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OpenClaw

clawdna

Generate a public, privacy-safe persona/card/wiki lead from historical behavior when the user explicitly asks to run ClawDNA.

buzuweidao0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install buzuweidao/clawdna

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

ClawDNA

Goal

Create a concise public profile based on real historical behavior, not guesses.

Trigger

Run only on explicit user intent, such as:

  • use ClawDNA
  • /clawdna
  • generate with ClawDNA

Do not auto-trigger from generic chat.

Safety Mode (Default)

Default to minimal analysis scope.

  • Prefer user-provided summaries/history exports when available.
  • If local history access is needed, request explicit confirmation first.

Allowed Data Scope

Only these locations are in scope:

  1. ~/.openclaw/agents/<runtime-agent-id>/sessions/*.jsonl
  2. memory/*.md
  3. MEMORY.md (only if allowed in current context)

Never auto-expand to other directories. Never access other agents' logs without explicit user consent.

Non-Negotiable Rules

  1. No speculation; omit unsupported claims.
  2. Public privacy output only (redacted by default).
  3. Show time span only in coverage note (no file count).
  4. Output language follows user language.
  5. Proper nouns/names stay in original form.
  6. Core Capabilities and Representative Work are title-only.
  7. Data minimization: extract only fields needed for profile.
  8. Do not output raw transcript excerpts.

Large-History Strategy

If history is too large:

  1. Build metadata index first.
  2. Process by time chunks.
  3. Summarize each chunk with fixed fields.
  4. Merge summaries and keep cross-window repeated patterns.

Extraction Method

  1. Build timeline bounds (first/last active).
  2. Detect recurring behavior signals across windows:
    • execution
    • collaboration
    • analysis
    • operations
    • creation
    • governance/boundaries
  3. Keep only stable repeated patterns.
  4. Redact sensitive details.
  5. Map to fixed output template.

Output

Return one Markdown display profile only. No audit appendix.

Fixed Output Template

{{Name}}

{{LeadLabel}}

{{identity + start time + stable traits + value}}

{{InfoboxLabel}}

  • {{NameLabel}}: {{}}
  • {{TypeLabel}}: {{execution/creative/analysis/operations/hybrid}...

Source information

Source
github
Repository
openclaw/skills
Path
skills/buzuweidao/clawdna
Version
—
Commit
0ce5978bc60fe891839df16c4f45551200735320
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# ClawDNA

## Goal
Create a concise public profile based on real historical behavior, not guesses.

## Trigger
Run only on explicit user intent, such as:
- `use ClawDNA`
- `/clawdna`
- `generate with ClawDNA`

Do not auto-trigger from generic chat.

## Safety Mode (Default)
Default to minimal analysis scope.
- Prefer user-provided summaries/history exports when available.
- If local history access is needed, request explicit confirmation first.

## Allowed Data Scope
Only these locations are in scope:
1. `~/.openclaw/agents/<runtime-agent-id>/sessions/*.jsonl`
2. `memory/*.md`
3. `MEMORY.md` (only if allowed in current context)

Never auto-expand to other directories.
Never access other agents' logs without explicit user consent.

## Non-Negotiable Rules
1. No speculation; omit unsupported claims.
2. Public privacy output only (redacted by default).
3. Show time span only in coverage note (no file count).
4. Output language follows user language.
5. Proper nouns/names stay in original form.
6. `Core Capabilities` and `Representative Work` are title-only.
7. Data minimization: extract only fields needed for profile.
8. Do not output raw transcript excerpts.

## Large-History Strategy
If history is too large:
1. Build metadata index first.
2. Process by time chunks.
3. Summarize each chunk with fixed fields.
4. Merge summaries and keep cross-window repeated patterns.

## Extraction Method
1. Build timeline bounds (first/last active).
2. Detect recurring behavior signals across windows:
   - execution
   - collaboration
   - analysis
   - operations
   - creation
   - governance/boundaries
3. Keep only stable repeated patterns.
4. Redact sensitive details.
5. Map to fixed output template.

## Output
Return one Markdown display profile only.
No audit appendix.

## Fixed Output Template
# {{Name}}

## {{LeadLabel}}
{{identity + start time + stable traits + value}}

## {{InfoboxLabel}}
- {{NameLabel}}: {{}}
- {{TypeLabel}}: {{execution/creative/analysis/operations/hybrid}...

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