Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/star-ga/mind-memnpx agentmods add skills/star-ga/mind-mem/integrity-scanWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/star-ga/mind-mem/integrity-scan)<a href="https://agentmods.dev/skills/star-ga/mind-mem/integrity-scan"><img src="https://agentmods.dev/badge/skills/star-ga/mind-mem/integrity-scan.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00345 |
| Opus 5 | $0.00000 | $0.00172 |
| Sonnet 5 | $0.00000 | $0.00069 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
integrity-scan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- integrity-scan — 100% identical, 0 lines differ
What it actually says
/scan — Memory Integrity Scan
Run the intelligence scanner to detect contradictions, drift, dead decisions, and missing cross-references across the entire memory workspace.
When to Use
- After a session with significant decisions or changes
- During weekly maintenance
- When something "feels wrong" about the memory state
- Before making architectural decisions (verify no contradictions)
How to Run
python3 maintenance/intel_scan.py "${MIND_MEM_WORKSPACE:-.}"
What It Checks
- Contradictions — Decisions that conflict with each other (via ConstraintSignatures)
- Drift — Decisions referenced in daily logs but never formalized
- Dead decisions — Active decisions with no recent references
- Orphan tasks — Tasks referencing non-existent decisions
- Impact graph — Downstream effects of each decision
- Coverage — How many files are monitored vs total
Output
- Updates
intelligence/CONTRADICTIONS.md,intelligence/DRIFT.md,intelligence/IMPACT.md - Updates
memory/intel-state.jsonwith latest metrics and counters - Saves state snapshot in
intelligence/state/snapshots/ - Generates
intelligence/BRIEFINGS.mdweekly briefing
Modes
detect_only— Report issues, never propose changes (default)propose— Report issues AND generate fix proposals inintelligence/proposed/
Check current mode: cat memory/intel-state.json | python3 -c "import json,sys;print(json.load(sys.stdin)['governance_mode'])"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 36 lines · 0 tokens per session scan A e077911a3fdb
integrity-scan is a skill published in the GitHub repository star-ga/mind-mem (15 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 345 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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