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Most Complex Tasks: Cluster 6 — Engine Version Bumps & CLI Compatibility (85.2 files changed on average) and Cluster 1 (76.7 avg files changed, 11.4 avg comments)
Outliers: 0 clusters flagged this period (no cluster both ≥15 PRs and ≥10 points below the overall merge rate)
Workflow metrics: gh-aw logs / aw_info.json turn and cost data were not available in this run's sandbox (no gh-aw CLI or workflow-logs directory present); this analysis relies on PR-level signals only (comments, reviews, files changed)
Cluster Analysis
Cluster 1: Workflow & Agent Run Accounting / Failure Handling
Top Keywords: workflow, agent, usage, failure, run, accounting, update, issue
Characteristics: The largest and most heterogeneous cluster — usage/cost accounting, run discovery caching, failure handling across the agentic-workflow runtime.
Characteristics: Highest review/comment intensity of any cluster — iterative bot-assist fixes (PR Sous Chef, AIC daily accounting) that draw heavy back-and-forth before merge.
Top Keywords: model, routing, copilot, codex, engine, endpoint, provider, selection
Characteristics: Engine/model-selection logic (Grok, Codex, Pi) — frequent churn as providers change APIs; watch this cluster, it is the closest thing to an outlier this period.
Avg Comments / Reviews / Files Changed: 1.9 / 1.2 / 1.9 (lowest engagement and smallest diffs of any cluster)
Top Keywords: fix, actions, job, cause, failing, root, work, logs
Characteristics: Auto-dispatched "[WIP] Fix failing GitHub Actions job" tasks — single-purpose, low-touch, minimal review needed. 18 of the 559 PRs analyzed carry a [WIP] title prefix, and most of them land in this cluster.
[WIP] Fix failing GitHub Actions job for CLI update command
10
Closed
Full dataset: 559 PRs across 10 clusters; the table above shows 5 representative examples per cluster rather than the complete set, for readability.
Key Findings
No outlier cluster this period — every cluster's merge rate is within 6 points of the 84.4% overall baseline, except two clusters that exceed it by 10+ points (Firewall/Network at 94.8%, Multi-Target Log Limits at 94.4%). The codebase's automated task pipeline is currently well-calibrated across task types.
Scope drives friction, not failure — the two clusters with the largest average diffs (Engine Version Bumps at 85.2 files, Firewall Handling at 76.7 files) still merge at 86%+ and 95% respectively. Diff size alone doesn't predict rejection here; review engagement (comments/reviews) tracks with diff size but converts to merges.
Model-routing churn is the closest thing to a soft spot — Cluster 5 (Model Routing & Engine Provider Selection, 42 PRs, 78.6% merged) sits furthest below baseline of any cluster with 15+ PRs, driven by fast-moving provider API changes (Grok, Codex, Pi) that produce short-lived or superseded PRs.
[WIP] Fix failing GitHub Actions job is a distinct, low-touch task template — 18 of 559 PRs (3.2%) carry this auto-generated title pattern, clustering almost entirely into Cluster 10 with the lowest average comments/reviews/files-changed of any cluster — these read as single-purpose CI-triage dispatches rather than open-ended feature work.
Merge rate recovered mid-month — the 30-day rolling trend dropped to ~75% in the first days of October before recovering to 84% by today, a 9-point swing (see trend chart above).
Lowest-Merge Cluster Root Cause
Cluster: 5 — Model Routing & Engine Provider Selection (not a qualifying outlier)
Merge Rate Gap: 78.6% vs 84.4% overall (gap: 5.9 points)
Why no formal root-cause investigation: the outlier threshold requires both ≥15 PRs and a ≥10-point gap below the overall merge rate. No cluster met both conditions this period (largest gap was 5.9 points, cluster 5), so Phase 4.5 blocker classification was not triggered this run.
Watch item: Cluster 5's closed PRs (e.g. Fix PR Sous Chef threat-detection model #60321 "Fix PR Sous Chef threat-detection model") cluster around provider/model identifier churn — a pattern worth re-checking if its gap widens past 10 points in a future run.
Recommendations
Keep firewall/network and log-limit task framing as-is — Clusters 4 and 9 (94.8% and 94.4% merge rates) show that narrowly-scoped, single-concern prompts for egress/log-concurrency work convert reliably; use their prompt structure as a template for other infrastructure fixes.
Tighten model-routing task scoping — Cluster 5's below-baseline rate suggests prompts referencing fast-moving provider/model identifiers (Grok, Codex, Pi) should pin the specific API version or endpoint shape in the task description to reduce rework from upstream provider changes.
Keep the [WIP] Fix failing GitHub Actions job dispatch pattern — Cluster 10's low engagement and solid 84.6% merge rate indicate this auto-triage template is working; no changes needed.
Re-enable workflow-log enrichment — this run had no aw_info.json / turn-count data available, so recommendations above are based on PR interaction signals only, not agent iteration counts. Future runs should verify gh-aw logs output is present before Phase 2 to add turn/cost correlation.
Generated by Prompt Clustering Analysis (Run: 39022222178)
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Summary
Analysis Period: Last 30 days (2026-09-17 to 2026-10-17)
Total Tasks Analyzed: 559
Clusters Identified: 10
Overall Success Rate: 84.4% (472 merged / 82 closed / 5 open)
The merge rate has climbed from a low of ~75% in early October back up to 84%, after dipping to 81-82% mid-month.
Full Analysis Report
General Insights
gh-aw logs/aw_info.jsonturn and cost data were not available in this run's sandbox (nogh-awCLI orworkflow-logsdirectory present); this analysis relies on PR-level signals only (comments, reviews, files changed)Cluster Analysis
Cluster 1: Workflow & Agent Run Accounting / Failure Handling
Cluster 2: Repository Checkout & Regression Test Coverage
gh aw logs#59859, Reject NUL bytes in Git paths and consolidate validation tests #60043, Fix Dependabot configuration syntax #60122, Require immutable gh-aw action-mode references #60227, Remove cloud-hypervisor security review warning #60304Cluster 3: PR Sous Chef & AIC Run Automation
Cluster 4: Firewall & Network Blocklist Handling
Cluster 5: Model Routing & Engine Provider Selection
Cluster 6: Engine Version Bumps & CLI Compatibility
openai/provider prefix from Codex model identifiers #60423, Fix Issue Monster’s unsupported Pi model #60461, Improve Copilot organization billing failure guidance #60877, Use default sandbox runtime for Daily Spec Coverage Review #61200Cluster 7: Git-Backed Work Queue & Branch Policy
Cluster 8: Repo-Memory Ledger & Safe-Output Records
Cluster 9: Multi-Target Log Download Limits
gh aw logsconcurrency/count/timeout handling — small diffs, fast consensus.Cluster 10: CI Job Failure Root-Cause Fixes
[WIP]title prefix, and most of them land in this cluster.Success Rate by Cluster
Representative PR Examples by Cluster (5 per cluster)
gh aw logsopenai/provider prefix from Codex model identifiersFull dataset: 559 PRs across 10 clusters; the table above shows 5 representative examples per cluster rather than the complete set, for readability.
Key Findings
[WIP] Fix failing GitHub Actions jobis a distinct, low-touch task template — 18 of 559 PRs (3.2%) carry this auto-generated title pattern, clustering almost entirely into Cluster 10 with the lowest average comments/reviews/files-changed of any cluster — these read as single-purpose CI-triage dispatches rather than open-ended feature work.Lowest-Merge Cluster Root Cause
Recommendations
[WIP] Fix failing GitHub Actions jobdispatch pattern — Cluster 10's low engagement and solid 84.6% merge rate indicate this auto-triage template is working; no changes needed.aw_info.json/ turn-count data available, so recommendations above are based on PR interaction signals only, not agent iteration counts. Future runs should verifygh-aw logsoutput is present before Phase 2 to add turn/cost correlation.Generated by Prompt Clustering Analysis (Run: 39022222178)
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