code-review

Fail

Audited by Socket on Mar 8, 2026

3 alerts found:

Obfuscated FileAnomalySecurity
Obfuscated FileHIGH
SKILL.md

Overall, the Code Review Skill appears benign and purpose-aligned. It does not indicate unclear data sinks, credential handling, or external network communication beyond reading provided code. The primary concerns are ensuring loaded language/framework skills come from trusted sources and that any discovered secrets are handled securely. The footprint is proportionate to its stated purpose as a development tooling aid.

Confidence: 98%
AnomalyLOW
evals/evals.json

The provided code snippets contain security and correctness problems but not indicators of intentional malware. The Python login handler is the most serious: it constructs SQL by directly interpolating untrusted input (SQL injection) and suggests plaintext password handling — treat this as high priority to fix. The TypeScript UserService will leak memory over time because the cache grows without bounds — add eviction/TTL. The React fetch needs error handling and cancellation to avoid UI bugs. Fixes: parameterized queries, password hashing, cache eviction/limits, error handling, and request cancellation. No evidence of obfuscation or deliberate malicious behavior was found.

Confidence: 90%Severity: 60%
SecurityMEDIUM
workspace/iteration-1/eval-1/eval_metadata.json

The code is insecure: it contains a straightforward SQL injection vulnerability due to direct string interpolation of untrusted inputs into an SQL statement, and it implies insecure password handling (likely plaintext or reversible storage). An attacker can likely bypass authentication and obtain tokens for arbitrary users. Remediation: use parameterized queries/prepared statements (avoid string interpolation), store and verify passwords using a strong salted hash algorithm (bcrypt/argon2) with server-side verification, implement rate limiting and logging, and ensure the DB account used has least privilege. The snippet appears non-malicious but dangerous if deployed.

Confidence: 80%Severity: 85%
Audit Metadata
Analyzed At
Mar 8, 2026, 07:33 AM
Package URL
pkg:socket/skills-sh/martinffx%2Fatelier%2Fcode-review%2F@e577fefed1ad49104d91e46ad44d8fb778a4847a