# Memory Sanitizer

> Scores and filters retrieved memory against trust and poisoning risk. Use for: sanitize memory, trust score retrieval, clean knowledge graph, `semantic-memory-manager`.

- Skill: `stijnman/memory-sanitizer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add stijnman/memory-sanitizer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/stijnman/memory-sanitizer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: Stijnman (https://skillmd.com/u/stijnman)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/stijnman/memory-sanitizer

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# Memory Sanitizer
## When to Use

- User says **sanitize memory** or task matches this capability
- User says **trust score retrieval** or task matches this capability
- User says **clean knowledge graph** or task matches this capability

## Workflow

1. For each memory entry, score trust 0-10 (source, recency, user-confirmed).
2. Discard entries below 4 unless user explicitly references them.
3. Prefix 4-6 scores with [unverified memory] when citing.
4. Flag contradictions between entries; prefer user-confirmed.

## Integrations

- `semantic-memory-manager`
- `knowledge-graph-builder`
- `agentic-uncertainty-quantifier`

## Error Handling

| Failure | Response |
|---------|----------|
| All entries low trust | Ask user to confirm facts before proceeding. |
| Contradictory memories | Present both; ask user to resolve. |

## Gotchas

- Delegate retrieval to semantic-memory-manager when installed.

## Example

**Input:** User request matching triggers above.
**Output:** Structured result per workflow with integrations invoked as needed.