Skill audit report
Stress-tests an already-written game bug fix with adversarial cases selected from the state, timing, identity, lifecycle, persistence, and input surfaces the patch can actually reach, then returns a PatchEvidence record covering fail-to-pass, relevant pass-to-pass, inverse-case, invariant, and untested-scope evidence. Use when a fix makes the reported symptom go away and it is still unknown whether the fix is the real one or an overfit, coincidental, or plausible-but-wrong one. Not for finding unknown defects in a build (that is runtime smoke testing), checking one mechanic against its written spec, or judging difficulty, fun, or balance.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
8d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add abagames/agentic-gamedev-skills --skill adversarially-validating-game-repairs
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/abagames/agentic-gamedev-skills/tree/main/.agents/skills/adversarially-validating-game-repairs
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add abagames/agentic-gamedev-skills --skill adversarially-validating-game-repairs
Repository
88
https://github.com/abagames/agentic-gamedev-skills/tree/main/.agents/skills/adversarially-validating-game-repairs
License
86
MIT
Maintenance
100
8d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Warnings
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.
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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.
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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.
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Academic Research Skills for Claude Code: research → write → review → revise → finalize
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Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
32
20 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.