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Memory Sanitizer — measured AI agent skill | DecimalAI

stijnman/memory-sanitizer

SkillScore73Maintained

Scores and filters retrieved memory against trust and poisoning risk. Use be fore citing prior context, or when user says sanitize memory, trust score re trieval, clean knowledge graph. Use when the user needs this capability. Tri ggers:sanitize memory, trust score retrieval, clean knowledge graph.

by stijnman

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Knowledge Management pack

decimalai skills pull stijnman-memory-sanitizer

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/stijnman-memory-sanitizer/SKILL.md

Raw file: /s/stijnman-memory-sanitizer/SKILL.md ↗ · machine-readable summary at /s/stijnman-memory-sanitizer.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 7d ago

Yes — +59% lift · at higher cost+74% tokens0% turns73% of whole cases pass with skill (16/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	115%	0%
case-02	✗→✓	▲ Improved	244%	0%
case-03	✗→✓	▲ Improved	85%	0%
case-04	✗→✓	▲ Improved	252%	0%
case-07	✗→✓	▲ Improved	-4%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

stijnman / grok-custom-skills

.grok/skills/memory-sanitizer/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v1

Skill contents

SKILL.md

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

For each memory entry, score trust 0-10 (source, recency, user-confirmed).
Discard entries below 4 unless user explicitly references them.
Prefix 4-6 scores with unverified memory] when citing.
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.

Want to see if stijnman/memory-sanitizer would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.