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PythonReactSEOPDF
OpenClaw

clawdna

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

buzuweidao0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install buzuweidao/clawdna

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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}...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/buzuweidao/clawdna
Version
—
Commit
0ce5978bc60fe891839df16c4f45551200735320
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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