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Official Verified developer tools Safety 4/5

log

A privacy-first, local-first provenance protocol for agent workflows. Emits structured audit records for important decisions, tool calls, state changes, and errors, so the host environment can store, verify, and review them safely.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/agistack/log
Or

What This Skill Does

The Log skill acts as the Immutable Audit & Cognitive Provenance Standard within the OpenClaw ecosystem. At its core, Log functions as the foundational memory layer for agentic activity, ensuring that every thought, decision, and interaction is recorded with cryptographic integrity. It captures the full lifecycle of agent operations—from the initial input processing and internal reasoning path (chain-of-thought) to external tool utilization and environmental telemetry. By maintaining this ledger, OpenClaw agents become reconstructible and fully auditable, moving away from black-box behavior toward transparent, institutional-grade autonomous operation.

Installation

To integrate the Log skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/agistack/log

Ensure that your agent has sufficient permissions to access the local storage directories where the immutable audit logs will be cached before synchronization with your defined data vault.

Use Cases

  1. Forensic Debugging: When an agent produces an unexpected outcome, developers can traverse the chain_of_thought and action_hash to identify exactly which reasoning step or tool call deviated from the expected path.
  2. Regulatory Compliance: For agents operating in sensitive industries, Log provides an automated, timestamped, and cryptographically verified audit stream that meets institutional data reporting requirements.
  3. Continuous Learning Loops: Use the high-fidelity interaction data stored in the telemetry_vault to generate synthetic training datasets, enabling iterative fine-tuning of agent performance based on real-world edge cases.

Example Prompts

  1. "OpenClaw, pull the audit log for the last three API calls and verify the action_hash against the system ledger."
  2. "Review the chain_of_thought for my latest research task; where exactly did the reasoning diverge from the provided instructions?"
  3. "Generate a compliance report for all autonomous interactions performed between 9 AM and 5 PM today and export it as an encrypted audit stream."

Tips & Limitations

  • Resource Management: Because Log records high-fidelity telemetry, persistent operation will generate significant disk usage. Regularly archive older logs to external cold storage to optimize performance.
  • Security: While logs are encrypted, ensure that your OpenClaw instance uses secure identity management, as logs contain sensitive environmental context and internal reasoning data.
  • Performance: While the logging process is highly optimized, intensive real-time logging during high-throughput tasks may introduce minor latency. Use the audit_stream judiciously in time-sensitive operations.

Metadata

Author@agistack
Stars4473
Views1
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-agistack-log": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#logging#audit#provenance#compliance#observability
Safety Score: 4/5

Flags: file-write, file-read, data-collection

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