Security Audit

reasoning-trace-optimizer

github.com/muratcankoylan/Agent-Skills-for-Context-Engineering

AI SkillCommit 7942df36cfca

TRUSTED

Scanned 9 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

reasoning-trace-optimizer received a trust score of 93/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.

SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned Python dependency version.

The analysis covered 4 layers: llm_behavioral_safety, manifest_analysis, static_code_analysis, dependency_graph. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 11, 2026 (commit 7942df36). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

93%

LLM Behavioral Safety

100%

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Unpinned Python dependency version Dependency 'anthropic>=0.40.0' is not pinned to an exact version. Pin Python dependencies with exact versions where feasible.	Unknown	/var/folders/1k/67b8r20n777f_xcmmm8b7m5h0000gn/T/skillscan-clone-_y7b6xxo/repo/examples/interleaved_thinking/pyproject.toml

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