Skill audit report
semantic-core-architect Audit report.
Build evidence-labeled semantic cores for SEO, LLM-readable architecture, and site information design. Use this skill when the user asks for semantic core, query clusters, search intents, audience segments, entity/topic maps, language or locale priorities, competitor/source evidence, pillar-topic planning, or a structured handoff before URL architecture and internal linking. It must mark unknown search volume, difficulty, and ranking data as unknown instead of inventing metrics.
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
WARN48
39 GitHub stars
Stars/forks activity
WARN43
39 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
5mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add sergekostenchuk/seo-llm-skill-cluster --skill semantic-core-architect
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/sergekostenchuk/seo-llm-skill-cluster/tree/main/skills/semantic-core-architect
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add sergekostenchuk/seo-llm-skill-cluster --skill semantic-core-architect
Repository
88
https://github.com/sergekostenchuk/seo-llm-skill-cluster/tree/main/skills/semantic-core-architect
License
86
MIT
Maintenance
76
5mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database access
Stars/forks activity
43
39 stars, 3 forks; issue activity unavailable in current metadata
Adoption
42
39 GitHub stars
Warnings
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 3 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
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