[copilot-session-insights] Daily Copilot Agent Session Analysis — 2026-08-21

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🤖 Copilot Agent Session Analysis — 2026-08-21

Executive Summary

• Sessions Analyzed: 50 workflow runs (see data-quality note below — these are CI/gate workflow runs, not Copilot agent conversation sessions)
• Analysis Period: 2026-08-21, 03:52–05:34 UTC (~102-minute window); 44-day gap since the last recorded snapshot (2026-07-08)
• Completion Rate: 38% (19/50) — 2nd-highest ever recorded, behind only 2026-07-04's 54%
• Average Duration: 2.96 min (all 50); 7.05 min mean / 7.85 min median among the 21 runs that actually executed
• Experimental Strategy: Bundle Weak-Link Isolation (BWLI) — roll=3/100

⚠️ Data-quality note: No actual Copilot agent conversation transcripts were available this run (/tmp/gh-aw/agent/session-data/logs/ was empty — 0 *-conversation.txt files, the 45th+ consecutive day this has been true). sessions-list.json contains only CI/gate workflow-run metadata (name, conclusion, timestamps) for CI checks like CGO, CWI, CJS, Squad, and various review-bot workflows — not the agent's own reasoning, tool calls, or prompts. Everything below is therefore a metadata-only analysis (workflow outcomes, timing, branch/gate patterns). Turn-by-turn behavioral claims (tool-usage patterns, loop detection, prompt quality, context confusion) are not measurable from this data and are marked N/A rather than estimated.

📈 Session Trends Analysis

Completion Patterns

Today's 38% completion rate is the second-highest snapshot ever recorded, well above the historical ~13% mean, but it arrives right after a 44-day gap in snapshots (shaded region) so the trajectory between 07-08 and today is unknown. The spike is entirely attributable to the review/gate bundle executing green on 2 branches, not to a change in agent-conversation success (see Success Factors).

Duration & Efficiency

Average duration (2.96 min) and executed-run volume (21/50) both rose versus 07-08, tracking the same full-bundle executions. Median duration remains pinned at 0 min across almost every snapshot because roughly half of all runs are still instant action_required gate stubs rather than executed work.

Key Metrics

Metric	Value	Trend (vs 2026-07-08)
Total Workflow Runs	50	→
Successful	19 (38%)	↑ (was 4, 8%)
Failed	1 (2%)	→ (CGO)
Cancelled	1 (2%)	→ (CGO)
Action Required (gate stubs)	29 (58%)	↓ (was 41, 82%)
Average Duration	2.96 min	↑ (was 1.59 min)
Loop Detection Rate	N/A — no transcripts	→
Context Issues	N/A — no transcripts	→
Orphaned-Branch Escalations	0	→

Success Factors ✅

Patterns associated with workflow-run success today (workflow-level, not agent-behavior level):

1. Full review/gate bundle completion: On the 2 branches (copilot/gh-aw-update-latest-skills, copilot/add-working-set-rebuild-factor) where the complete ~9-workflow review bundle actually ran, 16 of 18 workflow instances (89%) succeeded.
2. Provenance concentration in review/QA workflows: All 19 successes came from the review-bundle workflows — Test Quality Sentinel, PR Code Quality Reviewer, Ponytail Reviewer, Matt Pocock Skills Reviewer, Impeccable Skills Reviewer, Design Decision Gate, CWI, CJS, Running Copilot Code Review, PR Data Prefetch. Zero successes came from the cloud-agent conversational workflow. This continues the long-observed provenance_inversion pattern (successes = gate/review workflows executing green, not agent-conversation completions).
3. Two-branch concentration: 34 of 50 runs (68%) trace to just 2 branches with real code pushes; the other 2 branches (aw-failures-fix-codex-cli-crash, bump-awf-firewall-v0-28-3) only fired lightweight gate stubs (0s duration, still action_required).

Failure Signals ⚠️

1. CGO as a single point of failure: Across the 2 branches where the full bundle executed, CGO was the only non-successful workflow in both cases — one failure on gh-aw-update-latest-skills (590s), one cancelled on add-working-set-rebuild-factor (243s). Every other one of the 8 other bundle workflows passed on both branches (16/16). Failure rate for CGO specifically: 2/2 (100%) when the bundle actually executes.
2. Gate-stub saturation persists: 29/50 (58%) of today's runs are still 0-duration action_required stubs, consistent with the long-running gate_sweep_zero_duration pattern — these are approval placeholders, not executed work.
3. Narrow branches never resolve: aw-failures-fix-codex-cli-crash (12 gate firings) and bump-awf-firewall-v0-28-3 (4 gate firings) show only CGO/CWI/CJS/Agentic Commands/Squad stubs stuck at action_required throughout the observed window — no push-driven bundle executed for them in this snapshot.

Prompt Quality Analysis 📝

Per-Prompt Breakdown

Not assessable this run — no agent conversation transcripts were available, so no prompts were visible in the fetched data. This section is intentionally left without fabricated examples; see the data-quality note in the Executive Summary.

Orphaned Branch Escalation Alerts 🚨

Branches with ≥5 simultaneous gate firings and no Copilot agent assigned for >2 hours.

Summary

• Orphaned Branches Today: 0 out of 24 open PRs (0%)
• Historical Baseline (per workflow template): ~40% — this figure appears stale. The actual observed baseline across 40+ prior snapshots (2026-06-03 through 2026-07-08) has consistently been ~0%, not ~40%. Recommend correcting the template's assumption or clarifying what population it was computed over.
• Status: NORMAL

Escalation Candidate Details

✅ No orphaned branches exceed the escalation threshold today. All 4 in-progress gate runs observed during the fetch window were on main; none were on copilot/* branches, so no branch had a nonzero gate count to evaluate.

Caveat on detection reliability: the escalation script matches on assignee login "copilot-swe-agent", but this repository's actual Copilot-assignment login is "Copilot" (confirmed directly from gh api .../pulls). The filter therefore never positively matches real assignee data here — today's "0 escalations" is correct only because gate activity on copilot/* branches happened to be zero, not because the assignee check worked as intended. This should be fixed before the 0%-orphan streak is treated as validated evidence rather than lucky timing.

CI Waste Estimate

• Orphaned gate-hours today: 0 (no escalation candidates)
• Recoverable capacity: N/A

Notable Observations

Loop Detection and Session Diagnostics

Loop Detection

• Sessions with loops: N/A — no transcripts to inspect
• Average loop count: N/A
• Common loop patterns: N/A

Tool Usage

• Most-run workflows: CWI (9 runs), CGO (9 runs), CJS (6), Agentic Commands (5), Squad (3) — all others (review bots, Doc Build, PR Data Prefetch, etc.) ran 2× each
• Workflow success rates: 19/50 overall; CGO specifically 0/2 (0%) when it actually ran to a terminal non-stub state today
• Missing tools: Agent conversation transcript export — needed for any real tool-usage/loop/prompt analysis (see Actionable Recommendations)

Context Issues

• Sessions with confusion: N/A — no transcripts
• Common confusion points: N/A
• Clarification requests: N/A

Experimental Analysis

This run included experimental strategy: Bundle Weak-Link Isolation (BWLI)

Instead of treating a branch's full review/gate bundle as one pass/fail aggregate, BWLI decomposes it per workflow-name to find which specific check accounts for the gap between a "perfect" bundle and a "near-perfect" one.

Findings:

• Both branches with a fully-executed bundle today had exactly one non-success, and in both cases it was CGO (1 failure, 1 cancellation).
• Every other workflow in both bundles (8 distinct checks × 2 branches = 16 instances) passed — a clean 16/16.
• This means today's "89% bundle success rate" understates how systemic the gap is: it isn't spread across many flaky checks, it's concentrated 100% in one.

Effectiveness: High
Recommendation: Refine — track per-workflow-name failure attribution within executed bundles as a standing metric, not just aggregate completion%, and open a targeted investigation if a single workflow keeps recurring as the sole weak link across days.

Actionable Recommendations

For Users Writing Task Descriptions

No prompt data was available this run, so no evidence-based prompt-quality guidance can be given today. General best practices (specific file references, clear acceptance criteria) still apply per prior analyses' findings, but cannot be re-validated against today's data.

For System Improvements

1. Fix the orphan-escalation assignee check: the Phase 2b jq script filters on "copilot-swe-agent", but this repo's real Copilot-assignment login is "Copilot". Fix the match string (or make it configurable) so a future day with real gate activity on an unassigned copilot/* branch is actually detected.
   • Potential impact: High — the current 0%-orphan streak cannot be trusted as validated until this is fixed.
2. Investigate CGO flakiness: CGO was the sole non-success in both fully-executed bundles today (1 failure + 1 cancellation, 100% weak-link rate). Worth checking the two run logs directly (linked below) for a common root cause (timeout, resource contention, flaky test).
   • Potential impact: Medium — a fix could lift bundle success from 89% toward 100% on similar days.
3. Restore conversation-transcript fetching: this is the 45th+ consecutive day with zero conversation logs, meaning this workflow has been running as CI-metadata analysis only, not the turn-by-turn behavioral analysis it's designed to produce.
   • Potential impact: High — unlocks the entire behavioral-analysis half of this workflow's stated mission.

For Tool Development

1. Agent conversation transcript export: needed for tool-usage, loop-detection, and prompt-quality analysis as designed. Frequency of need: every session, every day, for 45+ consecutive days.

Historical Trends and Statistical Summary

Trends Over Time

• Completion rate trend: Sharp jump to 38% after a 44-day cache gap (last known point: 8% on 07-08). Second-highest completion ever recorded, well above the ~13% 30-day mean established before the gap. Consistent with the historical saw-tooth pattern (spikes of 20–54% between troughs of 2–8%), though the length of this particular gap means the trend line skips 44 days of unknown intermediate behavior.
• Average duration trend: 2.96 min, up from 1.59 min on 07-08, driven by more bundle workflows actually executing (21 non-zero runs vs 9).
• Orphan rate: Stayed at the ~0% baseline observed across 40+ prior snapshots — see the stale-baseline caveat above.

Statistical Summary

Total Workflow Runs Analyzed:   50
Successful:                     19 (38%)
Failed:                         1 (2%)
Cancelled:                      1 (2%)
Action Required (gate stubs):   29 (58%)
In-Progress:                    0 (0%)

Average Duration (all 50):      2.96 min
Median Duration (all 50):       0.0 min
Executed-only mean (n=21):      7.05 min
Executed-only median (n=21):    7.85 min
Longest run:                    10.45 min (CGO failure, gh-aw-update-latest-skills)
Shortest executed run:          0.33 min (PR Data Prefetch)

Loop Detection:                 N/A (no transcripts)
Context Issues:                 N/A (no transcripts)
Tool Failures:                  1 CGO failure + 1 CGO cancellation (workflow-level only)

High/Medium/Low-Quality Prompts: N/A (no prompts visible in available data)

Next Steps

• Fix the orphan-escalation script's assignee-login mismatch (copilot-swe-agent → Copilot)
• Investigate the two CGO failures/cancellations for a common root cause
• Prioritize restoring conversation-transcript fetching (45+ day outage) so behavioral analysis can resume
• Re-run analysis sooner than a 44-day gap to keep the trend series useful

References:

• CGO failure: https://github.com/github/gh-aw/actions/runs/32450532620
• CGO cancelled: https://github.com/github/gh-aw/actions/runs/32450499484
• This analysis run: §32456321810

Generated by 📊 Copilot Session Insights · agent · 180 AIC · ⌖ 16.4 AIC · ⊞ 18.9K · ◷

• expires on Aug 21, 2026, 11:36 PM UTC-08:00

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This discussion has been marked as outdated by Copilot Session Insights.

A newer discussion is available at Discussion #54762.