Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Finance & Trading
Agent Audit Trail
Provides tamper-evident, append-only, hash-chained audit logs for AI agents verifying actions with monotonic ordering and integrity checks.
skill openclawclawhub Free
Provides tamper-evident, append-only, hash-chained audit logs for AI agents verifying actions with monotonic ordering and integrity checks.
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
- README.md, SKILL.md, examples/basic-usage.sh, examples/eu-ai-act-compliance.sh, scripts/auditlog.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. 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
- 2.0.0
Provenance
- Publisher
- roosch269
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Audit Trail Skill
Tamper-evident, hash-chained audit logging for AI agents. EU AI Act compliant.
Why
AI agents act on your behalf. From 2 August 2026, the EU AI Act requires automatic logging, tamper-evident records, and human oversight capability for AI systems. This skill provides all three with zero dependencies.
1. Add to your agent's workspace
cp scripts/auditlog.py /path/to/your/workspace/scripts/ chmod +x /path/to/your/workspace/scripts/auditlog.py
2. Log an action
./scripts/auditlog.py append \ --kind "file-write" \ --summary "Created config.yaml" \ --target "config.yaml" \ --domain "personal"
3. Verify integrity
./scripts/auditlog.py verify # Output: OK (N entries verified)
Compliance Mapping
EU AI Act ArticleRequirementHow This Skill HelpsArt. 12 Record-KeepingAutomatic event loggingEvery action logged with timestamp, actor, domain, targetArt. 12 IntegrityTamper-evident recordsSHA-256 hash chaining β modification breaks the chainArt. 14 Human OversightHuman approval linkage--gate flag links actions to human approval referencesArt. 50 TransparencyAuditable recordsHuman-readable NDJSON, one-command verificationArt. 12 TraceabilityChronological orderingMonotonic ord tokens
Event Kinds
Use these standardised event types for consistent audit trails: KindWhen to Usefile-writeAgent creates or modifies filesexecAgent runs a commandapi-callExternal API interactiondecisionAI makes or recommends a decisioncredential-accessSecrets or credentials accessedexternal-writeAgent writes to external systemshuman-overrideHuman overrides an AI decisiondisclosureAI identity disclosed to user
Full Documentation
See README.md for complete usage, integration examples, security model, and EU AI Act compliance guide.
Log Format
{ "ts": "2026-02-24T07:15:00+00:00", "kind": "exec", "actor": "atlas", "domain": "ops", "plane": "action", "target": "pg_dump production", "summary": "Ran database backup", "gate": "approval-123", "ord": 42, "chain": {"prev": "abc...", "hash": "def...", "algo": "sha256(prev\\nline_c14n)"} }
OpenClaw Integration
- Add to HEARTBEAT.md:
- ## Audit integrity check
- Run: `./scripts/auditlog.py verify`
- - If fails: alert with line number + hash mismatch
- - If OK: silent
Requirements
Python 3.9+ (zero external dependencies) MIT License Built with π by Roosch and Atlas
Category context
Trading, swaps, payments, treasury, liquidity, and crypto-financial operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs
- SKILL.md
- README.md
- examples/basic-usage.sh
- examples/eu-ai-act-compliance.sh
- scripts/auditlog.py