Skill audit report
constraint-driven-development Audit report.
Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
91K GitHub stars
Stars/forks activity
PASS100
91K stars, 9.8K forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN44
command execution surface, credential or environment access
Install availability
PASS92
npx skills add addyosmani/agent-skills --skill constraint-driven-development
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/addyosmani/agent-skills/tree/main/skills/constraint-driven-development
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add addyosmani/agent-skills --skill constraint-driven-development
Repository
88
https://github.com/addyosmani/agent-skills/tree/main/skills/constraint-driven-development
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The submitted SKILL.md excerpt is truncated mid-sentence during the interview questions, so the full instructions for Step 2 defaults and remaining process steps are not visible in this review payload.
README/SKILL.md completeness
86
Usable description available
Dependency risk
44
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
100
91K stars, 9.8K forks; issue activity unavailable in current metadata
Adoption
88
91K GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The submitted SKILL.md excerpt is truncated mid-sentence during the interview questions, so the full instructions for Step 2 defaults and remaining process steps are not visible in this review payload.
- No explicit security guidance is present in the excerpt about handling untrusted project files or avoiding accidental execution of malicious scripts when running the test suite or linters.
- The floor-guard reference implementation is truncated at the import statement, making it impossible to fully verify redaction, exit-code handling, and diff-scope logic from the submitted files.
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
Compare nearby options
Related skills to audit next
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
64K Stars · Audit report
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Audit report