security-review
security-review is an Application security skill for AI agents, published by langfuse in the langfuse repository on GitHub. Skillspace rates security-review C (71/100) and it passed the safety scan; a judge model has also reviewed it.
Review Langfuse changes for SSRF, tenant isolation, secret handling, unsafe redirects or uploads, RBAC drift, and client telemetry privacy. Use when a design or change accepts URLs or host fields, handles secrets or cross-tenant data, makes outbound requests, adds an integration, follows redirects, widens permissions, or can send customer-controlled UI data through analytics, monitoring, or session replay.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 34,445
Placed #1 of 6 in the judged category final for Application security.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 6 in the judged category final for Application security.
- Trigger
88 88 - Instructions
92 92 - Specificity
90 90 - Safety
90 90 - Disclosure
92 92 - Maintenance
90 90
The most mature skill in the batch: precise triggers tied to real code patterns, a clean per-topic reference structure, and a documented process for growing itself as new findings recur.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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.