clawsec-nanoclaw

clawsec-nanoclaw is a skill for Claude Code, Codex from prompt-security/clawsec. It costs 35 tokens per session (2,257 once invoked), scanned B, original, AGPL-3.0.

A security-checking tool for NanoClaw skills, which are add-ons that extend the bot’s behaviour.

In plain words
What is it for?
Use it to review NanoClaw skills for vulnerabilities and check advisories that affect the bot.
Why use it?
It helps identify security problems before you install a new skill or rely on a security advisory.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/node/.claude/skills.

Part of the nano-claw-skills plugin — 2 skills shipped together

Good fit Use it to review NanoClaw skills for vulnerabilities and check advisories that affect the bot.

Compare 6 skills from other repositories ↓
About the project

ClawSec is a collection of security skills and signed advisory data for AI agent runtimes. It helps operators verify skills, detect configuration changes, audit agent environments, and require approval for risky installations across OpenClaw, NanoClaw, Hermes, and Picoclaw. The catalogue entries are ClawSec’s skills, plugins, and instructions for those runtimes.

prompt-security/clawsec · 1,101 stars · on GitHub · prompt.security

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add prompt-security/clawsec
Claude Code
/plugin install nano-claw-skills

Made for: Claude Code, Codex.

Or install nano-claw-skills, the plugin that ships this one along with the rest of its 2 skills.

Wrote 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.

agentmods badge for clawsec-nanoclaw

README.md
[![agentmods](https://agentmods.dev/badge/skills/prompt-security/clawsec/clawsec-nanoclaw/github.svg)](https://agentmods.dev/skills/prompt-security/clawsec/clawsec-nanoclaw)
Your own site
<a href="https://agentmods.dev/skills/prompt-security/clawsec/clawsec-nanoclaw"><img src="https://agentmods.dev/badge/skills/prompt-security/clawsec/clawsec-nanoclaw/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.

agentmods 80×15 button for clawsec-nanoclaw

Your own site · 80×15
<a href="https://agentmods.dev/skills/prompt-security/clawsec/clawsec-nanoclaw"><img src="https://agentmods.dev/badge/skills/prompt-security/clawsec/clawsec-nanoclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,257 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.02257
Opus 5 $0.00017 $0.01128
Sonnet 5 $0.00007 $0.00451
Haiku 4.5 $0.00003 $0.00226

Measured 10d ago against content hash cea564f48fdf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

clawsec-nanoclaw scanned grade B with 2 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 10d ago.

The scan reads SKILL.md. This mod also ships 14 executable files (guardian/integrity-monitor.ts, host-services/advisory-cache.ts, host-services/integrity-handler.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

trap 'rm -rf "$TMP_DIR"' EXIT

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL "$BASE/checksums.json" -o "$TMP_DIR/checksums.json"
skills/clawsec-nanoclaw/SKILL.md · 290 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

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.

  1. 10d ago First seen · 290 lines · 35 tokens per session scan B cea564f48fdf

Subscribe to this mod's changes

clawsec-nanoclaw is a skill published in the GitHub repository prompt-security/clawsec (1,101 stars, last pushed today), licensed AGPL-3.0. It adds 35 tokens to every session and 2,257 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (recursive force delete, 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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