security-review

security-review is an Application security skill for AI agents, published by UnpaidAttention in the fable5-methodology repository on GitHub. Skillspace rates security-review F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Run a structured vulnerability pass over code — injection, auth/authz gaps, secrets exposure, unsafe deserialization, unvalidated boundary input, SSRF, and stack-specific classes — reporting findings by severity with concrete fixes. Trigger this after writing or modifying code that handles user input, authentication/authorization, database queries, file paths, external requests, deserialization, or secrets; before committing security-sensitive changes; and whenever the user asks for a security review or mentions handling untrusted data. Do NOT trigger for pure-internal logic with no trust boundary, or as a substitute for general code-review — this pass hunts vulnerabilities specifically.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
83

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.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • accesses sensitive system files
  • executes shell/subprocess

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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.