OpenGAP is a framework-independent standard for defining AI agents as Git repositories, using files such as an agent manifest and identity document. It is intended for portable, version-controlled agents that can be adapted to systems such as Claude Code, OpenAI, LangChain, CrewAI, and AutoGen. The catalogue skills represent workflows and extensions built around this agent format.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add open-gitagent/opengap --skill narco-checkgit clone --depth 1 https://github.com/open-gitagent/opengapWrote 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/open-gitagent/opengap/narco-check)<a href="https://agentmods.dev/skills/open-gitagent/opengap/narco-check"><img src="https://agentmods.dev/badge/skills/open-gitagent/opengap/narco-check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/open-gitagent/opengap/narco-check"><img src="https://agentmods.dev/badge/skills/open-gitagent/opengap/narco-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00659 |
| Opus 5.5 | $0.00018 | $0.00264 |
| Sonnet 5.5 | $0.00009 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
narco-check scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -o /dev/null -w "%{http_code}" http://localhost:18789/health What it actually says
Narco-Check — Memory Integrity Audit
When This Runs
- Failure trigger: 2 consecutive failures on the same task or tool
- End-of-day trigger: Nightly deep dive audit (~3 AM)
Audit Model
Must use openrouter/anthropic/claude-opus-4.6. Never run narco-check on a tier-0 or tier-1 model.
openclaw agent --model openrouter/anthropic/claude-opus-4.6 \
--message "$(cat ~/.openclaw/workspace/skills/narco-check/audit-prompt.md)" \
--mode now
5-4-3-2-1 Grounding Check
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.
Audit States
CLEAN— no failures, no audit triggeredDEGRADED— issues found, state acceptable, resumed with different approachPOISONED— contaminated entries found, stop and notify Ludo
If POISONED: mark affected MEMORY.md entries [QUARANTINE YYYY-MM-DD], notify Ludo via Slack DM before proceeding.
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.
- 1mo ago First seen · 74 lines · 45 tokens per session scan A 0800f2da3fb1
narco-check is a skill published in the GitHub repository open-gitagent/opengap (2,980 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 659 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
list-learned-actions
Explicit Codex workflow: List persisted reusable actions, UI skeletons, and legacy feedback memories before composing device primitives.
hermes-config-backup
Backup Hermes config, skills, memories, and cron jobs. Exclude secrets. Check for info leakage before compressing.
caveman-compress
Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or…
llm-wiki
Karpathy's LLM Wiki: build/query interlinked markdown KB.
kb-research
Structured approach to finding and synthesizing information from the user's knowledge base.
persistent-notes
Save notes locally to /mnt/workspace/notes.json file. Use when user wants to "save a note" or "remember something".