Caveat verdict

JWT Auth Audit

phy-jwt-auth-audit

88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.

Accesses credentials AND encodes data

Decodes JWTs locally without verification, scans source for insecure token handling patterns, and audits .env files for hardcoded tokens; credential_access is used for the stated security audit purpose with no exfiltration.

Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

0
security
50
transparency
70
maintenance

What it does

These are capability combinations: each listed behavior occurs in the skill, but Caveat detects co-occurrence — it does not verify that one flows into another. Read the code to confirm a live chain.

Capability combination high

Accesses credentials AND encodes data — may obfuscate stolen credentials

LLM02 · ASI03 · ASI04

Permission integrity

Code accesses API keys/tokens but declares no environment variables

credential_access

Findings (5)

Pattern match high

Possible hardcoded credential

SKILL.md · prose · downgraded · SECRET = 'mysecret

Pattern match medium

Base64 encoding/decoding

SKILL.md · code · base64-encode

Pattern match medium

Popular HTTP library — network access

SKILL.md · code · got

Pattern match medium

Accesses sensitive environment variables

SKILL.md · code · process.env.JWT_SECRET

Pattern match medium

Python os.getenv — reads environment variable

SKILL.md · code · os.getenv(

Permissions & capabilities

No declared permissions — minimal attack surface.

data_encodingnetwork_incredential_accessdir_traversal
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