← 返回 Skills 市场
fff
作者
sundayslove
· GitHub ↗
· v1.0.4
· MIT-0
103
总下载
0
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install skill-vetter1
功能描述
Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an exis...
安全使用建议
This package mostly looks like a legitimate 'skill creator' template with helper scripts (init_skill, package_skill, quick_validate) and tests. Before installing or executing any bundled scripts:
- Be aware of metadata mismatches: the registry name ('fff' / 'skill-vetter1') does not match SKILL.md ('skill-creator1') and skillhub.json versions differ; this is likely sloppy packaging but verify the author/source before trusting it.
- SKILL.md contains a 'tags' frontmatter key that the included quick_validate.py will treat as unexpected and may cause validation to fail; tests in the package mock/bypass the validator — don't rely on tests as evidence that packaging will succeed.
- The code manipulates the filesystem (reads/writes skill directories, creates .skill zip archives). Review package_skill.py and init scripts before running them to ensure they won't operate on paths you don't intend.
- There are duplicate/translated directories (测试中文/) and duplicated files; this is likely benign but increases the chance of stale or inconsistent code. Prefer running these scripts in an isolated environment (tempdir or container) and inspect the SKILL.md + quick_validate.py first.
If you need to package skills with this tool: either remove/adjust the unexpected frontmatter keys or update the validator to accept them, and run in an isolated environment. If you want higher assurance, ask the publisher for a canonical source (single consistent SKILL.md and matching metadata) and for clarification about the duplicated files.
功能分析
Type: OpenClaw Skill
Name: skill-vetter1
Version: 1.0.4
The bundle is a legitimate toolkit designed to help an AI agent create, validate, and package other OpenClaw skills. It contains instructional documentation (SKILL.md) and utility scripts (package_skill.py, quick_validate.py, and a Chinese-named initializer) that align perfectly with the stated purpose. Notably, the packaging script includes defensive security logic to skip symlinks and verify that files remain within the skill root, preventing potential path traversal or arbitrary file inclusion during the build process. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力标签
能力评估
Purpose & Capability
SKILL.md and the bundled Python scripts (init, package, quick_validate, tests) are coherent with a skill-creator / skill-packaging purpose. However, the registry-level metadata (top-level name 'fff', slug 'skill-vetter1', skillhub.json versions) and the SKILL.md frontmatter disagree (SKILL.md name is 'skill-creator1'), and there are duplicated files under different directories (e.g., 测试中文/ and skill-creator/). These mismatches are unexpected but could be sloppy bookkeeping rather than malicious.
Instruction Scope
The SKILL.md body confines itself to guidance for creating skills and does not instruct the agent to read unrelated system state, secrets, or external endpoints. One concern: the SKILL.md frontmatter contains a 'tags: official' field while the included quick_validate.py treats 'tags' as an unexpected key — this inconsistency means the validator may reject the SKILL.md unless altered or bypassed.
Install Mechanism
There is no install specification (instruction-only), which is low risk. Bundled resources include Python scripts and tests; there are no downloads, no external installers, and no network calls in the scripts reviewed. Scripts operate on the filesystem (packaging, validation), which is expected for this purpose.
Credentials
The skill requests no environment variables, no credentials, and no special config paths. The included scripts only require standard Python runtime and optionally PyYAML; they manipulate files and archives but do not access remote services or secrets.
Persistence & Privilege
The skill does not request permanent/always-on presence (always: false) and does not declare any elevated privileges or changes to other skills. It appears to be user-invocable only.
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 skill-vetter1 - 安装完成后,直接呼叫该 Skill 的名称或使用
/skill-vetter1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
v1.0.4
- Major update: Introduces skill creation, editing, and auditing capability.
- Added new guidance for creating, improving, and restructuring AgentSkills, including SKILL.md best practices.
- Bundled file and directory structure guidance to support scripts, references, and assets.
- Implements progressive disclosure principles to manage context and skill resource loading efficiently.
- Removed outdated `_meta.json` and migrated documentation to the new Skill Creator format.
- Added extensive examples, support for Chinese-language resources, and validation scripts.
v1.0.3
- Updated the skill name in documentation from "find-skill测试f" to "find----skill测试f"
- No other user-facing changes detected
v1.0.2
- Added a new _meta.json file.
- Updated SKILL.md: changed the skill name to "find-skill测试f".
- Minor formatting changes in SKILL.md, including improved link formatting.
v1.0.1
- Removed the _meta.json file from the skill package.
- No changes were made to the core skill functionality or documentation.
v1.0.0
find-skills v1.0.0 – Initial Release
- Introduces a skill to help users discover and install agent skills based on their needs.
- Provides guidance for recognizing when a user is seeking additional functionality.
- Explains how to search for skills using the Skills CLI and offers example command usage.
- Outlines steps for presenting and installing relevant skills to users.
- Includes tips for effective skill discovery and suggestions for situations where no matching skills are found.
元数据
常见问题
fff 是什么?
Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an exis... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 103 次。
如何安装 fff?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-vetter1」即可一键安装,无需额外配置。
fff 是免费的吗?
是的,fff 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
fff 支持哪些平台?
fff 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 fff?
由 sundayslove(@sundayslove)开发并维护,当前版本 v1.0.4。
推荐 Skills