NanoClaw is an AI assistant that runs agents inside separate Linux containers, isolating their files and execution environments. People use it to connect agents to messaging services and run assistants with memory and scheduled jobs. The catalogue contains skills and instructions for extending or operating NanoClaw.
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 nanocoai/nanoclaw --skill add-karpathy-llm-wikigit clone --depth 1 https://github.com/nanocoai/nanoclawWrote 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/nanocoai/nanoclaw/add-karpathy-llm-wiki)<a href="https://agentmods.dev/skills/nanocoai/nanoclaw/add-karpathy-llm-wiki"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/add-karpathy-llm-wiki/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/nanocoai/nanoclaw/add-karpathy-llm-wiki"><img src="https://agentmods.dev/badge/skills/nanocoai/nanoclaw/add-karpathy-llm-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 73 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Agent Snooping · line 42 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 44 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00056 | $0.01253 |
| Opus 5 | $0.00028 | $0.00626 |
| Sonnet 5 | $0.00011 | $0.00251 |
| Haiku 4.5 | $0.00006 | $0.00125 |
Grade A, and why
add-karpathy-llm-wiki 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 12d 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 -sLo sources/filename.pdf "<url>" Copies of this mod
3 near-identical copies found in the catalogue:
- add-karpathy-llm-wiki — 86% identical, 19 lines differ
- add-karpathy-llm-wiki — 86% identical, 55 lines differ
- add-karpathy-llm-wiki — 86% identical, 57 lines differ
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Karpathy LLM Wiki
Set up a persistent wiki knowledge base on NanoClaw, based on Karpathy's LLM Wiki pattern.
Each step is safe to re-run: directory creation uses mkdir -p, initial wiki files are created only if absent, the container skill is preserved unless the user opts to update it, and the group CLAUDE.md section is replaced in place via marker comments rather than duplicated.
Step 1: Read the pattern
Read ${CLAUDE_SKILL_DIR}/llm-wiki.md — this is the full LLM Wiki idea as written by Karpathy. Understand it thoroughly before proceeding. Summarize the core idea to the user briefly, then discuss what they want to build.
Step 2: Choose a group
AskUserQuestion: "Which group should have the wiki?"
- Main group — add to your existing main chat
- Dedicated group — create a new group just for the wiki
- Other — pick an existing group
If dedicated: ask which channel and chat, then register with pnpm exec tsx setup/index.ts --step register.
Step 3: Design collaboratively
Discuss with the user based on the pattern:
- What's the wiki's domain or topic?
- What kinds of sources will they add? (URLs, PDFs, images, voice notes, books, transcripts)
- Do they want the full three-layer architecture or a lighter version?
- Any specific conventions they care about? (The pattern intentionally leaves this open.)
Based on this discussion, create three things:
3a. Directory structure
Create wiki/ and sources/ directories in the group folder (mkdir -p — safe if they already exist). Create initial index.md and log.md per the pattern's Indexing and Logging section, adapted to the user's domain. Skip any of these files that already exist so a populated wiki is never clobbered on re-run.
3b. Container skill
Create container/skills/wiki/SKILL.md tailored to this user's wiki. This is the schema layer from the pattern — it tells the agent how to maintain the wiki. Base it on the pattern's Operations section (ingest, query, lint) and the conventions you agreed on with the user. Don't over-prescribe — the pattern says "your LLM figures out the rest."
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 100 lines · 56 tokens per session scan A 74bf5ab46f95
add-karpathy-llm-wiki is a skill published in the GitHub repository nanocoai/nanoclaw (30,745 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 1,253 once invoked, about $0.0003 per session on Opus 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.
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