Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Openclaw Signet
Cryptographic skill verification. Sign installed skills with SHA-256 content hashes and verify they haven't been tampered with. Detects modified, added, and removed files within skill directories. Free alert layer — upgrade to openclaw-signet-pro for rejection, quarantine, and trust chain restoration.
skill openclawclawhub Free
Cryptographic skill verification. Sign installed skills with SHA-256 content hashes and verify they haven't been tampered with. Detects modified, added, and removed files within skill directories. Free alert layer — upgrade to openclaw-signet-pro for rejection, quarantine, and trust chain restoration.
⬇ 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
- README.md, scripts/signet.py, SKILL.md
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- AtlasPA
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw Signet
Cryptographic verification for installed skills. Sign skills at install time, verify they haven't been tampered with later.
The Problem
You install a skill and it works. Days later, a compromised process modifies files inside the skill directory — injecting code, altering behavior, adding exfiltration. All current defenses are heuristic (regex pattern matching). Nothing mathematically verifies that installed code is unchanged.
Sign Skills
Generate SHA-256 content hashes for all installed skills and store in trust manifest. python3 {baseDir}/scripts/signet.py sign --workspace /path/to/workspace
Sign Single Skill
python3 {baseDir}/scripts/signet.py sign openclaw-warden --workspace /path/to/workspace
Verify Skills
Compare current skill state against trusted signatures. python3 {baseDir}/scripts/signet.py verify --workspace /path/to/workspace
List Signed Skills
python3 {baseDir}/scripts/signet.py list --workspace /path/to/workspace
Quick Status
python3 {baseDir}/scripts/signet.py status --workspace /path/to/workspace
How It Works
sign computes SHA-256 hashes of every file in each skill directory A composite hash represents the entire skill state verify recomputes hashes and compares against the manifest If any file is modified, added, or removed — the composite hash changes Reports exactly which files changed within each tampered skill
Exit Codes
0 — All skills verified 1 — Unsigned skills detected 2 — Tampered skills detected
No External Dependencies
Python standard library only. No pip install. No network calls. Everything runs locally.
Cross-Platform
Works with OpenClaw, Claude Code, Cursor, and any tool using the Agent Skills specification.
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
2 Docs1 Scripts
- SKILL.md
- README.md
- scripts/signet.py