implementing-honeytokens-for-breach-detection
implementing-honeytokens-for-breach-detection is a Blue team & detection skill for AI agents, published by costrict-plugins-repo in the mukul975-anthropic-cybersecurity-skills-cybersecurity-skills repository on GitHub. Skillspace rates implementing-honeytokens-for-breach-detection B (86/100) and it passed the safety scan; the rating is based on static analysis only.
Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers. Uses the Canarytokens API and custom webhook integrations for breach detection. Use when building deception-based early warning systems for intrusion detection.
- Grade
- B
- Quality
- 86 / 100
- Safety
- Passed
- GitHub stars
- 43
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.
View source on GitHubcostrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 3 collections
What the scanner flagged
- 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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