[ambient-context] Daily Ambient Context Optimizer - 2026-08-02

[github-actions]

Executive Summary

• Sampled 4 runs across 4 distinct workflows (Daily Cache Strategy Analyzer, Linter Miner, Issue Monster, PR Code Quality Reviewer).
• Median first-request size: 18,586 chars; P95: 22,159 chars.
• Largest: Issue Monster (27,564 chars); smallest: Linter Miner (14,751 chars).
• Auto-pause is active (7-day optimizer PR close-rate = 50%, ≥3 settled PRs), so this report is capped to 1 recommendation per the auto-pause rule.
• ⚠️ No canonical firewall event-logs.jsonl/events.jsonl or copilot-session-state artifacts were present in the downloaded log bundle for any sampled run; analysis fell back to prompt.txt (compile-time prompt) per the extraction fallback rules. agenticworkflows audit also timed out (60s) on repeated attempts, so no audit enrichment was possible this run.

Highest-Leverage Changes

1. Move inline GitHub issue/discussion body templates out of daily-cache-strategy-analyzer.md's main prompt into a smaller referenced skill/shared file, since Phase 5/6 embed full markdown+JSON templates (issue template, discussion template) directly in-line, inflating the first request even when no findings exist.

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	18,586
P95 chars	22,159
Largest sampled request	Issue Monster — 27,564 chars
Merged optimizer PRs (7d)	2
Closed optimizer PRs (7d)	2
Optimizer PR close-rate (7d)	50% (auto-pause: true)

Per-Run First-Request Metrics

Run	Workflow	Conclusion	Chars	Lines	Headings	Dup-line ratio
§30761624259	Daily Cache Strategy Analyzer	success	22,159	480	34	0.0037
§30759473080	Linter Miner	failure	14,751	208	13	0.0
§30761147188	Issue Monster	success	27,564	429	41	0.0
30759144524	PR Code Quality Reviewer	success	15,012	207	15	0.0

No inline ## agent:/## skill: declarations detected via regex in these 4 samples; github.mode: gh-proxy and cli-proxy: true were already correctly enabled in all 4 sampled workflows' source .md files, so no proxy-enablement recommendation is needed here.

Repeated Ambient Context Signals

• Daily Cache Strategy Analyzer's Phase 5 ("Create GitHub Issues for Problems Found") and Phase 6 ("Generate Discussion Report") sections embed complete markdown issue/discussion body templates (with placeholder severity, evidence, and JSON tracking snippets) directly inline — together these two phases account for a large fraction of that workflow's 480-line prompt regardless of whether any cache issue is actually detected.
• Issue Monster's "1. Review Pre-Searched and Prioritized Issue List" heading section is the single largest section observed across the sample (9,313 chars), driven by verbose bullet-listed filtering/scoring rules restated in prose that duplicate logic already computed in the pre-activation job outputs.
• Across the sample, shared/mcp-pagination.md (the "MCP Response Size Limits" boilerplate, ~3.5KB source) is imported by 19 workflows repo-wide; only Issue Monster in this sample showed it inline, consistent with per-workflow imports rather than duplication bloat.

Deterministic Analysis Output

Python script (/tmp/gh-aw/ambient-context/analyze_requests.py, stdlib-only) computed per-run bytes/chars/lines/words, heading/list/code-fence/table counts, inline agent/skill counts, duplicate line/paragraph ratios, and top repeated fragments/sections. Key findings:

• Duplicate-line ratios were near-zero (0.0–0.0037) in all 4 samples — no significant intra-request repetition detected.
• No request_input_tokens was available (firewall event logs absent), so char-to-token ratio could not be computed this run.
• Largest sections by heading, aggregated: "1. Review Pre-Searched and Prioritized Issue List" (9,313 chars, Issue Monster), inline safeoutputs create_pull_request example block (6,638 chars, shared across samples), "Phase 2: Detect Cache Issues" (2,154 chars, Daily Cache Strategy Analyzer).

Recommendations by Category

Workflow Markdown

• daily-cache-strategy-analyzer.md: Extract the Phase 5 issue-template and Phase 6 discussion-template markdown blocks into a small referenced shared file (e.g. .github/aw/cache-strategy-templates.md) and replace inline text with a short reference. Evidence: these two phases contain full placeholder markdown+JSON templates unconditionally loaded into every run's prompt (~15.5KB source file). Expected impact: medium (reduces prompt size without touching detection logic). Safe to implement immediately, subject to the 1,000-char/40% minimum-size guard — do not shrink below current safe threshold in one pass.

Skills

No skill-loading recommendation issued this cycle — auto-pause caps output to 1 recommendation total.

Agents

No agent-related recommendation issued this cycle — auto-pause caps output to 1 recommendation total.

References

• §30761624259
• §30761147188
• §30759473080

Generated by 🌫️ Daily Ambient Context Optimizer · auto · 69.1 AIC · ⌖ 7.05 AIC · ⊞ 12.4K · ◷

• expires on Aug 9, 2026, 12:15 PM UTC-08:00

[pelikhan]

@copilot make sure to download the "agent" artifact to find session files and firewall logs