SQLCipher Encrypted Database Expert
Expert in SQLCipher encrypted database development with focus on encryption key management, key rotation, secure data handling, and cryptographic best practices
Security
2 findings — 2 high severity. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
Insecure credential handling detected (high risk: 1.00). The prompt contains hardcoded-looking encryption keys in tests and examples and uses direct insertion of key values into PRAGMA/SQL statements (e.g., f"PRAGMA key = {key}"), which requires handling and can lead the model to output secret values verbatim.
W008: Secret detected in skill content (API keys, tokens, passwords)
What this means
Detected sensitive credentials directly embedded within the skill content, such as API keys, access tokens, private keys, or service-specific secrets. Secrets should never be hardcoded in plain text within skill instructions.
Why it was flagged
Secret detected (high risk: 1.00). I found hardcoded encryption keys in the test and example code. Specifically, the Python tests and Rust examples embed literal SQLCipher keys of the form:
- Repository
- martinholovsky/claude-skills-generator
- Commit
1086ef2
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.