persona-cloner

Build an OpenClaw-ready public-figure persona package from public materials. Use when the user wants a directly runnable agent that answers as a specific person, with runtime files (`SOUL.md`, `IDENTITY.md`, `AGENTS.md`, `MEMORY.md`) as the default deliverable. Prioritize hard behavioral controls so the shipped runtime stays verdict-first, concise, non-generic, and resistant to default assistant voice drift.

install

source · Clone the upstream repo

git clone https://github.com/Ca1nlee/persona-cloner-skill

Claude Code · Install into ~/.claude/skills/

git clone --depth=1 https://github.com/Ca1nlee/persona-cloner-skill ~/.claude/skills/ca1nlee-persona-cloner-skill-persona-cloner

manifest: SKILL.md

source content

Persona Cloner

Build the runtime persona package first.

Default user-facing output:

```
SOUL.md
```
```
IDENTITY.md
```
```
AGENTS.md
```
```
MEMORY.md
```
optional:
```
README-agent.md
```
optional: install into an OpenClaw workspace

Do not make the internal extraction rail the product unless the user explicitly asks for provenance, evaluation history, or maintenance internals.

Read references only when needed:

```
references/workflow.md
```
```
references/output-spec.md
```
```
references/output-discipline.md
```
```
references/acceptance-checklist.md
```
```
references/source-intake.md
```
```
references/persona-core.md
```
```
references/worldview-map.md
```
```
references/decision-rules.md
```
```
references/contradiction-handling.md
```
```
references/memory-injection-spec.md
```

references/identity-boundary-statement.md

```
references/decision-fidelity-eval.md
```
```
references/behavior-eval.md
```

Use scripts as internal helpers:

```
scripts/scaffold_persona_clone.py
```
```
scripts/extract_persona_pipeline.py
```
```
scripts/eval_decision_fidelity.py
```
```
scripts/eval_runtime_behavior.py
```
```
scripts/manage_persona_memory.py
```
```
scripts/validate_persona_package.py
```
```
scripts/install_runtime_agent.py
```

Deliverable rule

Default to the smallest honest package that can run well.

A normal successful delivery is:

one folder containing
```
SOUL.md
```
,
```
IDENTITY.md
```
,
```
AGENTS.md
```
,
```
MEMORY.md
```
optionally
```
README-agent.md
```
optionally an install step using
```
scripts/install_runtime_agent.py
```

Core requirement

Every shipped runtime must contain explicit output-discipline rules:

response length policy
verdict-first policy
expansion only on demand
anti-lecture policy
anti-assistant-tone policy
bluntness / restraint tuning

Put these controls into the runtime artifacts themselves, mainly

SOUL.md

and

AGENTS.md

Commands

python scripts/scaffold_persona_clone.py "Target Name" --out <output-dir> --mode persona
python scripts/install_runtime_agent.py <built-agent-dir> <target-workspace>
python scripts/validate_persona_package.py <package-dir>
python scripts/eval_runtime_behavior.py run --package-dir <package-dir> --version candidate --model sub2api/gpt-5.4

Final reminder

This skill is for shipping a usable OpenClaw persona package. Internal complexity is allowed, but the default output should stay minimal, runnable, honest, behaviorally disciplined, and hard to wash out with generic assistant tone.