Skill audit report
context-optimization Audit report.
This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.
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
INFO72
credential or environment access
Install availability
PASS92
npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-optimization
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization
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-optimization
Repository
88
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization
License
86
MIT
Maintenance
88
3mo since push
AI review
55
The SKILL.md excerpt is incomplete at the end, so the full masking rules and edge cases are not fully visible in the provided snippet.
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
60
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
- The SKILL.md excerpt is incomplete at the end, so the full masking rules and edge cases are not fully visible in the provided snippet.
- The Python utilities use heuristic token estimation and simple summarization; the code itself notes that production systems should use model-specific tokenizers and LLM-based summarization.
- The skill does not explicitly address handling untrusted or adversarial content inside tool outputs during masking or compaction, though the stated rules mitigate some risk.
- 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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