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在 OpenClaw 中安装
/install weclone-twin-reply
功能描述
Build a review-gated digital twin reply from persona markdown, persona examples, and live conversation context. Use when you need to imitate a specific user'...
安全使用建议
This skill looks internally coherent, but review these practical points before installing: (1) The renderer will include any .md files in the ai_twin/ directory (and any files you pass as extra context) into the generated prompt — don't store secrets or unrelated confidential text in that directory. (2) The rendered prompt may be sent to an LLM; audit persona and scene content for private data before doing so. (3) The skill relies on a manual approval gate — keep that enabled if you don't want automatic sending. (4) Be mindful of legal and ethical issues when imitating real people; ensure you have consent. If you want higher assurance, inspect the persona files and the included scripts locally (they are small and readable) before use.
功能分析
Type: OpenClaw Skill
Name: weclone-twin-reply
Version: 0.1.0
The weclone-twin-reply skill is designed to generate persona-consistent chat drafts by aggregating local markdown files (profile, examples, guardrails) and conversation context into a template. The workflow explicitly requires human review and approval before any outbound communication occurs, and the Python script (render_clone_prompt.py) performs standard file reading and string manipulation without any network calls, shell execution, or unauthorized data access.
能力评估
Purpose & Capability
The name and description match the actual behavior: the SKILL reads persona markdown files and runtime context, runs a local Python renderer, and outputs an isolated prompt for drafting replies. Required binaries (python3) and required files (profile.md, persona_examples.md, guardrails.md) are proportionate to the stated task.
Instruction Scope
SKILL.md instructs only to gather minimal context, validate persona files, render the isolated prompt via the included script, produce a draft with risk flags, and require explicit user approval before sending. It does not instruct reading unrelated system files or exfiltrating data. The script does read all .md files in the persona directory (as extras) and any files passed via --extra-context, which is consistent with the stated workflow but means persona dirs should not contain secrets.
Install Mechanism
No install spec is present (instruction-only with one bundled script). This is low-risk: nothing is downloaded or written by an installer; the only runtime requirement is python3.
Credentials
The skill declares no required environment variables, credentials, or config paths. It operates on local markdown files and produces a prompt. No secrets are requested by the skill itself.
Persistence & Privilege
always is false and the skill does not request persistent/system-level privileges or modify other skills. The default ability for the agent to invoke the skill autonomously (disable-model-invocation: false) is normal and not problematic here given the other constraints; the SKILL.md emphasizes an explicit approval gate before any send.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install weclone-twin-reply - 安装完成后，直接呼叫该 Skill 的名称或使用
/weclone-twin-reply触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Initial release of weclone-twin-reply.
- Enables drafting review-gated digital twin replies using persona markdown files, examples, and live conversation context.
- Enforces explicit user approval before sending any drafted message.
- Requires a filled persona pack directory (`profile.md`, `persona_examples.md`, `guardrails.md`, optional `state.md`) to operate.
- Provides scripts to render a full prompt package based on both persona files and runtime context (`scene.md` and `dialogue.md`).
- Applies strict guardrails and safety checks, including privacy and ambiguity management, before drafting or sending any reply.
元数据
常见问题
Weclone Twin Reply 是什么？
Build a review-gated digital twin reply from persona markdown, persona examples, and live conversation context. Use when you need to imitate a specific user'... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 231 次。
如何安装 Weclone Twin Reply？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install weclone-twin-reply」即可一键安装，无需额外配置。
Weclone Twin Reply 是免费的吗？
是的，Weclone Twin Reply 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Weclone Twin Reply 支持哪些平台？
Weclone Twin Reply 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Weclone Twin Reply？
由 xming521（@xming521）开发并维护，当前版本 v0.1.0。
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