{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_142503_22529c.json", "session_id": "20260715_141858_bea0fa", "is_parent_taskseq_session": false, "message_index": 28, "tool_call_index": 0, "tool_call_id": "call_pkZiVVjaH44GhLzBRePg8mjT", "action": "patch", "skill_name": "bocha-search", "category": "", "file_path": "", "arguments": {"action": "patch", "name": "bocha-search", "content": "", "old_string": "For each research task, save the command output or the `RAW_JSON` block to an\nevidence file such as `output/evidence/bocha_<slug>.json`, then create a compact\nsource table with `title,url,siteName,datePublished,snippet,query`. Do not claim\nthat a source is verified unless this saved evidence shows a successful Bocha\nresponse for the current run.\n\nOnce configured, you can use this skill by asking in Chinese or English:", "new_string": "For each research task, save the command output or the `RAW_JSON` block to an\nevidence file such as `output/evidence/bocha_<slug>.json`, then create a compact\nsource table with `title,url,siteName,datePublished,snippet,query`. Do not claim\nthat a source is verified unless this saved evidence shows a successful Bocha\nresponse for the current run.\n\nWhen the user specifies an output directory, write all raw evidence and source\ntables under that directory rather than a default `output/evidence/` path. A\nreliable pattern is:\n\n1. `mkdir -p <output_dir>/evidence`\n2. Run one Bocha query per candidate source/dataset and redirect full script\n   output to `<output_dir>/evidence/bocha_<slug>.txt`.\n3. Extract the `RAW_JSON` block and parse results from\n   `data.webPages.value`.\n4. Write `<output_dir>/source_table.csv` and, when useful for review,\n   `<output_dir>/source_table.md` with columns:\n   `evidence_file,query,title,url,siteName,datePublished,snippet`.\n5. In the final answer, distinguish discovery evidence from the actual dataset\n   values; Bocha can identify/ground a public source, but the chart data should\n   still be fetched or ingested from the recommended source itself.\n\nOnce configured, you can use this skill by asking in Chinese or English:", "replace_all": false, "category": "", "file_path": "", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 29, "name": "skill_manage", "tool_call_id": "call_pkZiVVjaH44GhLzBRePg8mjT", "content_preview": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'bocha-search' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched SKILL.md in skill 'bocha-search' (1 replacement)."}}, "success": true, "written_path": ""}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_142953_15ba9a.json", "session_id": "taskseq_20260715_141809_6f4727", "is_parent_taskseq_session": true, "message_index": 39, "tool_call_index": 0, "tool_call_id": "call_bziPsVMP1SVmvPHJcM54f5X4", "action": "patch", "skill_name": "bocha-search", "category": "", "file_path": "", "arguments": {"action": "patch", "name": "bocha-search", "content": "", "old_string": "For each research task, save the command output or the `RAW_JSON` block to an\nevidence file such as `output/evidence/bocha_<slug>.json`, then create a compact\nsource table with `title,url,siteName,datePublished,snippet,query`. Do not claim\nthat a source is verified unless this saved evidence shows a successful Bocha\nresponse for the current run.", "new_string": "For each research task, save the command output or the `RAW_JSON` block to an\nevidence file such as `output/evidence/bocha_<slug>.json`, then create a compact\nsource table with `title,url,siteName,datePublished,snippet,query`. Do not claim\nthat a source is verified unless this saved evidence shows a successful Bocha\nresponse for the current run.\n\nWhen Bocha is used for chart/data-source discovery, treat it as evidence that a\nsource or dataset exists, not as proof of the actual time-series values. Download\nor ingest the underlying dataset separately when possible. If live dataset fetch\nfails, save the fetch attempt/error, label any minimal replacement dataset as\n\"illustrative\" or \"assumed,\" and keep factual claims limited to what the saved\nBocha evidence supports. See `references/chart-source-evidence.md` for the\nchart-deliverable evidence pattern.", "replace_all": false, "category": "", "file_path": "", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 40, "name": "skill_manage", "tool_call_id": "call_bziPsVMP1SVmvPHJcM54f5X4", "content_preview": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'bocha-search' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched SKILL.md in skill 'bocha-search' (1 replacement)."}}, "success": true, "written_path": ""}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_142953_15ba9a.json", "session_id": "taskseq_20260715_141809_6f4727", "is_parent_taskseq_session": true, "message_index": 41, "tool_call_index": 0, "tool_call_id": "call_aEqiV2uqqmMKHHj6GLKm76XM", "action": "write_file", "skill_name": "bocha-search", "category": "", "file_path": "references/chart-source-evidence.md", "arguments": {"action": "write_file", "name": "bocha-search", "content": "", "old_string": "", "new_string": "", "replace_all": false, "category": "", "file_path": "references/chart-source-evidence.md", "file_content": "# Chart-source evidence pattern for Bocha-backed deliverables\n\nUse this when a chart or weekly-update task lacks local data and public source discovery is required.\n\n## Evidence workflow\n\n1. Run Bocha through the bundled script and save the full command output or `RAW_JSON` block under the run output directory, e.g. `output/source_discovery/evidence/bocha_<dataset>.txt`.\n2. Create a compact source table with at least: `evidence_file`, `query`, `title`, `url`, `siteName`, `datePublished`, and `snippet`.\n3. Use Bocha results to establish that a dataset/source exists and to record citation context.\n4. Separately fetch or ingest the actual dataset from the underlying provider when values are needed for charts.\n5. If the underlying provider fetch fails in the runtime, save a small evidence note with the attempted URL/command and error. Do not silently substitute values.\n6. If a minimal fallback dataset is necessary to complete the chart, label it clearly as `illustrative`, `assumed`, or `synthetic`, and constrain takeaways to the assumptions and saved evidence.\n\n## Pitfalls\n\n- Do not write that a source was \"verified\" unless the saved evidence shows a successful search/fetch for the current run.\n- Do not treat Bocha snippets as the authoritative data feed for a time series; snippets can mention stale or partial values.\n- In weekly-update charts, separate three artifacts: raw source evidence, cleaned chart data, and the visual/takeaway. This keeps claims traceable even when live data access is unavailable.\n", "absorbed_into": ""}, "tool_response": {"message_index": 42, "name": "skill_manage", "tool_call_id": "call_aEqiV2uqqmMKHHj6GLKm76XM", "content_preview": "{\"success\": true, \"message\": \"File 'references/chart-source-evidence.md' written to skill 'bocha-search'.\", \"path\": \"/data/tasks/00002/runtime/skills/research/bocha-search/references/chart-source-evidence.md\"}", "parsed": {"success": true, "message": "File 'references/chart-source-evidence.md' written to skill 'bocha-search'.", "path": "/data/tasks/00002/runtime/skills/research/bocha-search/references/chart-source-evidence.md"}}, "success": true, "written_path": "/data/tasks/00002/runtime/skills/research/bocha-search/references/chart-source-evidence.md"}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_144050_26ba8a.json", "session_id": "taskseq_20260715_141809_6f4727", "is_parent_taskseq_session": true, "message_index": 77, "tool_call_index": 0, "tool_call_id": "call_0fsN2Cw8mvdMJYyW8QdNi59x", "action": "write_file", "skill_name": "report-generator", "category": "", "file_path": "references/provenance_first_chart_qa.md", "arguments": {"action": "write_file", "name": "report-generator", "content": "", "old_string": "", "new_string": "", "replace_all": false, "category": "", "file_path": "references/provenance_first_chart_qa.md", "file_content": "# Provenance-first QA for chart/report deliverables\n\nUse this reference when preparing or reviewing business update charts, executive dashboards, or report packages where source evidence may be incomplete.\n\n## Trigger\n\n- User asks for charts with takeaways, anomalies, or watch-outs.\n- Local data is missing and a public or illustrative dataset is used.\n- A final package needs QA before being called done.\n- Multiple reviewers/delegate workstreams are requested for evidence, chart/story, and data checks.\n\n## Recommended workflow\n\n1. **Separate provenance from mechanics.**\n   - Evidence provenance: what source files prove, what they do not prove, and which claims are unsupported.\n   - Data QA: CSV/JSON/HTML consistency, derived metrics, hypothesis checks, row counts, latest/peak values.\n   - Chart/story critique: title, annotations, visual risks, overclaiming, threshold framing, and publication readiness.\n\n2. **Use parallel distinct roles when asked for final QA.**\n   - Evidence provenance reviewer: audit saved source/evidence files only; avoid adding new unsupported claims.\n   - Data QA reviewer: rerun lightweight scripts and compare prepared data across artifacts.\n   - Chart/story reviewer: challenge narrative strength against provenance and visual encoding.\n   - If a child returns generic guidance without inspecting local files, reject that finding and rerun the role with concrete file paths.\n\n3. **Verify tools/scripts before citing them.**\n   - Rerun lightweight scripts used for claims, e.g. `python qa_hypothesis_check.py`.\n   - Read back saved results, e.g. `qa_hypothesis_results.json`.\n   - Verify image existence and dimensions/size with a lightweight probe (PIL if available), not just file names.\n\n4. **Test hypotheses against the prepared dataset before writing the takeaway.**\n   - Example: “recent momentum cooled” → last two WoW values negative and latest below a reference line.\n   - Example: “peak is an anomaly” → peak is flagged and meets the stated z-score/extreme threshold.\n   - State whether each is supported only on the prepared dataset, partly supported, or unsupported.\n\n5. **Reconcile child findings explicitly.**\n   - Accepted: supported by files or verified scripts.\n   - Rejected: generic, unsupported, or overinterpretive.\n   - Turned into revision: valid concern that should change wording or caveats.\n\n## Provenance language patterns\n\nWhen official data retrieval fails but an intended source is identified:\n\n> Intended source series is [SOURCE/SERIES]. Direct source retrieval failed in this runtime. Latest/previous values are anchored to saved third-party/search evidence, but the full historical path was not independently verified. Treat generated dates, z-scores, flags, thresholds, and trend narrative as illustrative until official data is loaded.\n\nWhen chart data is illustrative:\n\n- Say “prepared illustrative series,” “source-validation pending,” or “prototype view.”\n- Do not say “verified trend,” “actual FRED history,” or “official threshold” unless the saved evidence proves it.\n- Put caveats in titles/subtitles or takeaway cards, not only in a small footnote.\n\n## Common revisions\n\n| Overclaim | Safer rewrite |\n|---|---|\n| “Cooling after an early-summer spike” | “Illustrative series shows a recent pullback; source validation pending” |\n| “Key anomaly” | “Local high,” “watch point,” or “highest point in the prepared series” |\n| “Threshold” | “Heuristic reference line, not official threshold” |\n| “Labor-market softening is resuming” | “Would warrant checking verified releases for renewed upward pressure in claims” |\n\n## Final QA artifact shape\n\nPrefer a compact, table-first review note:\n\n- Artifact availability and verification\n- Source/evidence support\n- Unsupported assumptions\n- Internal data consistency\n- Hypothesis outcomes\n- Accepted / rejected / turned-into-revision child findings\n- Final use status: internal draft/prototype vs publication-ready\n\nAlso produce a short `revision_notes.md` when requested, with:\n\n- Source/assumption balance\n- Two tested hypotheses\n- Draft-to-rewrite table\n- Recommended weekly-update takeaway\n", "absorbed_into": ""}, "tool_response": {"message_index": 78, "name": "skill_manage", "tool_call_id": "call_0fsN2Cw8mvdMJYyW8QdNi59x", "content_preview": "{\"success\": true, \"message\": \"File 'references/provenance_first_chart_qa.md' written to skill 'report-generator'.\", \"path\": \"/data/tasks/00002/runtime/skills/openclaw-imports/report-generator/references/provenance_first_chart_qa.md\"}", "parsed": {"success": true, "message": "File 'references/provenance_first_chart_qa.md' written to skill 'report-generator'.", "path": "/data/tasks/00002/runtime/skills/openclaw-imports/report-generator/references/provenance_first_chart_qa.md"}}, "success": true, "written_path": "/data/tasks/00002/runtime/skills/openclaw-imports/report-generator/references/provenance_first_chart_qa.md"}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_144050_26ba8a.json", "session_id": "taskseq_20260715_141809_6f4727", "is_parent_taskseq_session": true, "message_index": 79, "tool_call_index": 0, "tool_call_id": "call_waMGQK2OEp6y7dRR2IoUcE9L", "action": "patch", "skill_name": "report-generator", "category": "", "file_path": "", "arguments": {"action": "patch", "name": "report-generator", "content": "", "old_string": "## Resources\n\n- [Matplotlib](https://matplotlib.org/)\n- [Plotly](https://plotly.com/)\n- [ReportLab](https://www.reportlab.com/)\n", "new_string": "## QA and Provenance Guardrails\n\nFor weekly-update chart packages or executive report decks, especially when local data is missing or source retrieval is partial, use the provenance-first QA pattern in `references/provenance_first_chart_qa.md`.\n\nKey reminders:\n- Separate **evidence provenance**, **data QA**, and **chart/story critique** into distinct review workstreams when the user asks for a final QA pass.\n- Rerun lightweight scripts and read back saved outputs before citing metrics or hypothesis results.\n- If data is illustrative, put that caveat in the title/subtitle/takeaway, not only in a small footnote.\n- Reconcile reviewer findings explicitly as **accepted**, **rejected**, or **turned into revision**.\n\n## Resources\n\n- [Matplotlib](https://matplotlib.org/)\n- [Plotly](https://plotly.com/)\n- [ReportLab](https://www.reportlab.com/)\n- Provenance-first chart/report QA: `references/provenance_first_chart_qa.md`\n", "replace_all": false, "category": "", "file_path": "", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 80, "name": "skill_manage", "tool_call_id": "call_waMGQK2OEp6y7dRR2IoUcE9L", "content_preview": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'report-generator' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched SKILL.md in skill 'report-generator' (1 replacement)."}}, "success": true, "written_path": ""}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_145631_0187e3.json", "session_id": "taskseq_20260715_141809_6f4727", "is_parent_taskseq_session": true, "message_index": 129, "tool_call_index": 0, "tool_call_id": "call_bfRRMHhpRYNY9eIQn6bT6GKU", "action": "patch", "skill_name": "report-generator", "category": "", "file_path": "references/provenance_first_chart_qa.md", "arguments": {"action": "patch", "name": "report-generator", "content": "", "old_string": "## Final QA artifact shape\n\nPrefer a compact, table-first review note:\n\n- Artifact availability and verification\n- Source/evidence support\n- Unsupported assumptions\n- Internal data consistency\n- Hypothesis outcomes\n- Accepted / rejected / turned-into-revision child findings\n- Final use status: internal draft/prototype vs publication-ready\n\nAlso produce a short `revision_notes.md` when requested, with:\n\n- Source/assumption balance\n- Two tested hypotheses\n- Draft-to-rewrite table\n- Recommended weekly-update takeaway\n", "new_string": "## Final QA artifact shape\n\nPrefer a compact, table-first review note:\n\n- Artifact availability and verification\n- Source/evidence support\n- Unsupported assumptions\n- Internal data consistency\n- Hypothesis outcomes\n- Accepted / rejected / turned-into-revision child findings\n- Final use status: internal draft/prototype vs publication-ready\n\nAlso produce a short `revision_notes.md` when requested, with:\n\n- Source/assumption balance\n- Two tested hypotheses\n- Draft-to-rewrite table\n- Recommended weekly-update takeaway\n\n## Closeout hardening for repeated QA / acceptance requests\n\nWhen the user asks for another “substantive check,” “don’t end yet,” or wants acceptance proof after the first QA pass, add a package-level handoff layer rather than only restating the same QA:\n\n1. **Create governing handoff files under the required output directory.** Useful defaults:\n   - `FINAL_ACCEPTANCE_STATEMENT.md`: conditional acceptance status, scope, evidence index, prohibited claims, release gate.\n   - `VERIFICATION_LOG.md`: delegate roles used, commands rerun, file sizes/dimensions, key read-backs.\n   - `MANIFEST.md`: human-readable file inventory, traceability chain, data profile, reproduction commands, limitations.\n   - `manifest.json`: machine-readable file list with sizes, hashes, chart dimensions, data profile, source verification flags.\n   - `PACKAGE_README.md`: allowed/not-allowed use, data status, precedence note, external-use gate.\n2. **Make the final acceptance statement the precedence document.** If chart text, JSON summaries, or scripts still contain older overclaims, state that `FINAL_ACCEPTANCE_STATEMENT.md` governs, then revise the generated artifacts when feasible.\n3. **Fix the generator source before patching generated outputs.** If `build_charts.py` creates risky wording, patch the script, rerun it, then rerun QA; do not only edit `chart_summary.json` or HTML manually.\n4. **Use portable paths in deliverable scripts.** Prefer `OUT = Path(__file__).resolve().parent` or an `ARTIFACT_ROOT` env var over absolute output paths in reusable scripts.\n5. **Canonicalize evidence paths.** If a child creates `output/output/...` from running in the artifact root, copy the evidence to the canonical `evidence/...` path, note the nested path only as historical, and cite the canonical path in manifests.\n6. **Scan generated artifacts for forbidden language.** For source-validation-pending charts, check generated user-facing files for terms like `spike`, `anomaly`, `labor-market softening`, `official threshold`, `verified FRED`, and ensure any occurrence is either removed or clearly framed as a prohibited/unsafe phrase in QA docs.\n7. **Do not add source claims to solve wording problems.** If official data is still missing, strengthen caveats and release gates; do not infer official values, dates, thresholds, or macro conclusions from search snippets.\n\n## Public evidence handling\n\nWhen local materials are insufficient and public evidence is required:\n\n- Use the required search skill/tooling for the environment, save raw output under `evidence/`, and add it to the evidence index.\n- A search result can support source identity or source-discovery trace, but it does not automatically verify a full time series, exact observation dates, official thresholds, or macro conclusions.\n- Keep a source table compact but preserve enough numeric snippet/context to support any numeric claim; otherwise cite the raw evidence file and caveat the value.\n", "replace_all": false, "category": "", "file_path": "references/provenance_first_chart_qa.md", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 130, "name": "skill_manage", "tool_call_id": "call_bfRRMHhpRYNY9eIQn6bT6GKU", "content_preview": "{\"success\": true, \"message\": \"Patched references/provenance_first_chart_qa.md in skill 'report-generator' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched references/provenance_first_chart_qa.md in skill 'report-generator' (1 replacement)."}}, "success": true, "written_path": ""}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_150557_bbbb97.json", "session_id": "taskseq_20260715_141809_6f4727", "is_parent_taskseq_session": true, "message_index": 157, "tool_call_index": 0, "tool_call_id": "call_C1XIq0hReZ4iWGC89BwXkFO3", "action": "patch", "skill_name": "bocha-search", "category": "", "file_path": "", "arguments": {"action": "patch", "name": "bocha-search", "content": "", "old_string": "## Best Practices\n\n1. **Use Chinese queries** for better Chinese content results\n2. **Enable summaries** (`summary: true`) for better context\n3. **Set appropriate freshness** based on your needs:\n   - Breaking news: `\"oneDay\"`\n   - Recent developments: `\"oneWeek\"`\n   - General research: `\"noLimit\"`\n4. **Start with count=10**, increase if needed (max 50)\n5. **Handle rate limits gracefully** in production use\n", "new_string": "## Best Practices\n\n1. **Use Chinese queries** for better Chinese content results\n2. **Enable summaries** (`summary: true`) for better context\n3. **Set appropriate freshness** based on your needs:\n   - Breaking news: `\"oneDay\"`\n   - Recent developments: `\"oneWeek\"`\n   - General research: `\"noLimit\"`\n4. **Start with count=10**, increase if needed (max 50)\n5. **Handle rate limits gracefully** in production use\n6. **Separate source-discovery evidence from data verification.** A saved Bocha result can support that a public source/page/series exists (for example, a FRED series identity), but it does not by itself verify the current numeric dataset unless the saved raw evidence contains the exact value/date/source needed. If the authoritative CSV/API fetch fails, label downstream charts as source-validation-pending or illustrative; do not upgrade search snippets into official observations.\n7. **For chart/report packages, keep a provenance gate.** Save raw Bocha output and a compact source table, then add an evidence index or acceptance note that states what the search evidence supports and what it does not support (e.g. series identity vs. official latest value vs. full history). This prevents later chart titles, KPIs, or summaries from overclaiming beyond the saved evidence.\n", "replace_all": false, "category": "", "file_path": "", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 158, "name": "skill_manage", "tool_call_id": "call_C1XIq0hReZ4iWGC89BwXkFO3", "content_preview": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'bocha-search' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched SKILL.md in skill 'bocha-search' (1 replacement)."}}, "success": true, "written_path": ""}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_151902_2c08a9.json", "session_id": "taskseq_20260715_141809_6f4727", "is_parent_taskseq_session": true, "message_index": 185, "tool_call_index": 0, "tool_call_id": "call_3ON4z5xB9ySsr7c8x5yt0l9W", "action": "patch", "skill_name": "report-generator", "category": "", "file_path": "references/provenance_first_chart_qa.md", "arguments": {"action": "patch", "name": "report-generator", "content": "", "old_string": "## Closeout hardening for repeated QA / acceptance requests\n\nWhen the user asks for another “substantive check,” “don’t end yet,” or wants acceptance proof after the first QA pass, add a package-level handoff layer rather than only restating the same QA:\n\n1. **Create governing handoff files under the required output directory.** Useful defaults:\n   - `FINAL_ACCEPTANCE_STATEMENT.md`: conditional acceptance status, scope, evidence index, prohibited claims, release gate.\n   - `VERIFICATION_LOG.md`: delegate roles used, commands rerun, file sizes/dimensions, key read-backs.\n   - `MANIFEST.md`: human-readable file inventory, traceability chain, data profile, reproduction commands, limitations.\n   - `manifest.json`: machine-readable file list with sizes, hashes, chart dimensions, data profile, source verification flags.\n   - `PACKAGE_README.md`: allowed/not-allowed use, data status, precedence note, external-use gate.\n2. **Make the final acceptance statement the precedence document.** If chart text, JSON summaries, or scripts still contain older overclaims, state that `FINAL_ACCEPTANCE_STATEMENT.md` governs, then revise the generated artifacts when feasible.\n3. **Fix the generator source before patching generated outputs.** If `build_charts.py` creates risky wording, patch the script, rerun it, then rerun QA; do not only edit `chart_summary.json` or HTML manually.\n4. **Use portable paths in deliverable scripts.** Prefer `OUT = Path(__file__).resolve().parent` or an `ARTIFACT_ROOT` env var over absolute output paths in reusable scripts.\n5. **Canonicalize evidence paths.** If a child creates `output/output/...` from running in the artifact root, copy the evidence to the canonical `evidence/...` path, note the nested path only as historical, and cite the canonical path in manifests.\n6. **Scan generated artifacts for forbidden language.** For source-validation-pending charts, check generated user-facing files for terms like `spike`, `anomaly`, `labor-market softening`, `official threshold`, `verified FRED`, and ensure any occurrence is either removed or clearly framed as a prohibited/unsafe phrase in QA docs.\n7. **Do not add source claims to solve wording problems.** If official data is still missing, strengthen caveats and release gates; do not infer official values, dates, thresholds, or macro conclusions from search snippets.\n", "new_string": "## Closeout hardening for repeated QA / acceptance requests\n\nWhen the user asks for another “substantive check,” “don’t end yet,” or wants acceptance proof after the first QA pass, add a package-level handoff layer rather than only restating the same QA:\n\n1. **Create governing handoff files under the required output directory.** Useful defaults:\n   - `FINAL_ACCEPTANCE_STATEMENT.md`: conditional acceptance status, scope, evidence index, prohibited claims, release gate.\n   - `VERIFICATION_LOG.md`: delegate roles used, commands rerun, file sizes/dimensions, key read-backs.\n   - `MANIFEST.md`: human-readable file inventory, traceability chain, data profile, reproduction commands, limitations.\n   - `manifest.json`: machine-readable file list with sizes, hashes, chart dimensions, data profile, source verification flags. Do not try to make a manifest validate its own full hash in-place; either exclude the manifest self-hash/size with an explicit `integrity_note`, use an external checksum file, or define a canonical hash rule that omits the self-hash field.\n   - `PACKAGE_README.md`: allowed/not-allowed use, data status, precedence note, external-use gate.\n   - `FINAL_CHECKLIST.md`: status/scope gate, source-data gate, numeric-claim gate, language gate, artifact-consistency gate, and external-release gate.\n   - `FINAL_CLOSEOUT_NOTE.md`: one-page handoff note for downstream readers; it must not supersede the final acceptance statement.\n   - `FINAL_DELTA_LOG.md` or `CHANGELOG.md`: record last-stage caveat/manifest/dashboard wording changes so older QA logs with stale byte sizes are not treated as current integrity evidence.\n   - `EVIDENCE_INDEX.md`: standalone evidence/artifact map for handoff convenience, even if the acceptance statement already contains an evidence table.\n2. **Make the final acceptance statement the precedence document.** If chart text, JSON summaries, scripts, README, manifest entries, or earlier QA logs conflict with `FINAL_ACCEPTANCE_STATEMENT.md`, state that the final acceptance statement governs. Add supersession notes to older QA/verification logs when final edits change file sizes or wording.\n3. **Fix the generator source before patching generated outputs.** If `build_charts.py` creates risky wording, patch the script, rerun it, then rerun QA; do not only edit `chart_summary.json` or HTML manually.\n4. **Use portable paths in deliverable scripts.** Prefer `OUT = Path(__file__).resolve().parent` or an `ARTIFACT_ROOT` env var over absolute output paths in reusable scripts.\n5. **Canonicalize evidence paths.** If a child creates `output/output/...` from running in the artifact root, copy the evidence to the canonical `evidence/...` path, note the nested path only as historical, and cite the canonical path in manifests.\n6. **Scan generated artifacts for forbidden language.** For source-validation-pending charts, check generated user-facing files for terms like `spike`, `anomaly`, `labor-market softening`, `official threshold`, `verified FRED`, and ensure any occurrence is either removed or clearly framed as a prohibited/unsafe phrase in QA docs. Also downgrade standalone UI labels like `Latest` to `Final prepared`, and replace economic labels like `deterioration/improvement` with prepared-series movement language.\n7. **Do not add source claims to solve wording problems.** If official data is still missing, strengthen caveats and release gates; do not infer official values, dates, thresholds, or macro conclusions from search snippets.\n8. **Avoid redundant public searches once the evidence class is exhausted.** If saved raw search evidence already supports only source identity/discovery and the remaining gap is official raw data retrieval, do not keep re-running search. State that more search results will not upgrade the evidence level; the release gate is direct official data retrieval.\n9. **Re-read after child edits.** If delegate workers modify governance files the parent previously read, re-read the changed files before further edits or final claims.\n", "replace_all": false, "category": "", "file_path": "references/provenance_first_chart_qa.md", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 186, "name": "skill_manage", "tool_call_id": "call_3ON4z5xB9ySsr7c8x5yt0l9W", "content_preview": "{\"success\": true, \"message\": \"Patched references/provenance_first_chart_qa.md in skill 'report-generator' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched references/provenance_first_chart_qa.md in skill 'report-generator' (1 replacement)."}}, "success": true, "written_path": ""}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_153001_9fd7a4.json", "session_id": "20260715_152443_fc32ce", "is_parent_taskseq_session": false, "message_index": 39, "tool_call_index": 0, "tool_call_id": "call_kvaSYWRmwhL5JqW2Q8UBiRZK", "action": "write_file", "skill_name": "bocha-search", "category": "", "file_path": "references/industry-open-data-corroboration.md", "arguments": {"action": "write_file", "name": "bocha-search", "content": "", "old_string": "", "new_string": "", "replace_all": false, "category": "", "file_path": "references/industry-open-data-corroboration.md", "file_content": "# Industry/open-data corroboration with Bocha evidence\n\nUse this reference when the task asks for source validation/corroboration of public economic or industry data using Bocha search evidence.\n\n## Pattern\n\n1. Save raw Bocha outputs under the user-specified evidence directory, commonly:\n   `output/evidence/source_validation/`.\n2. Use exact-title/value queries in addition to broad discovery queries. Examples:\n   - `\"Initial Claims\" \"4-Week Moving Average\" \"IC4WSA\"`\n   - `\"IC4WSA\" \"Initial Claims, 4-Week Moving Average\"`\n   - `\"Initial Jobless Claims 4 Week Average\" \"Trading Economics\" United States`\n   - `\"initial jobless claims\" \"4-week moving average\" \"237,500\"`\n3. Parse the `RAW_JSON` block at `data.webPages.value` into a compact table with:\n   `evidence_file, rank, query, title, url, siteName, datePublished, snippet, summary`.\n4. Write both:\n   - `source_table.csv` for machine inspection\n   - `source_table.md` for reviewer-friendly relevant rows\n5. Add a short validation/corroboration note that states exactly what the saved evidence supports.\n\n## Classification rule\n\nBocha search evidence can usually support:\n\n- source/series identity, e.g. a FRED series page exists for `IC4WSA`;\n- industry-mirror snippets, e.g. Trading Economics page summary says `Actual 237.50`, `Previous 240.25`, unit `Thousand`, frequency `Weekly`.\n\nBocha evidence **does not** provide release-quality observation-level validation unless the saved raw evidence itself contains the complete date/value table needed for comparison. Search-result snippets should be labeled as corroboration, not validation.\n\n## Recommended wording\n\n- `Can corroborate series identity and latest/previous value snippets only.`\n- `Cannot fully validate the prepared CSV observation-by-observation without a direct official/open-data observation file.`\n- `Full validation requires saving a direct official/open-data CSV/API response with SHA-256/provenance and comparing row-by-row after unit conversion.`\n\n## Example acceptance distinction\n\nFor an IC4WSA prepared CSV, a Trading Economics snippet reporting `Actual 237.50`, `Previous 240.25`, `Thousand`, `Weekly` can corroborate latest/prepared values such as `237.5` and `240.25` thousand. It cannot validate earlier rows or computed columns unless those rows are present in a directly retrieved source dataset.", "absorbed_into": ""}, "tool_response": {"message_index": 40, "name": "skill_manage", "tool_call_id": "call_kvaSYWRmwhL5JqW2Q8UBiRZK", "content_preview": "{\"success\": true, \"message\": \"File 'references/industry-open-data-corroboration.md' written to skill 'bocha-search'.\", \"path\": \"/data/tasks/00002/runtime/skills/research/bocha-search/references/industry-open-data-corroboration.md\"}", "parsed": {"success": true, "message": "File 'references/industry-open-data-corroboration.md' written to skill 'bocha-search'.", "path": "/data/tasks/00002/runtime/skills/research/bocha-search/references/industry-open-data-corroboration.md"}}, "success": true, "written_path": "/data/tasks/00002/runtime/skills/research/bocha-search/references/industry-open-data-corroboration.md"}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_153001_9fd7a4.json", "session_id": "20260715_152443_fc32ce", "is_parent_taskseq_session": false, "message_index": 41, "tool_call_index": 0, "tool_call_id": "call_baPniZDBkFK2zrfn8XgR2xID", "action": "patch", "skill_name": "bocha-search", "category": "", "file_path": "", "arguments": {"action": "patch", "name": "bocha-search", "content": "", "old_string": "6. **Separate source-discovery evidence from data verification.** A saved Bocha result can support that a public source or page or series exists (for example, a FRED series identity), but it does not by itself verify the current numeric dataset unless the saved raw evidence contains the exact value/date/source needed. If the authoritative CSV/API fetch fails, label downstream charts as source-validation-pending or illustrative; do not upgrade search snippets into official observations.\n7. **For chart/report packages, keep a provenance gate.** Save raw Bocha output and a compact source table, then add an evidence index or acceptance note that states what the search evidence supports and what it does not support (e.g. series identity vs. official latest value vs. full history). This prevents later chart titles, KPIs, or summaries from overclaiming beyond the saved evidence.", "new_string": "6. **Separate source-discovery evidence from data verification.** A saved Bocha result can support that a public source or page or series exists (for example, a FRED series identity), but it does not by itself verify the current numeric dataset unless the saved raw evidence contains the exact value/date/source needed. If the authoritative CSV/API fetch fails, label downstream charts as source-validation-pending or illustrative; do not upgrade search snippets into official observations.\n7. **For chart/report packages, keep a provenance gate.** Save raw Bocha output and a compact source table, then add an evidence index or acceptance note that states what the search evidence supports and what it does not support (e.g. series identity vs. official latest value vs. full history). This prevents later chart titles, KPIs, or summaries from overclaiming beyond the saved evidence.\n8. **For industry/open-data corroboration tasks, distinguish snippets from full validation.** Search exact series titles and exact values, parse `RAW_JSON` into source tables, and state whether evidence can validate a prepared CSV or only corroborate series/value snippets. See `references/industry-open-data-corroboration.md` for the reusable IC4WSA/Trading Economics/FRED pattern.", "replace_all": false, "category": "", "file_path": "", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 42, "name": "skill_manage", "tool_call_id": "call_baPniZDBkFK2zrfn8XgR2xID", "content_preview": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'bocha-search' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched SKILL.md in skill 'bocha-search' (1 replacement)."}}, "success": true, "written_path": ""}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_153154_5a09fa.json", "session_id": "20260715_152443_cb5093", "is_parent_taskseq_session": false, "message_index": 45, "tool_call_index": 0, "tool_call_id": "call_uFh4scD5VLGGad0LVbocWknp", "action": "write_file", "skill_name": "bocha-search", "category": "", "file_path": "references/official-source-validation.md", "arguments": {"action": "write_file", "name": "bocha-search", "content": "", "old_string": "", "new_string": "", "replace_all": false, "category": "", "file_path": "references/official-source-validation.md", "file_content": "# Official source validation pattern\n\nUse this when Bocha is being used to discover an authoritative data source, but the user needs validation against official observations (for example FRED/ALFRED series data).\n\n## Evidence bundle\n\nCreate the requested output directory and keep discovery and retrieval evidence separate:\n\n- `bocha_<slug>.txt` — full Bocha script output for each discovery query.\n- `bocha_source_table.csv` / `.md` — parsed results from `data.webPages.value` with columns `evidence_file,query,title,url,siteName,datePublished,snippet`.\n- `<provider>_<series>_csv.curl.log` — direct official CSV/API fetch log with URL, UTC timestamps, HTTP code, curl exit, content type, effective URL, bytes, and timing.\n- `<provider>_<series>_csv.headers` — response headers, if any.\n- `<provider>_<series>.body` — response body only when retrieved.\n- `official_source_validation_summary.md` / `.json` — final statement of what was and was not retrieved.\n\n## Robust Bocha parsing\n\nThe local Bocha script may wrap raw JSON as HTML comments:\n\n```text\n<!-- RAW_JSON_START -->\n{ ... }\n<!-- RAW_JSON_END -->\n```\n\nPrefer parsing that form first, then fall back to legacy `RAW_JSON:` suffix parsing. Useful result rows live under `data.webPages.value`.\n\n## Official observation gate\n\nBocha discovery evidence can support source identity (e.g. that a FRED series page exists), but it is not observation-level validation. Do not mark official observations as retrieved unless a direct official/open-data response body contains usable date/value rows from the authoritative provider.\n\nFor FRED/ALFRED-style validation, conservative direct fetch candidates include:\n\n- `https://fred.stlouisfed.org/graph/fredgraph.csv?id=<SERIES_ID>`\n- `https://alfred.stlouisfed.org/graph/alfredgraph.csv?id=<SERIES_ID>`\n- the official series page URL, if a CSV/API endpoint fails.\n\nIf the direct fetch fails, record the curl exit and HTTP code in the summary and explicitly state `official_observations_retrieved: false`. Do not upgrade search snippets or third-party mirrors into official observations.\n\n## Minimal summary language\n\nReport exact paths and a binary retrieval verdict:\n\n- Discovery evidence found: yes/no, with the strongest official-looking URL/title.\n- Direct official fetch attempted: yes/no, with log paths.\n- Official observations retrieved: yes/no.\n- If no: state the concrete reason from logs, without turning an environment-specific failure into a durable rule about the provider or tool.\n", "absorbed_into": ""}, "tool_response": {"message_index": 46, "name": "skill_manage", "tool_call_id": "call_uFh4scD5VLGGad0LVbocWknp", "content_preview": "{\"success\": true, \"message\": \"File 'references/official-source-validation.md' written to skill 'bocha-search'.\", \"path\": \"/data/tasks/00002/runtime/skills/research/bocha-search/references/official-source-validation.md\"}", "parsed": {"success": true, "message": "File 'references/official-source-validation.md' written to skill 'bocha-search'.", "path": "/data/tasks/00002/runtime/skills/research/bocha-search/references/official-source-validation.md"}}, "success": true, "written_path": "/data/tasks/00002/runtime/skills/research/bocha-search/references/official-source-validation.md"}
{"event_type": "hermes_skill_manage_call", "task_id": "00002", "runtime_root": "/data/tasks/00002/runtime", "session_file": "/data/tasks/00002/runtime/sessions/session_20260715_153154_5a09fa.json", "session_id": "20260715_152443_cb5093", "is_parent_taskseq_session": false, "message_index": 47, "tool_call_index": 0, "tool_call_id": "call_b0UTim1ONrmYeBKn3dO566lx", "action": "patch", "skill_name": "bocha-search", "category": "", "file_path": "", "arguments": {"action": "patch", "name": "bocha-search", "content": "", "old_string": "When Bocha is used for chart/data-source discovery, treat it as evidence that a\nsource or dataset exists, not as proof of the actual time-series values. Download\nor ingest the underlying dataset separately when possible. If live dataset fetch\nfails, save the fetch attempt/error, label any minimal replacement dataset as\n\"illustrative\" or \"assumed,\" and keep factual claims limited to what the saved\nBocha evidence supports. See `references/chart-source-evidence.md` for the\nchart-deliverable evidence pattern.", "new_string": "When Bocha is used for chart/data-source discovery, treat it as evidence that a\nsource or dataset exists, not as proof of the actual time-series values. Download\nor ingest the underlying dataset separately when possible. If live dataset fetch\nfails, save the fetch attempt/error, label any minimal replacement dataset as\n\"illustrative\" or \"assumed,\" and keep factual claims limited to what the saved\nBocha evidence supports. See `references/chart-source-evidence.md` for the\nchart-deliverable evidence pattern. For official-source validation runs where the\nuser asks for authoritative observations (for example FRED/ALFRED CSV/API\nchecks), follow `references/official-source-validation.md`: keep Bocha discovery,\ndirect official fetch logs, and the final observation-retrieval verdict separate.", "replace_all": false, "category": "", "file_path": "", "file_content": "", "absorbed_into": ""}, "tool_response": {"message_index": 48, "name": "skill_manage", "tool_call_id": "call_b0UTim1ONrmYeBKn3dO566lx", "content_preview": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'bocha-search' (1 replacement).\"}", "parsed": {"success": true, "message": "Patched SKILL.md in skill 'bocha-search' (1 replacement)."}}, "success": true, "written_path": ""}