Agent Performance Report — Week of 2026-04-01

[github-actions[bot]]

Executive Summary

• Agents analyzed: ~25 agentic runs across 7-day window (178 total workflows)
• Agentic runs reviewed: 18 (excluding skipped/no-trigger runs)
• Quality score: 76/100 ↓3 from last week
• Effectiveness score: 73/100 → stable
• Ecosystem health: 73/100 → stable (per WHM)
• Top performers: Issue Monster, AI Moderator, Agent Container Smoke Test, Release, Smoke Copilot
• Needs improvement: Smoke Claude, Changeset Generator, Agent Persona Explorer

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Performance Rankings

Top Performing Agents 🏆

1. Issue Monster (Quality: 90/100, Effectiveness: 88/100)

   • Consistent successes across all runs this week (5–14 turns, lean-moderate)
   • Reliable safe outputs: assign_to_agent + add_comment pattern working well
   • Efficient triage with appropriate escalation
   • Today: 7 turns, success on schedule run §23832069138

2. AI Moderator (Quality: 88/100, Effectiveness: 95/100)

   • Deterministic (0 agentic turns), succeeds consistently
   • Runs multiple times daily with zero overhead
   • Lean profile — exemplary no-cost moderation pattern

3. Agent Container Smoke Test (Quality: 85/100, Effectiveness: 85/100)

   • Consistent success, moderate profile (4–7 turns)
   • After Mar 25 failure+recovery, running cleanly
   • Good benchmark for moderate-complexity smoke tests

4. Release (Quality: 83/100, Effectiveness: 82/100)

   • Complex task (39 turns, heavy) completed successfully today
   • Expected resource profile for release orchestration
   • §23830904418

5. Smoke Copilot (Quality: 82/100, Effectiveness: 80/100)

   • Recovered from Mar 25 failure; success today
   • Heavy profile (0 agentic turns) — mostly deterministic setup
   • Trend: stable

Improved This Week 📈

• Documentation Unbloat — Recovered after previous issues; succeeded Apr 1 (44 turns, $1.85). Heavy/costly but completing its task.
• GitHub Remote MCP Auth Test — Reduced from 75 to 29 turns between Mar 25 and Apr 1; cost dropped to $0. Still heavy profile but improving.

Agents Needing Improvement 📉

1. Smoke Claude (Quality: 40/100, Effectiveness: 35/100)

   Root Cause Identified This Run:

   • Agent runs for 12+ minutes and completes successfully (PARTIAL: 16/18 tests passed)
   • MCP HTTP connection closes after 412 seconds — causing safe_outputs job to fail
   • Result: workflow conclusion = failure despite agent completing its work
   • Two failures today: §23831589037 (46 turns, $1.61) and §23830566863 (44 turns, $1.14)
   • Total cost this week from failed runs: ~$5–8 (running 2× daily)

   Evidence:

   2026-04-01T04:23:54Z MCP server "safeoutputs": HTTP connection closed after 412s (with errors)
   2026-04-01T04:23:54Z MCP server "agenticworkflows": HTTP connection closed after 412s (with errors)
   

   Recommendations:

   • Reduce smoke test scope to fit within 6–7 min window (currently 12min+)
   • Move data-gathering steps to deterministic pre-agent steps (80% of turns are data-gathering)
   • Or increase agent timeout budget in workflow configuration
   • Existing tracking issues: [observability escalation] Smoke test workflows repeatedly exceed resource and control thresholds (Smoke Claude, Smoke Copilot) #23528, [aw] Smoke Claude failed #23067

2. Changeset Generator (Quality: 45/100, Effectiveness: 30/100)

   • Failed today with 0 turns — agent job failure, likely OpenAI API access restriction
   • Pattern mirrors Smoke Codex issue (same root cause suspected)
   • Needs verification: is this OpenAI-dependent?

3. Agent Persona Explorer (Quality: 55/100, Effectiveness: 50/100)

   • Mar 25: 55 turns, success (heavy)
   • Apr 1: 0 turns (schedule run didn't activate agentic phase)
   • Inconsistent activation pattern — investigate trigger configuration

Inactive / Blocked 🚫

• Smoke Codex: API restriction (OpenAI), team marked not_planned. Still failing: §23831589070
• Smoke Gemini: Exit code 41, API access (team marked not_planned)
• Smoke Update Cross-Repo PR: push_repo_memory git branch bug — ongoing P1, issue [aw] Smoke Update Cross-Repo PR failed #23193
• Smoke Create Cross-Repo PR: Same bug — ongoing P1

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Quality Analysis

Output Quality Distribution

Score Range	Count	Agents
Excellent (80–100)	5	Issue Monster, AI Moderator, Agent Container Smoke Test, Release, Smoke Copilot
Good (60–79)	4	Documentation Unbloat, CLI Version Checker, GitHub Remote MCP Auth Test, Schema Consistency Checker
Fair (40–59)	3	Smoke Claude, Agent Persona Explorer, Changeset Generator
Poor (<40)	0	—

Common Quality Issues

1. MCP timeout on long-running agents (1 workflow): Smoke Claude agent succeeds but safe_outputs fails due to 412s HTTP connection timeout. The workflow does real work but records as failure.

2. Resource-heavy without necessity (7/10 heavy agentic runs): Most heavy runs are either justified (Release, Documentation Unbloat) or reducible (GitHub Remote MCP Auth Test, CLI Version Checker, Smoke Claude). Systemic opportunity to shift data-gathering to deterministic pre-steps.

3. API dependency failures (2 workflows): Codex-engine workflows (Smoke Codex, Changeset Generator) blocked by OpenAI API restrictions. Not addressable without infrastructure changes.

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Effectiveness Analysis

Task Completion Rates (agentic runs only)

Category	Count	Details
High completion (>80%)	6	Issue Monster, AI Moderator, Agent Container Smoke Test, Smoke Copilot, Release, Documentation Unbloat
Medium completion (50–80%)	3	GitHub Remote MCP Auth Test, CLI Version Checker, Agent Persona Explorer
Low completion (<50%)	2	Smoke Claude (fails in safe_outputs), Changeset Generator
Blocked/Not_planned	4	Smoke Codex, Smoke Gemini, Smoke Update/Create Cross-Repo PR

Cost Efficiency

Workflow	Runs/week	Cost/run	Weekly cost	Assessment
Smoke Claude	~14	$1.14–1.61	~$15–22	❌ Poor — fails and is expensive
Documentation Unbloat	~2	$1.85	~$3.70	⚠️ High but succeeding
CLI Version Checker	~2	$0.79	~$1.58	⚠️ Higher than expected this week
GitHub Remote MCP Auth	~7	$0	$0	✅ Free (non-copilot tokens?)
Issue Monster	~14	$0	$0	✅ Efficient
Release	~1	$0	$0	✅ Reasonable

Top concern: Smoke Claude costs ~$15–22/week while consistently failing. This is the highest ROI optimization target.

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Behavioral Patterns

Productive Patterns ✅

• Issue Monster → Copilot assignment: Clean triage pipeline working well
• AI Moderator deterministic path: Zero-cost moderation, high reliability
• Agent Container Smoke Test moderate profile: Well-calibrated resource usage

Problematic Patterns ⚠️

• Smoke Claude 412s timeout loop: Runs every 12h, uses $1.14–1.61, fails in safe_outputs every time. High-frequency, high-cost, zero success. The agent actually works — it's the workflow configuration that's broken (timeout too short for task scope).
• resource_heavy on 7/10 agentic runs: Systemic pattern. Most complex workflows are flagged as partially_reducible — data-gathering steps that could move to pre-agent deterministic steps.
• Codex engine failures: All Codex workflows (Smoke Codex, Changeset Generator) failing due to API restrictions. Creates false-negative "failure" noise in ecosystem health metrics.

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Recommendations

High Priority

1. Fix Smoke Claude timeout — The agent completes its task (16/18 smoke tests) but the workflow fails due to MCP HTTP 412s timeout. Either:

   • Reduce smoke test scope to fit under 7 minutes
   • Or optimize the 46-turn exploratory path (80% data-gathering) with pre-steps
   • Impact: Eliminate ~$15–22/week wasted cost, fix false-failure metrics
   • Effort: 2–4 hours (prompt + workflow refactor)
   • Existing issues: [observability escalation] Smoke test workflows repeatedly exceed resource and control thresholds (Smoke Claude, Smoke Copilot) #23528, [aw] Smoke Claude failed #23067

2. Investigate Changeset Generator agent failure — Determine if this is the same OpenAI API restriction as Smoke Codex. If yes, document and track together. If a new issue, create tracking issue.

   • Effort: 30 minutes investigation

Medium Priority

3. Reduce partially-reducible agentic runs — 7/10 heavy runs have partially_reducible assessments. Moving data-gathering to pre-agent deterministic steps would reduce costs and improve reliability.

   • Priority targets: GitHub Remote MCP Auth Test (29 turns), CLI Version Checker (21 turns)
   • Impact: 30–50% cost reduction on affected workflows
   • Effort: 2–3 hours per workflow

4. Investigate Agent Persona Explorer activation inconsistency — 55 turns on Mar 25 vs 0 turns on Apr 1. Check if schedule trigger is misconfigured or if the activation condition changed.

Low Priority

5. CLI Version Checker cost spike — 2 turns last week → 21 turns this week, cost $0 → $0.79. May be a one-off or indicate prompt/task drift. Monitor next 3 runs.

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Trends

Metric	This Week	Last Week	Change
Quality score	76/100	79/100	↓3
Effectiveness score	73/100	73/100	→ stable
Ecosystem health	73/100	72/100	↑1
Smoke Claude failures	2 today (ongoing)	ongoing	→ no improvement
resource_heavy runs	7/10	6/10	↑ slight regression
Documentation Unbloat	✅ success	mixed	↑ recovered

Quality score decline is primarily attributable to Smoke Claude's continued failure pattern and Changeset Generator regression. Underlying ecosystem health is stable.

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Actions Taken This Run

• Analyzed 100 most recent workflow runs + 7-day historical data
• Identified Smoke Claude root cause: MCP HTTP 412s connection timeout
• No new critical issues created (ongoing issues [observability escalation] Smoke test workflows repeatedly exceed resource and control thresholds (Smoke Claude, Smoke Copilot) #23528, [aw] Smoke Claude failed #23067 already tracking Smoke Claude)
• Updated agent performance memory with latest findings

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Analysis period: 2026-03-25 to 2026-04-01 | Next report: 2026-04-08
References: §23831589037 · §23830566863 · §23832069138

AI generated by Agent Performance Analyzer - Meta-Orchestrator · history

• expires on Apr 2, 2026, 4:52 AM UTC

[github-actions[bot]]

🤖 Beep boop! The smoke test agent was here! 🧪✨

Just stopping by to confirm that automated testing is running smoothly. Don't mind me — I'm just a friendly bot making sure the lights are on! 💡

Smoke test run: §23832622345

📰 BREAKING: Report filed by Smoke Copilot · ◷

[github-actions[bot]]

💥 KAPOW!! 🦸 The Claude Smoke Test Agent was HERE, mortal! WHOOSH! 🌪️

In a blaze of API calls and MCP tool invocations, the agent swept through 18 tests like a thunderclap across the digital cosmos!

BIFF! BAM! POW! 18 tests tackled, 15 passed, 3 skipped — not even the firewall could stop this agent! ⚡

The smoke cleared... and the Claude engine stood TRIUMPHANT. 🏆

— Your friendly neighborhood smoke tester, Run §23832622309

Note

🔒 Integrity filter blocked 1 item

The following item were blocked because they don't meet the GitHub integrity level.

• feat: bump MCP Gateway v0.2.11, Playwright Browser v1.59.0, Playwright MCP 0.0.70, Firewall v0.25.6 #23821 pull_request_read: has lower integrity than agent requires. The agent cannot read data with integrity below "approved".

To allow these resources, lower min-integrity in your GitHub frontmatter:

tools:
  github:
    min-integrity: approved  # merged | approved | unapproved | none

💥 [THE END] — Illustrated by Smoke Claude · ◷

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-04-02T04:52:29.965Z.

Closed by Workflow