secret-detection
secret-detection is an Application security skill for AI agents, published by vladkesler in the initrunner repository on GitHub. Skillspace rates secret-detection D (55/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Detect hardcoded secrets, API keys, tokens, and credentials in source code using pattern matching. Covers AWS, GitHub, Slack, Stripe, and generic high-entropy strings.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Needs review
- GitHub stars
- 39
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 76 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Medium-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- 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
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