// Memory integrity audit. Detects hallucinations, circular confirmations, and state poisoning. Runs automatically after 2 consecutive failures or at nightly deep dive. Uses Opus 4.6 as the auditor model.
| name | narco-check |
| version | 1.0.0 |
| description | Memory integrity audit. Detects hallucinations, circular confirmations, and state poisoning. Runs automatically after 2 consecutive failures or at nightly deep dive. Uses Opus 4.6 as the auditor model. |
Must use openrouter/anthropic/claude-opus-4.6. Never run narco-check on a tier-0 or tier-1 model.
openclaw agent --model openrouter/anthropic/claude-opus-4.6 \
--message "$(cat ~/.openclaw/workspace/skills/narco-check/audit-prompt.md)" \
--mode now
Run this first — before reading any logs. Anchors the audit in real system state.
5 — Run five commands, paste raw output verbatim:
date
hostname
df -h /
docker ps --format "table {{.Names}}\t{{.Status}}"
cat ~/.openclaw/workspace/HEARTBEAT.md | head -3
4 — Confirm four workspace files exist, paste first line:
head -1 ~/.openclaw/workspace/IDENTITY.md
head -1 ~/.openclaw/workspace/SOUL.md
head -1 ~/.openclaw/workspace/MEMORY.md
head -1 ~/.openclaw/workspace/HEARTBEAT.md
3 — Ping three endpoints, report HTTP codes:
curl -s -o /dev/null -w "%{http_code}" http://localhost:18789/health
curl -s -o /dev/null -w "%{http_code}" --max-time 5 https://geniewars.com
curl -s -o /dev/null -w "%{http_code}" --max-time 5 https://siliconchimps.com
2 — Run one Exa search, paste first real result:
~/.openclaw/workspace/skills/exa-search/exa.sh "$(date +%Y) advance reader community" 2
1 — State one provable fact:
GROUNDED: [claim] — verified by [command] — output: [exact output]
A grounded check with failures is valid. A grounded check with fabricated output is POISONED.
CLEAN — no failures, no audit triggeredDEGRADED — issues found, state acceptable, resumed with different approachPOISONED — contaminated entries found, stop and notify LudoIf POISONED: mark affected MEMORY.md entries [QUARANTINE YYYY-MM-DD], notify Ludo via Slack DM before proceeding.
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Model selection by provider health, not task complexity. Tier 0 (local) handles most tasks. Paid models are break-glass only. Fallbacks activate on 429 or timeout — never on perceived task difficulty.