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Tencent SkillHub · Productivity

Openclaw Ledger

Tamper-evident audit trail for agent sessions. Hash-chained logs of workspace changes with cryptographic verification. Know exactly what changed, when, and detect if anyone altered the record. Free alert layer — upgrade to openclaw-ledger-pro for freeze, forensics, and chain restoration.

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High Signal

Tamper-evident audit trail for agent sessions. Hash-chained logs of workspace changes with cryptographic verification. Know exactly what changed, when, and detect if anyone altered the record. Free alert layer — upgrade to openclaw-ledger-pro for freeze, forensics, and chain restoration.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, scripts/ledger.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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

OpenClaw Ledger

Tamper-evident audit trail for agent workspaces. Every workspace change is recorded in a hash-chained log — if anyone alters an entry, the chain breaks and you know.

The Problem

Agents modify files, execute commands, install skills — and leave no verifiable record. If something goes wrong, you can't trace what happened. If logs exist, nothing proves they haven't been altered after the fact.

Initialize

Create the ledger and snapshot current workspace state. python3 {baseDir}/scripts/ledger.py init --workspace /path/to/workspace

Record Changes

Snapshot current state and log all changes since last record. python3 {baseDir}/scripts/ledger.py record --workspace /path/to/workspace python3 {baseDir}/scripts/ledger.py record -m "Installed new skill" --workspace /path/to/workspace

Verify Chain

Verify the hash chain is intact — no entries tampered with. python3 {baseDir}/scripts/ledger.py verify --workspace /path/to/workspace

View Log

Show recent ledger entries. python3 {baseDir}/scripts/ledger.py log --workspace /path/to/workspace python3 {baseDir}/scripts/ledger.py log -n 20 --workspace /path/to/workspace

Quick Status

python3 {baseDir}/scripts/ledger.py status --workspace /path/to/workspace

How It Works

Each entry contains: Timestamp SHA-256 hash of the previous entry Event type and data (file changes, snapshots) If any entry is modified, inserted, or deleted, the hash chain breaks and verify detects it.

Exit Codes

0 — Clean / chain intact 1 — No ledger or minor issues 2 — Chain tampered / corrupt entries

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

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts
  • SKILL.md Primary doc
  • README.md Docs
  • scripts/ledger.py Scripts