Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Skill Defender
Scans installed OpenClaw skills for malicious patterns including prompt injection, credential theft, data exfiltration, obfuscated payloads, and backdoors. Use when installing new skills, after skill updates, or for periodic security scans. Runs deterministic pattern matching — fast, offline, no API cost.
skill openclawclawhub Free
Scans installed OpenClaw skills for malicious patterns including prompt injection, credential theft, data exfiltration, obfuscated payloads, and backdoors. Use when installing new skills, after skill updates, or for periodic security scans. Runs deterministic pattern matching — fast, offline, no API cost.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/threat-patterns.md, scripts/aggregate_scan.py, scripts/scan_skill.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- itsclawdbro
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Automatic Triggers
New skill installed — Immediately run scan_skill.py against it before allowing use Skill updated — Re-scan after any file changes in a skill directory Periodic audit — Run batch scan on all installed skills when requested
Manual Triggers
User says "scan skill X" → scan that specific skill User says "scan all skills" → batch scan all skills User says "security check" or "audit skills" → same as above
scripts/scan_skill.py — Single Skill Scanner
Scans one skill directory for malicious patterns. Produces JSON or human-readable output.
scripts/aggregate_scan.py — Batch Scanner
Scans ALL installed skills and produces a single JSON report. Includes a built-in allowlist to reduce false positives from security-related skills, API skills, and other known-safe patterns.
How to Run
# Scan a single skill (human-readable) python3 scripts/scan_skill.py /path/to/skill-dir # Scan a single skill (JSON output) python3 scripts/scan_skill.py /path/to/skill-dir --json # Scan ALL installed skills (JSON aggregate report) python3 scripts/aggregate_scan.py # With custom skills directory python3 scripts/aggregate_scan.py --skills-dir /path/to/skills # With verbose warnings python3 scripts/scan_skill.py /path/to/skill-dir --verbose # Exclude false positives python3 scripts/scan_skill.py /path/to/skill-dir --exclude "pattern1" "pattern2"
Exit Codes (scan_skill.py)
0 = clean or informational only 1 = suspicious (medium/high findings) 2 = dangerous (critical findings) 3 = error
Output Format (aggregate_scan.py)
{ "skills": [ { "name": "skill-name", "verdict": "clean|suspicious|dangerous|error", "findingsCount": 0, "findings": [] } ], "summary": "All 37 skills passed with no significant issues.", "totalSkills": 37, "cleanCount": 37, "suspiciousCount": 0, "dangerousCount": 0, "errorCount": 0, "timestamp": "2026-02-02T06:00:00+00:00" }
Auto-Detection
Both scripts auto-detect paths: Skills directory: Detected from script location (walks up to find skills/ parent), falls back to ~/clawd/skills, ~/skills, ~/.openclaw/skills Scanner script: aggregate_scan.py finds scan_skill.py co-located in the same directory
✅ Clean (verdict: "clean")
No action needed — skill is safe
⚠️ Suspicious (verdict: "suspicious")
Warn the user with a summary of findings Show the category and severity of each finding
🚨 Dangerous (verdict: "dangerous")
Block the skill — do not proceed with installation or use Show the full detailed findings to the user Require explicit user override to proceed
Built-in Allowlist
The aggregate scanner includes an allowlist for known false positives: Security scanners (skill-defender, clawdbot-security-check) — their docs/scripts contain the very patterns they detect Auth-dependent skills (tailscale, reddit, n8n, event-planner) — legitimately reference credential paths and API keys Config-aware skills (memory-setup, eightctl, summarize) — reference config paths in documentation Agent-writing skills (self-improving-agent) — designed to modify agent files
Pattern Reference
See references/threat-patterns.md for full documentation of all detected patterns, organized by category with explanations of why each is dangerous.
Important Notes
No external dependencies — standard library only (Python 3.9+) Fast — under 1 second per skill, ~30 seconds for a full batch of 30+ skills This is deterministic pattern matching (Layer 2 defense). Not LLM-based. False positives are possible — the allowlist and --exclude flag help The scanner will flag itself if scanned without the allowlist — this is expected
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts
- SKILL.md
- references/threat-patterns.md
- scripts/aggregate_scan.py
- scripts/scan_skill.py