Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Trust Verifier
Verify skill provenance and build trust scores for ClawHub skills. Checks publisher history, version consistency, dependency trust chains, and generates trus...
skill openclawclawhub Free
Verify skill provenance and build trust scores for ClawHub skills. Checks publisher history, version consistency, dependency trust chains, and generates trus...
β¬ 0 downloads β
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, scripts/trust_verifier.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
Trust Verifier
Trust, but verify. Assess the trustworthiness of a ClawHub skill by analyzing its publisher, history, dependencies, and consistency.
Why This Exists
Security scanning catches known malicious patterns. But what about skills that are technically clean but published by unknown authors, have inconsistent version histories, or depend on untrusted packages? Trust Verifier fills the gap between "no vulnerabilities detected" and "safe to install."
Assess trust for a skill directory
python3 {baseDir}/scripts/trust_verifier.py assess --path ~/.openclaw/skills/some-skill/
Generate a trust attestation
python3 {baseDir}/scripts/trust_verifier.py attest --path ~/.openclaw/skills/some-skill/ --output trust.json
Verify an existing attestation
python3 {baseDir}/scripts/trust_verifier.py verify --attestation trust.json --path ~/.openclaw/skills/some-skill/
Check dependency trust chain
python3 {baseDir}/scripts/trust_verifier.py deps --path ~/.openclaw/skills/some-skill/
Trust Signals
Publisher reputation: Known vs unknown publisher, account age, skill count Version consistency: Do updates match expected patterns? Sudden permission changes? Content integrity: SHA-256 hashes of all files, reproducible builds Dependency chain: Are dependencies from trusted sources? Community signals: Moltbook mentions, upvotes, known endorsements
Trust Levels
VERIFIED β Meets all trust criteria, attestation valid TRUSTED β Most signals positive, minor gaps UNKNOWN β Insufficient data to assess trust SUSPICIOUS β One or more trust signals failed UNTRUSTED β Multiple trust failures, do not install
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/trust_verifier.py