Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
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.
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.
Create the ledger and snapshot current workspace state. python3 {baseDir}/scripts/ledger.py init --workspace /path/to/workspace
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 the hash chain is intact — no entries tampered with. python3 {baseDir}/scripts/ledger.py verify --workspace /path/to/workspace
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
python3 {baseDir}/scripts/ledger.py status --workspace /path/to/workspace
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.
0 — Clean / chain intact 1 — No ledger or minor issues 2 — Chain tampered / corrupt entries
Python standard library only. No pip install. No network calls. Everything runs locally.
Works with OpenClaw, Claude Code, Cursor, and any tool using the Agent Skills specification.
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.