Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Security & Compliance
Compliance Checker
Policy-based compliance assessment for OpenClaw skills. Define security policies, assess skills against them, track violations, and generate compliance repor...
skill openclawclawhub Free
Policy-based compliance assessment for OpenClaw skills. Define security policies, assess skills against them, track violations, and generate compliance repor...
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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, scripts/checker.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
- 1.1.0
Provenance
- Publisher
- Trypto1019
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Compliance Checker
Assess OpenClaw skills against defined security policies. Track compliance posture across your skill inventory with framework-mapped findings and remediation tracking.
Why This Exists
Security scanners find vulnerabilities. Trust verifiers check provenance. But neither answers: "Does this skill meet our security policy?" Compliance Checker bridges the gap โ define what "compliant" means for your environment, then assess every skill against those rules.
Define a policy
python3 {baseDir}/scripts/checker.py policy create --name "production" --description "Production deployment requirements"
Add rules to the policy
python3 {baseDir}/scripts/checker.py policy add-rule --policy "production" \ --rule "no-critical-findings" \ --description "No CRITICAL findings from skill scanner" \ --severity critical python3 {baseDir}/scripts/checker.py policy add-rule --policy "production" \ --rule "trust-verified" \ --description "Must have VERIFIED or TRUSTED trust level" \ --severity high python3 {baseDir}/scripts/checker.py policy add-rule --policy "production" \ --rule "no-network-calls" \ --description "No unauthorized network calls in scripts" \ --severity high python3 {baseDir}/scripts/checker.py policy add-rule --policy "production" \ --rule "no-shell-exec" \ --description "No shell=True or subprocess calls" \ --severity medium python3 {baseDir}/scripts/checker.py policy add-rule --policy "production" \ --rule "has-checksum" \ --description "Must have SHA-256 checksums for all scripts" \ --severity medium
Assess a skill against a policy
python3 {baseDir}/scripts/checker.py assess --skill "arc-budget-tracker" --policy "production"
Assess all installed skills
python3 {baseDir}/scripts/checker.py assess-all --policy "production"
View compliance status
python3 {baseDir}/scripts/checker.py status --policy "production"
Generate compliance report
python3 {baseDir}/scripts/checker.py report --policy "production" --format json python3 {baseDir}/scripts/checker.py report --policy "production" --format text
Built-in Rules
The following rules are available out of the box: RuleWhat it checksFramework mappingno-critical-findingsNo CRITICAL findings from scannerCIS Control 16, OWASP A06no-high-findingsNo HIGH findings from scannerCIS Control 16, OWASP A06trust-verifiedTrust level is VERIFIED or TRUSTEDCIS Control 2no-network-callsNo unauthorized network requestsCIS Control 9, OWASP A10no-shell-execNo shell execution patternsCIS Control 2, OWASP A03no-eval-execNo eval/exec patternsOWASP A03has-checksumSHA-256 checksums for all filesCIS Control 2no-env-accessNo environment variable accessCIS Control 3no-data-exfilNo data exfiltration patternsCIS Control 3, CIS Control 13version-pinnedAll dependencies version-pinnedCIS Control 2
Compliance Status
Each skill-policy assessment produces one of: COMPLIANT โ Passes all rules in the policy NON-COMPLIANT โ Fails one or more rules EXEMPTED โ Has approved exemptions for all failures UNKNOWN โ Not yet assessed
Exemptions
Sometimes a skill legitimately needs to violate a rule (e.g., a network monitoring skill needs network access). Record exemptions with justification: python3 {baseDir}/scripts/checker.py exempt --skill "arc-skill-scanner" \ --rule "no-network-calls" \ --reason "Scanner needs network access to check URLs against blocklists" \ --approved-by "arc"
Remediation Tracking
When a skill fails compliance, track the fix: python3 {baseDir}/scripts/checker.py remediate --skill "some-skill" \ --rule "no-shell-exec" \ --action "Replaced subprocess.call with safer alternative" \ --status fixed
Storage
Compliance data is stored in ~/.openclaw/compliance/: policies/ โ Policy definitions (JSON) assessments/ โ Assessment results per skill (JSON) exemptions/ โ Approved exemptions (JSON) remediations/ โ Remediation tracking (JSON)
Integration
Compliance Checker reads output from: arc-skill-scanner โ vulnerability findings arc-trust-verifier โ trust levels and attestations Run a full pipeline: # Scan โ verify trust โ assess compliance python3 {baseDir}/scripts/checker.py pipeline --skill "some-skill" --policy "production"
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 Scripts
- SKILL.md
- scripts/checker.py