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skill-vetter

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=netease-youdao-lobsterai-skills-skill-vetter-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name skill-vetter version 1.0.0 description Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns. Skill Vetter 🔒 Security-first vetting protocol for AI agent skills. Never install a skill without vetting it first. When to Use Before installing any skill from ClawdHub Before running skills from GitHub repos When evaluating skills shared by other agents Anytime you're asked to install unknown code Vetting Protocol Step 1: Source Check Questions to answer: - [ ] Where did this skill come from? - [ ] Is the author known/reputable? - [ ] How many downloads/stars does it have? - [ ] When was it last updated? - [ ] Are there reviews from other agents? Step 2: Code Review (MANDATORY) Read ALL files in the skill. Check for these RED FLAGS : 🚨 REJECT IMMEDIATELY IF YOU SEE: ───────────────────────────────────────── • curl/wget to unknown URLs • Sends data to external servers • Requests credentials/tokens/API keys • Reads ~/.ssh, ~/.aws, ~/.config without clear reason • Accesses MEMORY.md, USER.md, SOUL.md, IDENTITY.md • Uses base64 decode on anything • Uses eval() or exec() with external input • Modifies system files outside workspace • Installs packages without listing them • Network calls to IPs instead of domains • Obfuscated code (compressed, encoded, minified) • Requests elevated/sudo permissions • Accesses browser cookies/sessions • Touches credential files ───────────────────────────────────────── Step 3: Permission Scope Evaluate: - [ ] What files does it need to read? - [ ] What files does it need to write? - [ ] What commands does it run? - [ ] Does it need network access? To where? - [ ] Is the scope minimal for its stated purpose? Step 4: Risk Classification Risk Level Examples Action 🟢 LOW Notes, weather, formatting Basic review, install OK 🟡 MEDIUM File ops, browser, APIs Full code review required 🔴 HIGH Credentials, trading, system Human approval required ⛔ EXTREME Security configs, root access Do NOT install Output Format After vetting, produce this report: SKILL VETTING REPORT ═══════════════════════════════════════ Skill: [name] Source: [ClawdHub / GitHub / other] Author: [username] Version: [version] ─────────────────────────────────────── METRICS: • Downloads/Stars: [count] • Last Updated: [date] • Files Reviewed: [count] ─────────────────────────────────────── RED FLAGS: [None / List them] PERMISSIONS NEEDED: • Files: [list or "None"] • Network: [list or "None"] • Commands: [list or "None"] ─────────────────────────────────────── RISK LEVEL: [🟢 LOW / 🟡 MEDIUM / 🔴 HIGH / ⛔ EXTREME] VERDICT: [✅ SAFE TO INSTALL / ⚠️ INSTALL WITH CAUTION / ❌ DO NOT INSTALL] NOTES: [Any observations] ═══════════════════════════════════════ Quick Vet Commands For GitHub-hosted skills: # Check repo stats curl -s "https://api.github.com/repos/OWNER/REPO" | jq '{stars: .stargazers_count, forks: .forks_count, updated: .updated_at}' # List skill files curl -s "https://api.github.com/repos/OWNER/REPO/contents/skills/SKILL_NAME" | jq '.[].name' # Fetch and review SKILL.md curl -s "https://raw.githubusercontent.com/OWNER/REPO/main/skills/SKILL_NAME/SKILL.md" Trust Hierarchy Official OpenClaw skills → Lower scrutiny (still review) High-star repos (1000+) → Moderate scrutiny Known authors → Moderate scrutiny New/unknown sources → Maximum scrutiny Skills requesting credentials → Human approval always Remember No skill is worth compromising security When in doubt, don't install Ask your human for high-risk decisions Document what you vet for future reference Paranoia is a feature. 🔒🦀
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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