Skill audit report
context-fundamentals Audit report.
This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.
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
18K GitHub stars
Stars/forks activity
PASS97
18K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN46
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals
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 muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals
Repository
88
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals
License
86
MIT
Maintenance
88
3mo since push
AI review
55
SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
46
secrets or environment access, filesystem or document access
Stars/forks activity
97
18K stars, 1.5K forks; issue activity unavailable in current metadata
Adoption
88
18K GitHub stars
Warnings
- Permission surface may require sandboxing
- SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.
- The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.
- The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- Permission surface: secrets or environment access, filesystem or document access
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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