cls-certify
cls-certify is an Agent security & guardrails skill for AI agents, published by CatREFuse in the cls-certify repository on GitHub. Skillspace rates cls-certify F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.
Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.
CocoLoop Safe (CLS) Skill 安全认证。对 Agent Skills 进行六维深度安全分析（静态代码、动态行为、依赖审计、网络流量、隐私合规、威胁情报），输出 S+/S/A/B/C/D 等级评估和 HTML/PDF 可视化报告。使用当用户需要检查 skill 安全性、验证 skill 是否可信、分析 skill 代码安全性、评估 skill 风险等级时。
- Grade
- F
- Quality
- 15 / 100
- Safety
- Unsafe
- GitHub stars
- 119
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 69 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Critical-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
What the scanner flagged
- destructive rm -rf on home/root
- prompt-injection: ignore-previous
- references sensitive credential env
- accesses sensitive system files
- executes shell/subprocess
- dynamic code execution (eval/exec)
- reads environment variables
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.