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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.
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
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
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.
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
sandbox/firewall/logs/api-proxy-logs/event-logs.jsonlor session-stateevents.jsonlartifacts were retained in this run's environment, soprompt.txt(compilation-debug artifact) was used as the fallback first-request source for all 4 samples per the extraction rules.Copilot Agent PR Analysis(copilot-agent-analysis.md) at 23,456 chars / 38 headings / 111 list items.Highest-Leverage Changes
copilot-agent-analysis.mdships both thestructuredandproseexperiment-variant discussion templates (~530 chars of duplicated Markdown/format scaffolding) in every single run's prompt via{{#ifexperiments.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:
make recompilefor every modified.github/workflows/*.mdfile — zero compilation errors requiredmake agent-report-progressbefore the final commit and confirm it passesblocked_fileslist 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.lock.ymlchanges in the PR bodyKey Metrics
Per-Run First-Request Metrics
No inline
## agent:,## linter:, or## skill:blocks were found in any of the 4 samples; none referenceSKILL.md.Repeated Ambient Context Signals
### headers only,<details>collapsing guidance) rather than large redundant blocks — not a priority target under the auto-pause cap.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.mdreference counts, duplicate-line/paragraph ratios, and top-5 largest sections by heading. Full output:/tmp/gh-aw/ambient-context/request-analysis.jsonand.md. Key finding:copilot-agent-analysis.mdhas 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