Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/huangwb8/skillsnpx agentmods add skills/huangwb8/skills/find-best-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/huangwb8/skills/find-best-skill)<a href="https://agentmods.dev/skills/huangwb8/skills/find-best-skill"><img src="https://agentmods.dev/badge/skills/huangwb8/skills/find-best-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/huangwb8/skills/find-best-skill"><img src="https://agentmods.dev/badge/skills/huangwb8/skills/find-best-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.03553 |
| Opus 5 | $0.00033 | $0.01776 |
| Sonnet 5 | $0.00013 | $0.00711 |
| Haiku 4.5 | $0.00007 | $0.00355 |
Grade A, and why
find-best-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 406 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Best Skill
目标
当用户明确要求"搜索技能"、"寻找 Agent Skill"、"查找某个领域的 skill"、"推荐最佳 skill"时使用。支持多平台搜索（GitHub、SkillsMP、Reddit）和社区/AI 双维度评价，推荐数量可根据用户指令动态调整（默认 5-10 个，支持 3-20 个）。⚠️ 不适用：用户只是询问"有没有某个技能"（应直接回答）、只是想了解技能列表（应直接列举）、没有明确"搜索/寻找/查找/推荐"意图。
流程
输入
使用场景
当用户需要：
- 寻找特定功能的 Agent Skill
- 了解社区中某个领域的最佳实践方案
- 对比不同技能的优劣
- 发现已有技能的替代方案
依赖关系
可选依赖：
- get-review-theme skill：用于需求解构（第 1 步）
- 如果用户未安装该 skill，可直接分析用户需求提取主题和关键词
执行步骤
核心工作流
1. 需求解构
分析用户需求，提取核心主题和关键词：
优先使用 get-review-theme skill（如已安装）：
/skill get-review-theme "用户原始需求描述"
如未安装：直接分析用户需求，从用户输入中提取核心主题、关键词、具体问题。
2. 缓存查询
优先检查本地缓存，快速匹配历史技能：
# 使用缓存管理器搜索匹配技能
python scripts/cache_manager.py --search "关键词1" "关键词2" --limit 10
说明：
- 默认缓存参数来自
config.yaml:cache（单一真相来源） - CLI 参数（如
--cache-dir）会覆盖config.yaml
命中策略：
| 情况 | 处理方式 |
|---|---|
| 有命中 | 展示本地结果 → 询问用户"是否联网扩展？" → 用户选择 |
| 无命中 | 直接进入联网搜索（第 3 步） |
用户交互话术：
基于本地缓存，我找到 {N} 个相关技能：
{展示本地结果}
💡 发现 {N} 个候选，是否联网扩展搜索以获取更多最新结果？
- 回复"是"或"联网"进行在线搜索
- 回复"否"或"直接使用"直接输出以上结果
3. 社区调研
基于解构结果，使用 WebSearch 类工具或搜索类 MCP 工具（如 SearXNG、Tavily）进行多平台搜索。
搜索平台：
| 平台 | 搜索语法示例 | 搜索重点 |
|---|---|---|
| GitHub | site:github.com "SKILL.md" {关键词} |
开源项目、Stars、Forks |
| SkillsMP | site:skillsmp.com {关键词} skill |
技能市场、人气排序 |
| awesome-claude-skills | 直接访问 github.com/VoltAgent/awesome-claude-skills |
社区精选 |
site:reddit.com/r/ClaudeCode {关键词} |
用户讨论、真实反馈 |
搜索关键词组合（见 config.yaml:search_keywords）：
{topic} claude skill（如TDD claude skill）{topic} agent skill{topic} claude code
搜索示例：
# GitHub 搜索 TDD 相关技能
site:github.com "SKILL.md" TDD claude
# 搜索测试驱动开发技能
"test driven development" agent skill github
# Reddit 社区讨论
site:reddit.com/r/ClaudeCode TDD skill
辅助脚本（可选）：
# 生成研究检查清单模板
python scripts/get_skill_info.py "repo1,repo2,repo3"
4. 结果合并与缓存更新
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed · +9 lines · -67 tokens per session 102db5c72738
- 6d ago Changed · +30 lines 3b46a7aab25e
- 11d ago First seen · 367 lines · 133 tokens per session scan A ba0f312fd0f9
find-best-skill is a skill published in the GitHub repository huangwb8/skills (48 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 3,553 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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