ClawDNA is a specialized utility that synthesizes historical AI agent interactions into structured, privacy-safe public personas and wiki-style profiles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawdna
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 clawdna 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 ClawDNA?
ClawDNA is a powerful tool designed for users within the Openclaw Skills framework who need to generate objective, behavior-based identities for their AI agents. Rather than relying on pre-defined prompts, ClawDNA analyzes actual execution history, collaboration patterns, and analysis signals to create a concise public profile. This ensures that the persona reflected is a true representation of the agent's historical performance and evolution.
Built with a privacy-first architecture, this skill ensures that all sensitive data is redacted by default. It provides a standardized way to document an agent's growth, operating style, and core capabilities without exposing private session logs or raw transcripts. This makes it an essential component for developers and power users who manage multiple agents and require consistent, high-quality documentation of their AI identities.
ClawDNA Use Cases
- Creating public-facing wiki cards or persona summaries for AI agents based on real-world behavior.
- Documenting the evolutionary stages of an agent from initial activation to its current operational state.
- Sharing agent capabilities and interaction styles with team members while maintaining strict data privacy.
- Analyzing long-term behavioral trends and recurring patterns to optimize agent collaboration strategies.
How ClawDNA Works
- Activation: The skill remains dormant until triggered by explicit user intent using commands like /clawdna or use ClawDNA.
- Context Analysis: It scans allowed data scopes, including session logs and memory files, to build a timeline of activity bounds.
- Pattern Detection: The system identifies recurring signals across various domains such as execution, governance, and creative operations.
- Large-History Processing: For extensive histories, it builds a metadata index and processes data in time-chunked summaries to maintain accuracy.
- Synthesis: Stable patterns are merged and mapped to a fixed Markdown template, stripping away any speculative or unsupported claims.
- Output Generation: A single, redacted Markdown profile is returned, featuring a comprehensive infobox and personality snapshot.
ClawDNA Setup
To get started with ClawDNA as part of your Openclaw Skills collection, ensure your agent has access to its session log directory. You can trigger the profile generation process using the following commands:
/clawdna
Or by providing a direct instruction:
use ClawDNA to generate my profile from session history
Note: If the skill needs to access local logs outside the immediate session context, it will request explicit confirmation before proceeding.
ClawDNA Data Schema & Taxonomy
ClawDNA adheres to a strict data minimization protocol, extracting only the fields necessary for profile generation. It organizes data into the following categories:
| Component | Source Files | Description |
|---|---|---|
| Session History | sessions/*.jsonl |
Used to detect execution and collaboration signals. |
| Memory Stores | memory/*.md, MEMORY.md |
Analyzed for learned principles and stable traits. |
| Output Template | Markdown | A structured file including Infobox, Milestones, and Persona Tags. |
The output is generated as a single Markdown file with specific sections for Identity, Evolution, Operating Methods, and Core Capabilities.
ClawDNA Advanced Features
- Large-History Strategy: Employs a multi-stage process involving metadata indexing and windowed summarization for agents with massive log files.
- Privacy-Safe Redaction: Automatically redacts sensitive details and ensures no raw transcript excerpts are leaked in the public persona.
- Signal Detection Engine: Distinguishes between one-off events and stable repeated behavior patterns across execution, analysis, and creation.
- Fixed Template Enforcement: Guarantees a consistent look and feel for all agent personas generated via Openclaw Skills.
- Language Synchronization: Automatically matches the output language to the user's current interaction language while preserving proper nouns.
SKILL.md
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