Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Security & Compliance
OpenClaw Policy Check
Scan repositories for risky security patterns before execution. Use when users ask for a quick preflight security check, policy enforcement scan, suspicious code triage, or detection of unsafe commands, secret leakage, and dangerous shell behavior.
skill openclawclawhub Free
Scan repositories for risky security patterns before execution. Use when users ask for a quick preflight security check, policy enforcement scan, suspicious code triage, or detection of unsafe commands, secret leakage, and dangerous shell behavior.
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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, agents/openai.yaml, scripts/policy_check.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
- spbavarva
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw Policy Check
Run a lightweight policy scan to catch common high-risk patterns in code and scripts.
Inputs
target_path (required): file or directory to scan. fail_on (optional): severity threshold for non-zero exit. One of critical, high, medium, low. json_output (optional): print raw JSON output.
Workflow
Run scripts/policy_check.py on the target path. Review severity counts and top findings. If findings exist, prioritize critical and high items first. Suggest concrete fixes for each flagged pattern.
Commands
python3 scripts/policy_check.py "<target_path>" python3 scripts/policy_check.py "<target_path>" --json python3 scripts/policy_check.py "<target_path>" --fail-on high
Response Contract
Always include total findings and severity breakdown. Include top findings with file:line, rule id, and reason. If no findings exist, explicitly state that no policy violations were detected. Keep remediation guidance concrete and brief.
Category context
Identity, auth, scanning, governance, audit, and operational guardrails.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Config
- SKILL.md
- scripts/policy_check.py
- agents/openai.yaml