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[ambient-context] Daily Ambient Context Optimizer - 2026-07-31 #49401

Description

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Warning

threat detection engine error
The threat detection engine encountered an error and could not complete analysis. This is a tooling failure, not a security finding.

Details

The threat detection engine failed to produce results.

Review the workflow run logs for details.

Executive Summary

  • Runs sampled: 4 (distinct workflows: 4) from the last 24h, no canonical sandbox/firewall/logs/api-proxy-logs/event-logs.jsonl or session-state events.jsonl artifacts were retained in this run's environment, so prompt.txt (compilation-debug artifact) was used as the fallback first-request source for all 4 samples per the extraction rules.
  • Median first-request size: 18,383.5 chars · P95: 20,241 chars.
  • Largest sampled request: Copilot Agent PR Analysis (copilot-agent-analysis.md) at 23,456 chars / 38 headings / 111 list items.
  • ⚠️ Auto-pause active: PR close-rate (7d) is 33.3% (≥30% threshold, 3 settled PRs), so this report is capped to 1 recommendation per policy, targeting the highest-confidence, non-blocked finding.

Highest-Leverage Changes

  1. copilot-agent-analysis.md ships both the structured and prose experiment-variant discussion templates (~530 chars of duplicated Markdown/format scaffolding) in every single run's prompt via {{#if experiments.output_format == ...}} blocks, even though only one variant is ever active per run. Converting the inactive variant to a {{#runtime-import?}} fragment (loaded only when needed) or removing the unused branch at compile time would shrink this workflow's first request — currently the largest sampled at 23,456 chars — without touching any blocked file.

CI-Validation Checklist for Implementing Agents

Any agent implementing workflow-file recommendations must complete every item below before opening a PR:

  • Run make recompile for every modified .github/workflows/*.md file — zero compilation errors required
  • Confirm no target workflow file is reduced by more than 40% of its current character count
  • Run make agent-report-progress before the final commit and confirm it passes
  • Check the blocked_files list in /tmp/gh-aw/ambient-context/closed-pr-targets.json (written by Step 4) — do not re-attempt changes to any file that appears in a closed ambient-context optimization PR from the last 14 days
  • Include a smoke-test result or dry-run output in the PR description for every changed workflow spec
  • Document all generated .lock.yml changes in the PR body
  • Do not submit as a draft PR

Key Metrics

Metric Value
Sampled runs 4
Distinct workflows 4
Median chars 18,383.5
P95 chars 20,241
Largest sampled request 23,456 chars (Copilot Agent PR Analysis)
Merged optimizer PRs (7d) 2
Closed optimizer PRs (7d) 1
Optimizer PR close-rate (7d) 33.3% (auto-pause: true)
Per-Run First-Request Metrics
Run Workflow Chars Headings List Items Code Fences Dup Line Ratio
§30656130875 Copilot Agent PR Analysis 23,456 38 111 22 0.0
§30656726052 Daily Code Metrics and Trend Tracking Agent 20,241 28 61 12 0.022
§30658064208 [aw] Failure Investigator (6h) 16,526 42 38 18 0.0
30650465992 Contribution Check 15,169 13 19 12 0.0

No inline ## agent:, ## linter:, or ## skill: blocks were found in any of the 4 samples; none reference SKILL.md.

Repeated Ambient Context Signals
  • Cross-run duplication was low overall (dup-line ratios 0.0–0.022); the strongest repeated fragments were shared reporting-style guardrails (### headers only, <details> collapsing guidance) rather than large redundant blocks — not a priority target under the auto-pause cap.
  • The dominant single-workflow bloat source was the dual-variant experiment template in copilot-agent-analysis.md, where the largest heading section (🤖 Copilot Agent PR Analysis - [DATE], 1,913 chars) embeds both output-format branches inline.
Deterministic Analysis Output

analyze_requests.py (stdlib-only) computed per-run bytes/chars/lines/words, heading/list/code-fence/table counts, inline agent/linter/skill counts, SKILL.md reference counts, duplicate-line/paragraph ratios, and top-5 largest sections by heading. Full output: /tmp/gh-aw/ambient-context/request-analysis.json and .md. Key finding: copilot-agent-analysis.md has 111 list items (highest of the sample) largely from its dual structured/prose report templates and jq-query examples.

Recommendations by Category

Workflow Markdown

  • copilot-agent-analysis.md: Convert the unused experiment-variant template branch to a lazily-loaded {{#runtime-import?}} fragment so only the active variant's ~500-char template is included in the compiled prompt per run. Impact: medium. Safety: needs manual review (touches active A/B experiment; verify metric collection is unaffected).

Skills

No recommendation this cycle — capped by auto-pause rule.

Agents

No recommendation this cycle — capped by auto-pause rule.

References

Generated by 🌫️ Daily Ambient Context Optimizer · auto · 74.1 AIC · ⊞ 12.3K ·

  • expires on Aug 7, 2026, 12:28 PM UTC-08:00

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