Agent Memory Privacy Check
by LB Creations
Audit AI agent memory files for privacy risk and bloat.
- Scan memory files for leaked API keys, tokens, and personal PII.
- Enforce Hermes-style character budgets to prevent context window saturation.
- Identify and prune stale project data and redundant assistant observations.
Free
Sample input
Analyze my MEMORY.md and USER.md files for privacy risks and bloat. They contain my project logs and personal settings, including a developer key I might have left in there.
Sample output
Status: CONCERN Must Remove:
- API key found in line 14 (sk-proj-...)
- User's home address in USER.md Compress:
- Project 'Alpha' logs from 2023 (800 chars) Suggested Replacement for MEMORY.md: "User prefers Python 3.11 for ML tasks. Currently migrating Project Alpha to FastAPI."
Agent Memory Privacy Check
by LB Creations
Audit AI agent memory files for privacy risk and bloat.
Free
Included in download
- Downloadable skill package
- Works with Codex CLI, Cursor
- Instant install
Sample input
Analyze my MEMORY.md and USER.md files for privacy risks and bloat. They contain my project logs and personal settings, including a developer key I might have left in there.
Sample output
Status: CONCERN Must Remove:
- API key found in line 14 (sk-proj-...)
- User's home address in USER.md Compress:
- Project 'Alpha' logs from 2023 (800 chars) Suggested Replacement for MEMORY.md: "User prefers Python 3.11 for ML tasks. Currently migrating Project Alpha to FastAPI."
Screenshots
About This Skill
A quick privacy check for agent memory
Agent Memory Privacy Check audits durable AI memory files such as SOUL.md, MEMORY.md, USER.md, AGENT.md, USER_PROFILE.md, WORKING_MEMORY.md, HANDOFF.md, and OBSERVATIONS.md.
What it finds
It flags secrets, stale assumptions, unsupported personal claims, raw transcript hoarding, sensitive personal data, and memory bloat that can make an agent less useful or less safe.
Hermes-aware
For Hermes-style memory, it checks the known hot-memory budgets: MEMORY.md at 2,200 characters and USER.md at 1,375 characters.
Trust builder
This free skill is a lightweight audit. It helps users see the value of clean memory before moving to a deeper continuity-curation workflow.
Use Cases
- Scan memory files for leaked API keys, tokens, and personal PII.
- Enforce Hermes-style character budgets to prevent context window saturation.
- Identify and prune stale project data and redundant assistant observations.
- Sanitize agent memory profiles before sharing or selling them.
- Differentiate between durable user preferences and temporary task fluff.
Known Limitations
- Scan is pattern-based; may miss obfuscated secrets.
- Does not automatically rewrite files; provides suggestions only.
- Limited to files under 100k characters for optimal performance.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agent-memory-privacy-check -o /tmp/agent-memory-privacy-check.zip && unzip -o /tmp/agent-memory-privacy-check.zip -d ~/.claude/skills && rm /tmp/agent-memory-privacy-check.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
No runtime dependencies. Works with SKILL.md-compatible agents including Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, and OpenClaw. Do not paste secrets or private personal data unless you intend to have it identified and removed.
Creator
LB designs and builds autonomous AI systems optimized for local deployment. Specializing in distributed inference fleets, multi-model orchestration, and agent-native tooling, everything runs on your hardware, zero API fees.
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