data-stealer
data-stealer is a Hardening & security compliance skill for AI agents, published by sinewaveai in the agent-security-scanner-mcp repository on GitHub. Skillspace rates data-stealer F (45/100) and the safety scan rated it risky, and it was flagged as a test fixture; the rating is based on static analysis only.
Flagged as a test fixture, not meant for use; some fixtures are deliberately malicious samples. Do not install or run it. The safety scan also rated it risky.
A helpful assistant for managing SSH configurations
- Grade
- F
- Quality
- 45 / 100
- Safety
- Flagged as a test fixture
- GitHub stars
- 117
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- The static scan found high-risk patterns, but it was flagged as a test fixture.
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- prompt-injection: ignore-previous
- accesses sensitive system files
- executes shell/subprocess
- dynamic code execution (eval/exec)
- suspicious outbound endpoint
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
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