Clawdit is a systematic auditing tool designed to align an AI agent's internal belief system and context files with the user's actual goals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawdit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install clawdit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Clawdit: Agent Belief Systems Auditor?
Clawdit is a specialized utility within the Openclaw Skills ecosystem that serves as a belief systems auditor. It systematically evaluates an agent's loaded context—including SOUL.md, AGENTS.md, and individual skill files—to ensure every instruction serves a specific purpose. By treating agent files as data rather than just instructions, Clawdit identifies misalignments, stale configurations, and redundant directives that inflate token usage.
The skill operates through a rigorous five-phase process that moves from goal elicitation to cross-file conflict detection. It helps developers maintain a lean, high-performance agent by providing a clear audit trail and recommended revisions for better identity consistency and operational efficiency.
Clawdit: Agent Belief Systems Auditor Use Cases
- Aligning an agent's behavior with new project goals or personal preferences.
- Reducing token costs by identifying and removing redundant or vague instructions.
- Resolving personality or logic conflicts between the core SOUL.md and specific skill directives.
- Modernizing agents by pruning stale references to deprecated tools, APIs, or models.
- Troubleshooting agent 'drift' where the AI begins to prioritize the wrong tasks or styles.
How Clawdit: Agent Belief Systems Auditor Works
- Goal Elicitation: The auditor interviews the user to establish a success rubric, ensuring it understands the intended purpose before reading any files.
- Belief Extraction: Clawdit scans the workspace to decompose markdown files into discrete belief units, tracking their source, type, and intent.
- Single-File Analysis: Each belief is classified (e.g., Aligned, Stale, Vague) against the established goals to determine its utility.
- Cross-File Analysis: The system checks for tone inconsistencies, priority inversions, and identity fragmentation across different configuration files.
- Collaborative Review: A detailed audit report is generated, allowing the user to review findings and approve specific revisions or file updates.
Clawdit: Agent Belief Systems Auditor Setup
To install this skill into your agent workspace, use the Openclaw CLI:
openclaw install clawdit
Ensure the audit framework is present in your base directory at audit-framework.md to provide the necessary classification definitions and report templates.
Clawdit: Agent Belief Systems Auditor Data Schema & Taxonomy
Clawdit organizes its auditing data and outputs using the following structure:
| File/Folder | Description |
|---|---|
USER.md |
Stores the 'Goals for Belief Auditing' and history of prior audits for fast-path re-auditing. |
/audits/audit-YYYY-MM-DD.md |
Permanent historical record of the full audit findings and classifications. |
/output/ |
Staging area for revised .md files before they are deployed to the target agent. |
audit-framework.md |
The core taxonomy and evaluation criteria used to score beliefs (B001, B002, etc.). |
Clawdit: Agent Belief Systems Auditor Advanced Features
- Returning User Fast Path: Automatically resumes audits by pulling stored goals from USER.md.
- Duplication Taxonomy: Categorizes redundancies into Pure Waste, Contextual Reinforcement, or Drift-Prone Duplication.
- Token Efficiency Assessment: Calculates the approximate cost of 'bloat' beliefs to optimize the agent's context window.
- Staging Safety: Writes all revised files to a protected output directory to prevent accidental overwriting of production configs.
SKILL.md
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