picoclaw-traffic-guardian

Q: How do I install picoclaw-traffic-guardian?

Run npx skills add https://github.com/prompt-security/clawsec --skill picoclaw-traffic-guardian in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/picoclaw-traffic-guardian/ (personal) or .claude/skills/picoclaw-traffic-guardian/ (project).

by prompt-securityAI & Agents

Picoclaw runtime traffic monitoring baseline for lightweight AI gateway proxy inspection, egress detection, and posture integration.

Installs: 49
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/prompt-security/clawsec --skill picoclaw-traffic-guardian

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads picoclaw-traffic-guardian automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Picoclaw Traffic Guardian

This is a baseline specification skill. It intentionally does not ship a proxy or runtime implementation yet.

Vercel Skills Installation

Install with the Vercel Skills CLI for this harness:

npx skills add prompt-security/clawsec --skill picoclaw-traffic-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.

set -euo pipefail

SKILL_NAME="picoclaw-traffic-guardian"
VERSION="0.0.1-beta5"
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.

Scope

Builders should use this skill as the Picoclaw landing zone for runtime traffic monitoring:

lightweight AI gateway HTTP proxy inspection
optional HTTPS inspection with per-process CA trust
outbound exfiltration detection
inbound injection detection
redacted local threat logs
profile export for picoclaw-security-guardian

Do not add proxy runtime ownership to picoclaw-security-guardian or picoclaw-self-pen-testing. Those skills should profile, drift-check, or review this monitor's status, not run it.

Safety Contract

Opt-in only.
Detect-and-log by default.
No automatic system CA installation.
No global proxy environment changes.
No blocking in the first implementation.
Redact secrets before logs, summaries, or profile outputs.
Keep all state under PICOCLAW_TRAFFIC_GUARDIAN_HOME or $PICOCLAW_HOME/security/clawsec/traffic-guardian.

Builder Entry Points

Read SPEC.md before implementing. Use the placeholder folders as follows:

Path	Intended use
`lib/`	Detector rules, redaction, profile export, report formatting
`scripts/`	Start, stop, status, config validation, log query, profile export helpers
`test/`	Unit tests, proxy fixture tests, redaction tests, profile integration tests

Required First Implementation Behavior

Validate config without starting the proxy.
Start monitor in foreground or explicit background mode.
Scope proxy environment variables to the target Picoclaw gateway process.
Inspect HTTP request/response text up to a bounded byte limit.
Support optional HTTPS MITM only when the operator supplies per-process trust configuration.
Emit JSONL findings with redacted snippets.
Export a small profile fragment that picoclaw-security-guardian can include in deterministic posture profiles.

Out of Scope for v0.0.1 Implementation

automatic system trust-store mutation
transparent network interception
default blocking
sending traffic to external services
collecting full request/response bodies

FAQ

What does the picoclaw-traffic-guardian skill do?

Picoclaw runtime traffic monitoring baseline for lightweight AI gateway proxy inspection, egress detection, and posture integration.

How do I install picoclaw-traffic-guardian?

Run npx skills add https://github.com/prompt-security/clawsec --skill picoclaw-traffic-guardian in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/picoclaw-traffic-guardian/ (personal) or .claude/skills/picoclaw-traffic-guardian/ (project).

Which AI agents can use picoclaw-traffic-guardian?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is picoclaw-traffic-guardian safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains picoclaw-traffic-guardian?

It is published by prompt-security in prompt-security/clawsec. It has 49 recorded installs.

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picoclaw-traffic-guardian

Install

Install

Describe the task

Review the result

SKILL.md

Picoclaw Traffic Guardian

Vercel Skills Installation

Release Artifact Verification

Scope

Safety Contract

Builder Entry Points

Required First Implementation Behavior

Out of Scope for v0.0.1 Implementation

FAQ

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