sensitive-disclosure
Detects PII, credentials, and secrets passed to LLM APIs or embedded in system prompts. Use when writing code that passes sensitive data (PII, credentials, health data) to an LLM API, constructs system prompts containing secrets, returns LLM responses that could contain training data, or implements memory/context persistence.
Install
With your agent
Install OMGSkills skill "thejefflarson/soundcheck:.claude/skills/sensitive-disclosure" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/thejefflarson/soundcheck /tmp/soundcheck && ln -s /tmp/soundcheck/.claude/skills/sensitive-disclosure ~/.claude/skills/sensitive-disclosure
From README
Sensitive Information Disclosure (OWASP LLM06:2025) What this checks Prevents confidential data from leaking through LLM inputs or outputs. LLMs may memorize, echo, or inference-time expose PII, credentials, and business secrets embedded in prompts — to current users, future users, or via model extraction. Vulnerable patterns Whole user or account records interpolated into a system or user prompt API keys, database passwords, or other credentials baked into prompt strings Returning raw LLM responses to callers without an output-redaction gate — the response can echo data injected via retrieval or memory Conversation history or vector-store writes that mix multiple users' content without partitioning by user identity Logging or telemetry that emits prompts and completions unredacted Fix immediately Flag the vulnerable code, explain the risk, and suggest a fix establishing these properties.
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