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Clawsec Nanoclaw

OrganizationPopular
prompt-security
clawsec-nanoclaw

Use when checking for security vulnerabilities in NanoClaw skills, before installing new skills, or when asked about security advisories affecting the bot

Overview

Publisherprompt-security
Repositoryclawsec
Skill nameclawsec-nanoclaw
Stars
1.1K
Forks
112
Bundled files
21
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 21 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by prompt-security on GitHub. Read the source before you install it.

Installation

Install the Clawsec Nanoclaw AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/prompt-security/clawsec/tree/main/skills/clawsec-nanoclaw
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/prompt-security/clawsec.git /tmp/clawsec
mkdir -p .claude/skills
cp -r /tmp/clawsec/skills/clawsec-nanoclaw .claude/skills/clawsec-nanoclaw
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clawsec Nanoclaw in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clawsec Nanoclaw on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clawsec Nanoclaw is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ClawSec for NanoClaw

Security advisory monitoring that protects your WhatsApp bot from known vulnerabilities in skills and dependencies.

Vercel Skills Installation

Install with the Vercel Skills CLI for this harness:

bash
npx skills add prompt-security/clawsec --skill clawsec-nanoclaw -a openclaw -y

Overview

ClawSec provides MCP tools that check installed skills against a curated feed of security advisories. It prevents installation of vulnerable skills, includes exploitability context for triage, and alerts you to issues in existing ones.

Core principle: Check before you install. Monitor what's running.

When to Use

Use ClawSec tools when:

  • Installing a new skill (check safety first)
  • User asks "are my skills secure?"
  • Investigating suspicious behavior
  • Regular security audits
  • After receiving security notifications

Do NOT use for:

  • Code review (use other tools)
  • Performance issues (different concern)
  • General debugging

MCP Tools Available

Pre-Installation Check

typescript
// Before installing any skill
const safety = await tools.clawsec_check_skill_safety({
  skillName: 'new-skill',
  skillVersion: '1.0.0'  // optional
});

if (!safety.safe) {
  // Show user the risks before proceeding
  console.warn(`Security issues: ${safety.advisories.map(a => a.id)}`);
}

Security Audit

typescript
// Check all installed skills (defaults to ~/.claude/skills in the container)
const result = await tools.clawsec_check_advisories({
  installRoot: '/home/node/.claude/skills'  // optional
});

if (result.matches.some((m) =>
  m.advisory.severity === 'critical' || m.advisory.exploitability_score === 'high'
)) {
  // Alert user immediately
  console.error('Urgent advisories found!');
}

Browse Advisories

typescript
// List advisories with filters
const advisories = await tools.clawsec_list_advisories({
  severity: 'high',               // optional
  exploitabilityScore: 'high'     // optional
});

Quick Reference

TaskToolKey Parameter
Pre-install checkclawsec_check_skill_safetyskillName
Audit all skillsclawsec_check_advisoriesinstallRoot (optional)
Browse feedclawsec_list_advisoriesseverity, type, exploitabilityScore (optional)
Verify package signatureclawsec_verify_skill_packagepackagePath
Refresh advisory cacheclawsec_refresh_cache(none)
Check file integrityclawsec_check_integritymode, autoRestore (optional)
Approve file changeclawsec_approve_changepath
View baseline statusclawsec_integrity_statuspath (optional)
Verify audit logclawsec_verify_audit(none)

Common Patterns

Pattern 1: Safe Skill Installation

typescript
// ALWAYS check before installing
const safety = await tools.clawsec_check_skill_safety({
  skillName: userRequestedSkill
});

if (safety.safe) {
  // Proceed with installation
  await installSkill(userRequestedSkill);
} else {
  // Show user the risks and get confirmation
  await showSecurityWarning(safety.advisories);
  if (await getUserConfirmation()) {
    await installSkill(userRequestedSkill);
  }
}

Pattern 2: Periodic Security Check

typescript
// Add to scheduled tasks
schedule_task({
  prompt: "Check advisories using clawsec_check_advisories and alert when critical or high-exploitability matches appear",
  schedule_type: "cron",
  schedule_value: "0 9 * * *"  // Daily at 9am
});

Pattern 3: User Security Query

User: "Are my skills secure?"

You: I'll check installed skills for known vulnerabilities.
[Use clawsec_check_advisories]

Response:
✅ No urgent issues found.
- 2 low-severity/low-exploitability advisories
- All skills up to date

Common Mistakes

❌ Installing without checking

typescript
// DON'T
await installSkill('untrusted-skill');
typescript
// DO
const safety = await tools.clawsec_check_skill_safety({
  skillName: 'untrusted-skill'
});
if (safety.safe) await installSkill('untrusted-skill');

❌ Ignoring exploitability context

typescript
// DON'T: Use severity only
if (advisory.severity === 'high') {
  notifyNow(advisory);
}
typescript
// DO: Use exploitability + severity
if (
  advisory.exploitability_score === 'high' ||
  advisory.severity === 'critical'
) {
  notifyNow(advisory);
}

❌ Skipping critical severity

typescript
// DON'T: Ignore high exploitability in medium severity advisories
if (advisory.severity === 'critical') alert();
typescript
// DO: Prioritize exploitability and severity together
if (advisory.exploitability_score === 'high' || advisory.severity === 'critical') {
  // Alert immediately
}

Implementation Details

Feed Source: https://clawsec.prompt.security/advisories/feed.json

This signed feed is consolidated. NanoClaw receives NVD CVEs, approved community advisories, and provisional GHSA-without-CVE advisories through the same default URL.

Update Frequency: Every 6 hours (automatic)

Signature Verification: Ed25519 signed feeds Package Verification Policy: pinned key only, bounded package/signature paths

Cache Location: /workspace/project/data/clawsec-advisory-cache.json

See INSTALL.md for setup and docs/ for advanced usage.

Real-World Impact

  • Prevents installation of skills with known RCE vulnerabilities
  • Alerts to supply chain attacks in dependencies
  • Provides actionable remediation steps
  • Zero false positives (curated feed only)

Release Artifact Verification

For standalone installs, verify the signed release manifest before trusting SKILL.md, skill.json, or the archive. The skill.json file is the package metadata/SBOM source, and the release pipeline signs checksums.json with the ClawSec release key.

bash
set -euo pipefail

SKILL_NAME="clawsec-nanoclaw"
VERSION="0.0.10"
REPO="prompt-security/clawsec"
TAG="${SKILL_NAME}-v${VERSION}"
BASE="https://github.com/${REPO}/releases/download/${TAG}"
ZIP_NAME="${SKILL_NAME}-v${VERSION}.zip"
TMP_DIR="$(mktemp -d)"
trap 'rm -rf "$TMP_DIR"' EXIT

RELEASE_PUBKEY_SHA256="711424e4535f84093fefb024cd1ca4ec87439e53907b305b79a631d5befba9c8"

curl -fsSL "$BASE/checksums.json" -o "$TMP_DIR/checksums.json"
curl -fsSL "$BASE/checksums.sig" -o "$TMP_DIR/checksums.sig"
curl -fsSL "$BASE/signing-public.pem" -o "$TMP_DIR/signing-public.pem"
curl -fsSL "$BASE/$ZIP_NAME" -o "$TMP_DIR/$ZIP_NAME"
curl -fsSL "$BASE/SKILL.md" -o "$TMP_DIR/SKILL.md"
curl -fsSL "$BASE/skill.json" -o "$TMP_DIR/skill.json"

ACTUAL_PUBKEY_SHA256="$(openssl pkey -pubin -in "$TMP_DIR/signing-public.pem" -outform DER | shasum -a 256 | awk '{print $1}')"
if [ "$ACTUAL_PUBKEY_SHA256" != "$RELEASE_PUBKEY_SHA256" ]; then
  echo "ERROR: signing-public.pem fingerprint mismatch" >&2
  exit 1
fi

openssl base64 -d -A -in "$TMP_DIR/checksums.sig" -out "$TMP_DIR/checksums.sig.bin"
openssl pkeyutl -verify -rawin -pubin \
  -inkey "$TMP_DIR/signing-public.pem" \
  -sigfile "$TMP_DIR/checksums.sig.bin" \
  -in "$TMP_DIR/checksums.json" >/dev/null

hash_file() {
  if command -v shasum >/dev/null 2>&1; then
    shasum -a 256 "$1" | awk '{print $1}'
  else
    sha256sum "$1" | awk '{print $1}'
  fi
}

verify_manifest_file() {
  asset="$1"
  path="$2"
  expected="$(jq -r --arg asset "$asset" '.files[$asset].sha256 // empty' "$TMP_DIR/checksums.json")"
  if [ -z "$expected" ]; then
    echo "ERROR: checksums.json missing $asset" >&2
    exit 1
  fi
  actual="$(hash_file "$path")"
  if [ "$actual" != "$expected" ]; then
    echo "ERROR: checksum mismatch for $asset" >&2
    exit 1
  fi
}

expected_archive="$(jq -r '.archive.sha256 // empty' "$TMP_DIR/checksums.json")"
if [ -z "$expected_archive" ]; then
  echo "ERROR: checksums.json missing archive.sha256" >&2
  exit 1
fi
actual_archive="$(hash_file "$TMP_DIR/$ZIP_NAME")"
if [ "$actual_archive" != "$expected_archive" ]; then
  echo "ERROR: archive checksum mismatch" >&2
  exit 1
fi

verify_manifest_file "SKILL.md" "$TMP_DIR/SKILL.md"
verify_manifest_file "skill.json" "$TMP_DIR/skill.json"

echo "Signed release manifest, archive, SKILL.md, and skill.json verified."

Only install or extract the archive after this verification succeeds.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Clawsec Nanoclaw AI skill do?

Use when checking for security vulnerabilities in NanoClaw skills, before installing new skills, or when asked about security advisories affecting the bot

Why use Clawsec Nanoclaw on TypingMind?

Because you install it once and use it with any model. Clawsec Nanoclaw is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clawsec Nanoclaw in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prompt-security/clawsec/tree/main/skills/clawsec-nanoclaw. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clawsec Nanoclaw?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clawsec Nanoclaw?

As many as you like. As long as a model supports skills, you can use Clawsec Nanoclaw with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clawsec Nanoclaw AI skill free?

Yes. It is published on GitHub by prompt-security under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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