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pengyouquan-pangyu
作者
rampagepeter
· GitHub ↗
· v1.0.2
1130
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当前安装
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版本数
在 OpenClaw 中安装
/install pengyouquan-pangyu
功能描述
Use when user mentions "胖鱼朋友圈" and wants to write a WeChat Moments post. Analyzes user's past writing style from reference materials, guides through a conversational process to understand sharing needs, then generates style-consistent copy for user confirmation. Triggered by keywords like 胖鱼朋友圈, 发胖鱼朋友圈, 写胖鱼朋友圈.
安全使用建议
This skill legitimately stores example posts and a short style summary, but its runtime instructions will: (1) automatically append incoming 'reference' text into references/posts.md (often without asking), and (2) perform file writes before sending a confirmation to the user. Before installing, consider whether you are comfortable with the agent automatically persisting anything you paste or send as a 'reference'. Ask where references/ will be stored (local vs. cloud) and who can access them. If you need stricter privacy, request that the skill be changed to always ask for explicit consent before saving, and to confirm with the user before performing any persistent write. Also ensure the platform's 'file write' tool is trusted and that stored files are not exposed to unintended parties.
功能分析
Type: OpenClaw Skill
Name: pengyouquan-pangyu
Version: 1.0.2
The skill is designed to help users write WeChat Moments posts by learning their writing style. It explicitly instructs the AI agent to read from and write to `references/posts.md` and `references/style.md` within its own skill bundle directory. These file operations are for accumulating user posts and generating style summaries, which is a legitimate function for a stateful, learning skill. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts aimed at subverting the agent for harmful purposes. The 'CRITICAL' instructions in SKILL.md are focused on ensuring the agent reliably performs the intended local file operations, not on malicious activities.
能力评估
Purpose & Capability
Name/description match behavior: accumulating past posts and a style summary is a reasonable requirement for a personalized 'write like me' Moments assistant. The only persistent artifacts are references/posts.md and references/style.md which are coherent with the stated purpose.
Instruction Scope
SKILL.md explicitly instructs the agent to append received reference material into references/posts.md immediately and without asking the user in many cases. It also mandates performing file writes before sending any confirmation reply. Those rules go beyond a neutral helper (they cause automated persistent storage of user messages and enforce a strict order of operations) and could lead to unintentionally saving private content. The instructions otherwise only reference the local references/ files and not unrelated system paths or env vars.
Install Mechanism
Instruction-only skill with no install spec and no code files. Lowest install risk; nothing will be downloaded or written by an installer step beyond the runtime file writes described in SKILL.md.
Credentials
No environment variables, credentials, or external endpoints are requested. The only resources required are the local references/ files, which align with the purpose of storing example posts and a style summary.
Persistence & Privilege
The skill asks to persistently write into its own references/ directory and enforces automatic writes (including appending user-sent reference content without confirmation in some cases). It does not request systemic privileges or modify other skills, nor is always:true set. Still, the forced write-before-reply behavior increases the chance of unintended persistent storage and should be considered before enabling.
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 pengyouquan-pangyu - 安装完成后,直接呼叫该 Skill 的名称或使用
/pengyouquan-pangyu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
v1.0.2
**Critical update: Enforces strict, auditable file operation rules and lowers the style summary threshold for a more reliable and responsive user experience.**
- 强化了文件写入操作规范,要求所有保存/积累行为必须实际写入文件,并严格要求「先写入、后确认」。
- 增加【CRITICAL: File Operation Rules】和写入顺序,明确 posts.md 只能追加、style.md 需覆盖且写入需带元数据。
- 风格总结(style.md)的触发门槛由5条降至3条文案,风格更新更加及时。
- 明确生成/更新风格总结时的逻辑、时机及流程,包括文案计数策略和用户请求优先。
- 优化积累材料与风格总结的判断、处理细节,确保材料积累和总结的可追溯性。
- 内容轻微精简,流程描述更清晰,保障每次对用户的承诺都兑现。
v1.0.1
- Renamed skill from "pengyouquan-template" to "pengyouquan-pangyu".
- Clarified handling of user reference materials: must write incoming reference posts to `references/posts.md` immediately, no longer just confirm in chat.
- Added detailed criteria for distinguishing between user reference materials and conversational input.
- Strengthened process for generating and updating style summaries with explicit user confirmation and immediate file updates to `references/style.md`.
- Stated when and how to prompt for style summary creation or update, depending on accumulation of posts.
- Emphasized operational discipline: always append to `posts.md`, only update `style.md` after explicit confirmation, and never miss file updates after user actions.
v1.0.0
胖鱼朋友圈文案助手 1.0.0 发布 — 轻松写出你的专属朋友圈文案
- 基于用户提供的文案风格,通过引导式对话定制朋友圈文案,像朋友聊天一样自然
- 每次生成文案前先了解你的分享内容与情感需求,确保表达准确贴合自己风格
- 支持积累你的历史文案和风格偏好,随着使用不断学习进化
- 积极引导细节回忆与个人表达,提升文案的感染力和画面感
- 允许随时添加和管理自己的风格与参考文案,生成风格总结
- 提供多版本文案选择,最终内容由你确认和修改,完全尊重你的意愿
元数据
常见问题
pengyouquan-pangyu 是什么?
Use when user mentions "胖鱼朋友圈" and wants to write a WeChat Moments post. Analyzes user's past writing style from reference materials, guides through a conversational process to understand sharing needs, then generates style-consistent copy for user confirmation. Triggered by keywords like 胖鱼朋友圈, 发胖鱼朋友圈, 写胖鱼朋友圈. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1130 次。
如何安装 pengyouquan-pangyu?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pengyouquan-pangyu」即可一键安装,无需额外配置。
pengyouquan-pangyu 是免费的吗?
是的,pengyouquan-pangyu 完全免费(开源免费),可自由下载、安装和使用。
pengyouquan-pangyu 支持哪些平台?
pengyouquan-pangyu 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 pengyouquan-pangyu?
由 rampagepeter(@rampagepeter)开发并维护,当前版本 v1.0.2。
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