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simp-dog-skill

作者 Brother-Yang · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
69
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install simp-dog-skill
功能描述
Distill a simp dog into an AI Skill. Import WeChat history, generate Simping Memory + Persona, with continuous evolution. | 把舔狗蒸馏成 AI Skill,导入微信聊天记录、朋友圈,生成舔狗...
安全使用建议
What to consider before installing or running this skill: - Privacy: This tool processes chat exports and photos and writes them to ./simps/{slug}/. Only provide data you own and are comfortable storing locally; do NOT import other people's private chats without consent. Photo EXIF extraction can reveal GPS/locations — remove or inspect the photo analyzer if you do not want that. - Code review: The repository contains multiple unusual token/typo patterns (e.g., 'simpif', 'simpcept') and the pre-scan flagged unicode control characters in SKILL.md. These could be accidental or attempts to evade scanners. Manually review the SKILL.md and all tools for hidden characters or unexpected code paths (especially any network calls or subprocess invocations) before running. - Limit automatic activation: skill_writer.combine writes the generated SKILL.md and also syncs a copy into .trae/skills to make the new skill active immediately. If you do not want automatic activation, remove or disable the sync-to-.trae lines in tools/skill_writer.py before running. - Run offline and sandboxed: Run the scripts in an isolated environment without network access (or after auditing) to prevent unexpected exfiltration. Prefer running on synthetic/sample data first. - Reduce attack surface: If you don't need photo metadata or certain parsers, delete or disable tools/photo_analyzer.py and any functionality you won't use (this reduces risk from GPS extraction and buggy libraries). - Verify dependencies: Only Pillow is optional; if installed, ensure you install it from PyPI in a virtualenv. Check requirements.txt and avoid running as root. - Consider governance: Because the agent can invoke skills autonomously, if you are worried about the agent creating/updating skills autonomously, disable autonomous invocation for this skill (or keep it user-invocable only) in your agent settings. If you are not comfortable auditing the code or cannot run it sandboxed, treat this package as potentially risky and avoid installing or running it with real personal data.
功能分析
Type: OpenClaw Skill Name: simp-dog-skill Version: 1.0.0 The skill bundle requests broad permissions (Bash, Read, Write, Edit) to process sensitive personal data, including WeChat/QQ chat logs and photo metadata. While the stated purpose is roleplay, the included Python tools (e.g., wechat_parser.py, photo_analyzer.py) have been thematically corrupted via a global find-and-replace (e.g., 'except' replaced with 'simpcept', 'ext' with 'simpt'), resulting in syntax errors and non-functional code. Furthermore, the skill writes generated sub-agents directly into IDE configuration directories (.trae/skills/) and utilizes 'Layer 0' prompt injection instructions to enforce extreme submissiveness, which, although thematic, represents a high-risk pattern for environment modification and agent hijacking.
能力评估
Purpose & Capability
Name/description match the implementation: the SKILL.md and included Python tools parse WeChat/QQ/social exports, analyze photos, build memory/persona, and write a new skill under ./simps/{slug}/. The file-writing, versioning, and listing utilities are coherent with the stated goal. The manifest does not request unrelated cloud credentials or system-wide access.
Instruction Scope
Runtime instructions explicitly tell the agent to read user-supplied chat exports, images, and text, run bundled Python parsers, and write new SKILL.md + memory/persona files. This matches purpose but includes actions with sensitive data (chat logs, photo EXIF/GPS). Also the skill_writer creates/synchronizes generated SKILL.md into a .trae/skills path so generated skills become active immediately — the instructions therefore modify local agent skill state. SKILL.md contains a detected 'unicode-control-chars' injection signal (pre-scan), and several code files show unusual token typos (e.g., 'simpif', 'simpcept') that look like obfuscation or accidental find/replace; that increases risk because it may hide intent or evade scanners.
Install Mechanism
No registry install spec is enforced by the registry entry (instruction-only), but INSTALL.md suggests cloning from GitHub (standard) and pip installing optional dependencies (Pillow). No downloads from obscure hosts or URL shorteners are present. The code bundle is included in the package; installing implies executing local Python scripts, which is expected but you should audit them first.
Credentials
The skill declares no required environment variables, binaries, or external credentials — proportional to its function. It does, however, process potentially sensitive local files (chat exports, photos) and can extract photo metadata including GPS, so the sensitivity of input data is high even if no secrets are requested.
Persistence & Privilege
always:false (good) and autonomous invocation is allowed by default. The notable behavior: skill_writer.combine writes generated SKILL.md and also writes a copy into a .trae/skills directory to make the new skill 'immediately effective' in Trae IDE. That modifies local agent configuration and can cause the agent to gain new capabilities automatically. Combined with autonomous invocation and file-write behavior, this raises a moderate persistence/privilege concern — the skill can create new skills locally without explicit additional approval unless the .trae sync behavior is removed or restricted.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install simp-dog-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /simp-dog-skill 触发
  4. 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
v1.0.0
Initial release of simp-dog-skill. - Create a fully interactive "Simp Dog" character Skill from chat history, with user-guided memory and personality extraction. - Supports both English and Chinese, with automatic language detection for responses. - Guides users through multi-step creation: basic info intake, chat/social record import, memory/persona analysis, and preview before file generation. - Grants continuous evolution: update, append, or correct the Simp Dog’s memory and behavior at any time. - Multiple management commands for listing, rollback, and removal of Simp Dogs. - Strict safety boundaries: privacy protection, no real-world contact, and reminders if unhealthy attitudes are detected. - All generated data is stored locally; nothing is uploaded.
元数据
Slug simp-dog-skill
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

simp-dog-skill 是什么?

Distill a simp dog into an AI Skill. Import WeChat history, generate Simping Memory + Persona, with continuous evolution. | 把舔狗蒸馏成 AI Skill,导入微信聊天记录、朋友圈,生成舔狗... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 69 次。

如何安装 simp-dog-skill?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install simp-dog-skill」即可一键安装,无需额外配置。

simp-dog-skill 是免费的吗?

是的,simp-dog-skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

simp-dog-skill 支持哪些平台?

simp-dog-skill 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 simp-dog-skill?

由 Brother-Yang(@brother-yang)开发并维护,当前版本 v1.0.0。

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