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Activity remains strong and automation-heavy across gh-aw. Copilot token spend is highly concentrated (Agent Persona Explorer and CI Cleaner dominate cost), while workflow reliability is generally high with CI lint failures being the primary reliability regression this week. Session analytics show improved completion and excellent recovery outcomes, but orchestration sessions continue to mask true task success rates.
MCP analysis highlights a persistent efficiency gap: code security and PR listing tools remain bloated, while labels/branches/workflows/discussions stay highly efficient. Issue activity is healthy with closures outpacing new issues, and auto-triage reports confirm 0% open unlabeled issues. Workflow logs could not be analyzed in this run because pre-downloaded log summaries were not available in the environment.
Workflow reliability: 97.6% overall success; CI workflow at 83.3% due to lint failures.
Issue Label Mix (Top 8)
automation (150)
cookie (115)
testing (65)
enhancement (55)
code-quality (51)
agentic-workflows (45)
bug (42)
documentation (40)
🚨 Notable Findings
MCP structural analysis confirms list_code_scanning_alerts is the largest payload (24K tokens, 97KB) and list_pull_requests remains heavy due to duplicated repo objects.
CI lint failures were tied to a specific staticcheck rule and a missing origin/main diff baseline, indicating a workflow/config issue rather than infrastructure instability.
Issue activity shows a strong closure rate and robust automation footprint; open unlabeled issues remain at 0.
🔮 Predictions and Recommendations
Expect continued cost concentration unless high-spend workflows add guardrails; token budgets could yield immediate savings.
MCP tool bloat will remain a context tax without selective field or summary options; consider guidance to agents on avoiding heavy tools unless strictly needed.
Separate orchestration from task metrics in session analysis to improve interpretability and drive more targeted improvements.
✅ Actionable Agentic Tasks (Quick Wins)
Fix staticcheck QF1003 in pkg/campaign/interactive.go and stabilize incremental linting when origin/main is missing.
Harden GitHub remote MCP auth-test by checking tool availability and adding a local-mode fallback or actionable failure.
Add token-budget guardrails for Agent Persona Explorer and CI Cleaner (prompt scoping, output limits, caching).
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🔍 Executive Summary
Activity remains strong and automation-heavy across gh-aw. Copilot token spend is highly concentrated (Agent Persona Explorer and CI Cleaner dominate cost), while workflow reliability is generally high with CI lint failures being the primary reliability regression this week. Session analytics show improved completion and excellent recovery outcomes, but orchestration sessions continue to mask true task success rates.
MCP analysis highlights a persistent efficiency gap: code security and PR listing tools remain bloated, while labels/branches/workflows/discussions stay highly efficient. Issue activity is healthy with closures outpacing new issues, and auto-triage reports confirm 0% open unlabeled issues. Workflow logs could not be analyzed in this run because pre-downloaded log summaries were not available in the environment.
📊 Pattern Analysis
Positive patterns
Concerning patterns
Emerging patterns
📈 Trend Intelligence
Issue Label Mix (Top 8)
🚨 Notable Findings
🔮 Predictions and Recommendations
✅ Actionable Agentic Tasks (Quick Wins)
pkg/campaign/interactive.goand stabilize incremental linting when origin/main is missing.📚 Source Attribution
/tmp/gh-aw/weekly-issues-data/issues.json/tmp/gh-aw/repo-memory/default/memory/deep-report/*.mdReferences:
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