Picoclaw Security Guardian logo

Picoclaw Security Guardian

OrganizationPopular
prompt-security
picoclaw-security-guardian

Picoclaw security posture skill with advisory awareness, configuration drift detection, and supply-chain verification guidance.

Overview

Publisherprompt-security
Repositoryclawsec
Skill namepicoclaw-security-guardian
Stars
1.1K
Forks
112
Bundled files
15
LicenseAGPL-3.0-or-later
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.

  • 15 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 Picoclaw Security Guardian 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/picoclaw-security-guardian
  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/picoclaw-security-guardian .claude/skills/picoclaw-security-guardian
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Picoclaw Security Guardian 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 Picoclaw Security Guardian 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 Picoclaw Security Guardian 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.

Picoclaw Security Guardian

Detailed architecture/operator docs: wiki/modules/picoclaw-security-guardian.md.

Vercel Skills Installation

Install with the Vercel Skills CLI for this harness:

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

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="picoclaw-security-guardian"
VERSION="0.0.6"
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.

Goal

Provide Picoclaw with the same support-matrix security capabilities ClawSec tracks for mature platform modules:

Skill namesupported platformsecurity feedconfig driftagent posture-review lanechain of supply verification
picoclaw-security-guardianPicoclawYesYesSeparate packageYes

Threat model

Picoclaw is a lightweight AI gateway that can expose chat channels, a Web UI, tool execution, MCP servers, credentials, schedulers, and embedded/router deployments. This skill focuses on the trust boundaries where those features become security-sensitive.

Default safety posture

  • Read-only by default.
  • No scheduler creation in v0.0.1.
  • No outbound network by default.
  • Writes only explicit report/profile outputs under $PICOCLAW_HOME/security/clawsec/ unless the operator supplies test-local temporary paths.
  • Advisory checks fail closed when verification state is not verified unless the operator passes --allow-unsigned for a documented emergency/offline window.

Security advisory awareness

Use scripts/check_advisories.mjs with a local feed/cache and verification state:

bash
node scripts/check_advisories.mjs   --feed ~/.picoclaw/security/clawsec/feed.json   --state ~/.picoclaw/security/clawsec/feed-verification-state.json

The script filters advisories for picoclaw, ai-gateway, empty/all-platform advisories, or affected package entries containing picoclaw. The expected feed input is the consolidated signed ClawSec advisory feed, so it can contain NVD CVEs, approved community advisories, and provisional GHSA-without-CVE records.

Drift protection

Generate a deterministic profile:

bash
node scripts/generate_profile.mjs   --output ~/.picoclaw/security/clawsec/current-profile.json

Compare against an approved baseline:

bash
node scripts/check_drift.mjs   --baseline ~/.picoclaw/security/clawsec/baseline-profile.json   --current ~/.picoclaw/security/clawsec/current-profile.json   --fail-on critical

Critical drift includes public Web UI enablement, Web UI auth disablement, workspace restriction disablement, unsigned/insecure verification mode, verified-feed regression, and watched-file/release-artifact fingerprint changes.

Chain-of-supply verification

Verify a Picoclaw release artifact against a checksum manifest plus detached signature. Signed manifest verification is required for a passing supply-chain verdict:

bash
node scripts/verify_supply_chain.mjs \
  --artifact ./picoclaw \
  --checksums ./checksums.json \
  --signature ./checksums.json.sig \
  --public-key ./feed-signing-public.pem

Checksum-only mode is integrity-only, not provenance. Use --allow-unsigned-checksums only for short, documented offline triage windows; it should not satisfy production install verification.

Operator review notes

  • Treat public UI binding (0.0.0.0, -public) as a critical review item until auth and network allowlists are proven.
  • Treat MCP servers as separate trust boundaries; review each server's filesystem, network, and credential access.
  • Treat third-party OpenWrt/LuCI wrappers as separate supply-chain artifacts. Verify provenance before installing them on routers.
  • Never leave unsigned advisory mode enabled in recurring or production checks.

Validation

bash
python utils/validate_skill.py skills/picoclaw-security-guardian
node skills/picoclaw-security-guardian/test/profile.test.mjs
node skills/picoclaw-security-guardian/test/drift.test.mjs
node skills/picoclaw-security-guardian/test/supply_chain.test.mjs
bash -n skills/picoclaw-security-guardian/test/picoclaw_security_guardian_sandbox_regression.sh

Pre-release install regression

Before publishing v0.0.1 release artifacts, run the isolated install lane from the repo root:

bash
skills/picoclaw-security-guardian/test/picoclaw_security_guardian_sandbox_regression.sh

The regression installs the skill through Picoclaw's own find_skills / install_skill path from a local ClawHub-compatible registry into an isolated Docker-hosted Picoclaw workspace with isolated HOME, PICOCLAW_HOME, and PICOCLAW_WORKSPACE. It verifies signed release-artifact preflight inputs, confirms Picoclaw's skill loader can list/load the installed skill, then runs the installed copy's profile, drift, advisory fail-closed, advisory filtering, and supply-chain verification paths against Picoclaw-style config.json and launcher-config.json files.

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 Picoclaw Security Guardian AI skill do?

Picoclaw security posture skill with advisory awareness, configuration drift detection, and supply-chain verification guidance.

Why use Picoclaw Security Guardian on TypingMind?

Because you install it once and use it with any model. Picoclaw Security Guardian 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 Picoclaw Security Guardian in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prompt-security/clawsec/tree/main/skills/picoclaw-security-guardian. 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 Picoclaw Security Guardian?

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 Picoclaw Security Guardian?

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

Is the Picoclaw Security Guardian AI skill free?

Yes. It is published on GitHub by prompt-security under the AGPL-3.0-or-later 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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