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Openclaw ledger

Skill AtlasPA/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.From its SKILL.md

Install
npx -y skills add AtlasPA/openclaw-ledger

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
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SKILL.md

2.5 KB, 496 tokens by cl100k_base, as published. Nobody here has run it

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.

Need automated forensics? Upgrade to openclaw-ledger-pro for freeze, forensics, and chain restoration.

Commands

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.

What ships with it: 2 files

14.8 KB alongside SKILL.md, 1 of them executable

scripts/

Gives 0 of the 12 instructions most finance skills give in 496 tokens

Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07

  • Extract date vendor amount and descriptionin 15 of 469, across 3 files
  • Scan folder for invoice filesin 14 of 469, across 2 files
  • Rename files to standard formatin 14 of 469, across 2 files
  • Show organization plan before movingin 14 of 469, across 2 files
  • Generate summary CSVin 14 of 469, across 2 files
  • Organize files by categoryin 13 of 469, across 1 file
  • Preserve original filesin 13 of 469, across 1 file
  • Flag files missing critical infoin 13 of 469, across 1 file
  • Produce the requested output filein 9 of 469, across 4 files
  • Build best, base, and worst case scenariosin 9 of 469, across 5 files
  • Implement backoff if rate limit errors occurin 8 of 469, across 3 files
  • Determine the weighted average cost of capitalin 8 of 469, across 4 files

Said here and by no other author read

  • initialize the ledger
  • record changes after workspace modifications
  • provide a message when recording changes
  • verify the hash chain integrity
  • view recent ledger entries
  • check ledger status

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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