Install
$ agentstack add skill-benmarte-autoimprove-measure ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Measure Skill
Run the project's quality measurement suite and report the composite score.
Steps
- Read
.claude/autoimprove/config.md. If it doesn't exist, say: "Run /autoimprove:setup first."
- Run each command defined in the config's measurement sections, in order:
- Type check / compile
- Build
- Tests
- Lint
- Parse results using the error patterns and success patterns defined in the config.
- Calculate composite score using the weights in the config.
- Report:
📊 Codebase Quality Score: XX/100
[Type check label]: X errors → XX/40 pts
[Build label]: ✅/❌ → XX/20 pts
[Test label]: X/X pass → XX/30 pts
[Lint label]: X errors → XX/10 pts
💡 Lowest area: [label] — [one specific actionable suggestion]
- If any command fails unexpectedly (not just returns errors but actually crashes), report the raw output so the user can debug their tooling.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: benmarte
- Source: benmarte/autoimprove
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.