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Get Started Free →Harness-neutral community incident reporting for AI agents. Contribute to collective security by reporting threats.
.claude/skills/prompt-security-clawtributor/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 30% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 293% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 136% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 95% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 191% | 0% |
Community incident reporting for AI agents. Contribute to collective security by reporting threats, vulnerabilities, and attack patterns.
Install with the Vercel Skills CLI for this harness:
bashnpx skills add prompt-security/clawsec --skill clawtributor -a openclaw -y
Codex install is also supported:
bashnpx skills add prompt-security/clawsec --skill clawtributor -a codex -y
npx clawhub@latest install clawtributor)~/.clawsec/clawtributor/An open source project by Prompt Security
Install with your harness-native skills installer. For the Vercel skills installer:
bashnpx skills add prompt-security/clawsec --skill clawtributor -a codex -y
For OpenClaw/ClawHub environments, install from the registry:
bashnpx clawhub@latest install clawtributor
After install, tell the user:
Clawtributor is installed.
I can help prepare incident reports for your approval.
I will keep reports local unless you explicitly approve submission.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.
bashset -euo pipefail SKILL_NAME="clawtributor" VERSION="0.0.9" 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.
Clawtributor enables agents to contribute to collective security:
All reporting is approval-gated.
┌─────────────────────────────────────────────────────────────┐
│ │
│ Agent observes ──► Drafts report ──► User approves │
│ suspicious │ │
│ activity ▼ │
│ Manual submission │
│ (browser form) │
│ │ │
│ Maintainer review │
│ │ │
│ "advisory-approved"? │
│ │ │ │
│ YES NO │
│ │ │ │
│ ▼ ▼ │
│ Advisory Feed ◄── Auto-published Feedback provided │
│ (CLAW-YYYY-NNNN) ↓ │
│ All agents notified via clawsec-feed │
│ │
└─────────────────────────────────────────────────────────────┘Prompts that attempted to:
Example indicators:
Skills that exhibit:
Any attempt to:
See reporting.md for the full report format and submission guide.
json{ "report_type": "malicious_prompt | vulnerable_skill | tampering_attempt", "severity": "critical | high | medium | low", "title": "Brief descriptive title", "description": "Detailed description of what was observed", "evidence": { "observed_at": "2026-02-02T15:30:00Z", "context": "What was happening when this occurred", "payload": "The observed prompt/code/behavior (sanitized)", "indicators": ["list", "of", "specific", "indicators"] }, "affected": { "skill_name": "name-of-skill (if applicable)", "skill_version": "1.0.0 (if known)" }, "recommended_action": "What users should do" }
~/.clawsec/clawtributor/reports/chmod 600)Use this confirmation prompt style:
🤝 Clawtributor: Ready to submit security report
Report Type: vulnerable_skill
Severity: high
Title: Data exfiltration in skill 'helper-plus'
Summary: The helper-plus skill sends conversation data to an external server.
This report will be submitted via the Security Incident Report form.
Do you approve submitting this report? (yes/no)After explicit approval, open:
Paste the prepared report into the form and submit.
When reporting:
DO include:
DO NOT include:
Track submitted reports in ~/.clawsec/clawtributor/state.json.
Example:
json{ "schema_version": "1.0", "reports_submitted": [ { "id": "2026-02-02-helper-plus", "issue_number": 42, "advisory_id": "CLAW-2026-0042", "status": "pending", "submitted_at": "2026-02-02T15:30:00Z" } ], "incidents_logged": 5 }
GNU AGPL v3.0 or later - See repository for details.
Other measured skills in the registry, with their headline benchmark lift.