burn-after-login
burn-after-login is an Auth & identity skill for AI agents, published by pbakaus in the burn-after-login repository on GitHub. Skillspace rates burn-after-login C (72/100) 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.
Create dev-only auth shortcuts so AI browser automation agents can authenticate instantly. Analyzes your auth system, creates guarded endpoints/scripts, detects your browser automation tools, and updates agent instructions. Use when setting up dev authentication for browser automation, or when agents struggle with login forms. Self-destructs after completion.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Needs review
- GitHub stars
- 38
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, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Medium-risk patterns
- License
- MIT
- 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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