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Clawsec Clawhub Checker

OrganizationPopular
prompt-security
clawsec-clawhub-checker

ClawHub reputation checker for clawsec-suite. Adds a standalone reputation gate before guarded skill installation.

Overview

Publisherprompt-security
Repositoryclawsec
Skill nameclawsec-clawhub-checker
Stars
1.1K
Forks
112
Bundled files
8
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.

  • 8 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 Clawhub Checker 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-clawhub-checker
  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-clawhub-checker .claude/skills/clawsec-clawhub-checker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clawsec Clawhub Checker 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 Clawhub Checker 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 Clawhub Checker 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 ClawHub Checker

Adds a reputation gate on top of the clawsec-suite guarded installer.

Vercel Skills Installation

Install with the Vercel Skills CLI for this harness:

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

Operational Notes

  • Required runtime: node, clawhub, openclaw
  • Depends on: installed clawsec-suite
  • Side effects: none on other skills; this package does not rewrite installed suite files
  • Advisory-hook wiring is optional and manual in this release
  • Network behavior: reputation checks call ClawHub inspect/search endpoints
  • Trust model: scores are heuristic and confirmation-gated

What It Does

  1. Reads skill metadata from ClawHub (inspect --json)
  2. Evaluates scanner status (including VirusTotal summary when present)
  3. Applies additional reputation heuristics (age, updates, author history, downloads)
  4. Requires explicit --confirm-reputation when score is below threshold

Installation

Install after clawsec-suite:

bash
npx clawhub@latest install clawsec-suite
npx clawhub@latest install clawsec-clawhub-checker

Optional preflight check (validates local paths and prints recommended command):

bash
node ~/.openclaw/skills/clawsec-clawhub-checker/scripts/setup_reputation_hook.mjs

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-clawhub-checker"
VERSION="0.0.8"
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.

Usage

Run the enhanced installer directly from this skill:

bash
node ~/.openclaw/skills/clawsec-clawhub-checker/scripts/enhanced_guarded_install.mjs \
  --skill some-skill \
  --version 1.0.0

If a skill is below threshold, rerun only with explicit approval:

bash
node ~/.openclaw/skills/clawsec-clawhub-checker/scripts/enhanced_guarded_install.mjs \
  --skill some-skill \
  --version 1.0.0 \
  --confirm-reputation

Optional Advisory-Hook Wiring (Manual)

This release does not auto-patch clawsec-suite hook files.
If you rely on advisory alerts that include reputationWarning / reputationWarnings, wire the checker module manually:

  • Source module: ~/.openclaw/skills/clawsec-clawhub-checker/hooks/clawsec-advisory-guardian/lib/reputation.mjs
  • Target hook file: ~/.openclaw/skills/clawsec-suite/hooks/clawsec-advisory-guardian/handler.ts

Treat that wiring as a deliberate local customization and review it before enabling.

Exit Codes

  • 0 safe to install
  • 42 advisory confirmation required (from clawsec-suite)
  • 43 reputation confirmation required
  • 1 error

Configuration

Environment variables:

  • CLAWHUB_REPUTATION_THRESHOLD - Minimum score (0-100, default: 70)

Safety Notes

  • This is defense-in-depth, not a replacement for advisory matching
  • Scanner outputs can produce false positives and false negatives
  • Always review skill code before overriding warnings

Development

Key files:

  • scripts/enhanced_guarded_install.mjs
  • scripts/check_clawhub_reputation.mjs
  • scripts/setup_reputation_hook.mjs
  • hooks/clawsec-advisory-guardian/lib/reputation.mjs

License

GNU AGPL v3.0 or later - Part of the ClawSec security suite

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 Clawhub Checker AI skill do?

ClawHub reputation checker for clawsec-suite. Adds a standalone reputation gate before guarded skill installation.

Why use Clawsec Clawhub Checker on TypingMind?

Because you install it once and use it with any model. Clawsec Clawhub Checker 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 Clawhub Checker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prompt-security/clawsec/tree/main/skills/clawsec-clawhub-checker. 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 Clawhub Checker?

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 Clawhub Checker?

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

Is the Clawsec Clawhub Checker 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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