Summary
- Run mode: dry-run
- Status: ⚠️ Skipped —
OPENROUTER_API_KEY not set; suite execution was bypassed
Key Findings
-
SKILL.md lacks validation/test commands — The prompt surface (SKILL.md) describes only compilation and MCP commands but omits mandatory pre-commit checks (make agent-finish, make build, make fmt). Agents using SKILL.md as their primary entry point may skip these gates, causing CI failures.
- Expected impact: Fewer CI failures from agents that rely solely on
SKILL.md for workflow guidance.
-
Benchmark is unreachable because OPENROUTER_API_KEY is never set — The optimizer config targets Claude Sonnet 4.6 via OpenRouter, but the secret is absent from the repo. Every scheduled run exits as a no-op dry-run, so the optimizer never produces benchmark data that would drive real skill improvements.
- Expected impact: Enabling the secret would unlock real pass/fail metrics and allow the optimizer to automatically iterate on
SKILL.md.
-
maxTasks: 20 with maxIterations: 3 may be too conservative for a large skill surface — SKILL.md covers five distinct capability areas (compile, engine config, MCP, safe-outputs, audit). Twenty tasks spread across five areas gives only ~4 tasks per area — too thin to detect regressions reliably.
- Expected impact: More granular benchmark coverage, making it easier to detect skill degradation in specific feature areas.
Evidence from Artifact
summary.json
{
"repository": "github/gh-aw",
"run_mode": "dry-run",
"run_status": 0,
"run_url": "https://github.com/github/gh-aw/actions/runs/25590945527"
}
run.log
dry-run: Docker available but OPENROUTER_API_KEY not set; skipping suite execution
.skill-optimizer/skill-optimizer.json — benchmark config references openrouter/anthropic/claude-sonnet-4.6 and sets maxTasks: 20, maxIterations: 3, perModelFloor: 0.6, targetWeightedAverage: 0.8.
SKILL.md — prompt surface lists four gh aw commands and points to AGENTS.md/skills; it contains no mention of make agent-finish, make build, or make fmt.
Recommendations
-
Add mandatory validation commands to SKILL.md — Append a "Validation" section listing make build && make fmt (Checkpoint 1) and make agent-report-progress (Checkpoint 2) so agents starting from SKILL.md know how to gate their changes before opening a PR.
-
Add OPENROUTER_API_KEY as a repository secret — Without this secret the optimizer can never run in benchmark mode. Add the secret to the repo (or org) and verify the next scheduled run produces a non-empty suite-results/ directory.
-
Increase maxTasks or split into per-area suites — Raise maxTasks to at least 40 in .skill-optimizer/skill-optimizer.json, or create separate benchmark suites for each major capability area (compile, engine, MCP, safe-outputs, audit) to prevent regressions in one area from being diluted by passing tasks in others.
Generated by Daily Skill Optimizer Improvements · ● 3.2M · ◷
Summary
OPENROUTER_API_KEYnot set; suite execution was bypassedKey Findings
SKILL.md lacks validation/test commands — The prompt surface (
SKILL.md) describes only compilation and MCP commands but omits mandatory pre-commit checks (make agent-finish,make build,make fmt). Agents usingSKILL.mdas their primary entry point may skip these gates, causing CI failures.SKILL.mdfor workflow guidance.Benchmark is unreachable because
OPENROUTER_API_KEYis never set — The optimizer config targets Claude Sonnet 4.6 via OpenRouter, but the secret is absent from the repo. Every scheduled run exits as a no-op dry-run, so the optimizer never produces benchmark data that would drive real skill improvements.SKILL.md.maxTasks: 20withmaxIterations: 3may be too conservative for a large skill surface —SKILL.mdcovers five distinct capability areas (compile, engine config, MCP, safe-outputs, audit). Twenty tasks spread across five areas gives only ~4 tasks per area — too thin to detect regressions reliably.Evidence from Artifact
summary.json{ "repository": "github/gh-aw", "run_mode": "dry-run", "run_status": 0, "run_url": "https://github.com/github/gh-aw/actions/runs/25590945527" }run.log.skill-optimizer/skill-optimizer.json— benchmark config referencesopenrouter/anthropic/claude-sonnet-4.6and setsmaxTasks: 20,maxIterations: 3,perModelFloor: 0.6,targetWeightedAverage: 0.8.SKILL.md— prompt surface lists fourgh awcommands and points toAGENTS.md/skills; it contains no mention ofmake agent-finish,make build, ormake fmt.Recommendations
Add mandatory validation commands to
SKILL.md— Append a "Validation" section listingmake build && make fmt(Checkpoint 1) andmake agent-report-progress(Checkpoint 2) so agents starting fromSKILL.mdknow how to gate their changes before opening a PR.Add
OPENROUTER_API_KEYas a repository secret — Without this secret the optimizer can never run in benchmark mode. Add the secret to the repo (or org) and verify the next scheduled run produces a non-emptysuite-results/directory.Increase
maxTasksor split into per-area suites — RaisemaxTasksto at least 40 in.skill-optimizer/skill-optimizer.json, or create separate benchmark suites for each major capability area (compile, engine, MCP, safe-outputs, audit) to prevent regressions in one area from being diluted by passing tasks in others.