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[docs] docs: unbloat reference/audit.md - #70991

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Oct 22, 2026
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pelikhan merged 2 commits into
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Unbloat: docs/src/content/docs/reference/audit.md

Condensed redundant prose and examples while keeping all technical details:

  • Replaced the arguments table that duplicated the following paragraph
  • Merged overlapping --stdin, --no-baseline, and ambient_context explanations
  • Trimmed redundant example commands and repeated JSON-stability note
  • Tightened schema and cross-run intro text

Reduction: about 280 words (~4003 → ~3727), 40 lines removed. No code blocks, tables of codes, or links dropped.

🗜️ Compressed by Documentation Unbloat · pi · sonnet55 · 13.7 AIC · ⌖ 17.5 AIC · ⊞ 1.6K · ◷
Comment /unbloat to run again

  • expires on Oct 23, 2026, 5:04 PM UTC-08:00

@github-actions github-actions Bot added automation doc-unbloat documentation Improvements or additions to documentation labels Oct 22, 2026
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pelikhan marked this pull request as ready for review October 22, 2026 02:08
Copilot AI max review requested due to automatic review settings October 22, 2026 02:08
@pelikhan
pelikhan merged commit 59de7ba into main Oct 22, 2026
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pelikhan deleted the docs/unbloat-audit-6cdb416491cbef4e branch October 22, 2026 02:09
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🔬 Test Quality Sentinel is analyzing test quality on this pull request...

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🟡 Changes recommended

Some edits lose or obscure technical guidance that the documentation cleanup is intended to preserve.

2 open issues
What changed in this PR

This documentation-only PR shortens gh-aw’s auditing reference for single-run analysis and cross-run reports.

Changes:

  • Consolidates argument descriptions and overlapping flag explanations.
  • Removes redundant command examples.
  • Tightens token-usage, JSON-schema, and reporting descriptions.
File Description
docs/​src/​content/​docs/​reference/​audit.md Condenses audit and logs command guidance and examples.

Review effort: Max

safe-output diagnostics also print the relevant playbook URL.

The Metrics section includes an `ambient_context` object when available. Ambient context captures the first LLM inference footprint for the run. It is absent when token-usage data is unavailable for the run — for example, when neither `token-usage.jsonl` nor the fallback `agent_usage.json` can be found in the downloaded artifacts, which is common for older runs and runs without firewall/usage artifacts:
The Metrics section includes an `ambient_context` object capturing the first LLM inference footprint. It is absent when neither `token-usage.jsonl` nor the fallback `agent_usage.json` is in the downloaded artifacts (common for older runs and runs without firewall/usage artifacts):

Top-level fields in `--json` output are stable; nested sub-fields may be extended but are not removed without deprecation.

The report output includes an executive summary, domain inventory, metrics trends, MCP server health, and per-run breakdown. It detects cross-run anomalies such as domain access spikes, elevated MCP error rates, and connection rate changes.
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🎉 This pull request is included in a new release.

Release: v0.93.1

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