Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ZadAnthony/find-everything --skill skillgit clone --depth 1 https://github.com/ZadAnthony/find-everythingWrote 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/zadanthony/find-everything/skill)<a href="https://agentmods.dev/skills/zadanthony/find-everything/skill"><img src="https://agentmods.dev/badge/skills/zadanthony/find-everything/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/zadanthony/find-everything/skill"><img src="https://agentmods.dev/badge/skills/zadanthony/find-everything/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00146 | $0.02095 |
| Opus 5.5 | $0.00058 | $0.00838 |
| Sonnet 5.5 | $0.00029 | $0.00419 |
| Haiku 4.5 | $0.00015 | $0.00210 |
Grade A, and why
find-everything 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 2mo 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
find-everything:跨平台资源搜索
触发条件
- 显式调用:
/find-everything {query} - 自动检测:用户问"有没有xxx工具"、"帮我找个xxx"、"有没有skill能..."
- 主动推荐:基于对话上下文判断用户在持续做某类任务且缺少相关工具(best-effort 启发式,同会话最多 1 次)
执行流程
Step 1: 意图分类
将用户查询分类为一个或多个类别:
- skill: Agent Skills(可安装技能)
- mcp: MCP Servers
- prompt: 提示词模板/角色扮演/图片生成
- repo: GitHub 开源项目
模糊需求同时搜索多个类别。从自然语言中提取核心搜索关键词。
Step 2: 读取注册表并路由
读取 references/registry.json。若读取失败,使用以下硬编码最小源:
- skills-sh:
npx skills find {query} - github:
gh search repos {query} --sort stars --limit 10 --json name,owner,description,url,stargazersCount
筛选规则:
- 只选
enabled: true的源 - 只选
category包含目标类别的源 - 检查
requires是否满足:requires为 CLI 名称(如npx、gh)→ 用which检查requires以mcp:开头(如mcp:prompts-chat)→ 检查对应 MCP tool 是否在当前会话可用(尝试 ToolSearch 或直接调用)
- 不可用的源跳过,记录到
skipped_sources列表,附带install_hint(如有)
Step 3: Tier 1 搜索
在同一条回复中发起多个独立 tool 调用实现并行:
cli 类型:用 Bash tool 执行 command 字段({query} 替换为实际关键词),15 秒超时。
mcp 类型:调用 registry.json 中 tool 字段指定的 MCP tool,参数取 tool_params({query} 替换为实际关键词)。例如:
search_prompts({ query: "blockchain analyst", limit: 10 })→ 返回 prompt 列表search_skills({ query: "search aggregator", limit: 10 })→ 返回 skill 列表- 支持的额外过滤参数(按需使用):
type(TEXT/STRUCTURED/IMAGE)、category、tagskill 类型:调用对应已安装 skill。
若并行不可用,按优先级执行:skills-sh > github > clawhub > 其他。
Step 4: 结果数量预判
基于标题/描述的关键词匹配做轻量判断(非完整 LLM 评估):
- ≥3 条匹配度高 → 跳到 Step 6(末尾注明"搜索更多源可获取更多结果")
- <3 条或匹配度低 → 继续 Step 5
Step 5: Tier 2/3 搜索
Tier 2:将同类别 Tier 2 源合并为 1 次 WebSearch:
{query} {category关键词} site:skillhub.club OR site:aiskillsshow.com OR site:skillsmp.com
若合并查询返回 <2 条,退回对 Top 2-3 优先源逐个 site: 搜索。
Tier 3(仍不足时):不带 site: 限定的广域 WebSearch。
Step 6: 结果评估
对每条结果判断相关性:
- 高相关:保留,排在前面
- 中相关:保留,排在后面,标注"可能相关"
- 不相关:丢弃
对 Top 3-5 条高相关结果,可选 WebFetch 补充详情。
Step 7: 安全快筛
对所有保留结果做元数据安全标注:
- [SAFE]:来自注册表已知平台 + 安装量 >100
- [CAUTION]:安装量低、来源不明、或 Tier 3 发现
- [RISK]:名称疑似 typosquat,或其他红旗信号
What ships with it
4 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.
- 2mo ago First seen · 167 lines · 146 tokens per session scan A a4fb6a08ceb4
find-everything is a skill published in the GitHub repository ZadAnthony/find-everything (5 stars, last pushed 7mo ago), licensed MIT. It adds 146 tokens to every session and 2,095 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-31.
find-everything compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| find-everythingZadAnthony/find-everything | Skill | 5 | 7mo ago | MIT | A | 146 | Claude Code, Codex |
| deep-researchSECRET4422/mcp-deep-research-server | Skill | 1 | 23d ago | MIT | A | 64 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| android-pentestNetw0rkNoob/VulnClaw | Skill | 3.9k | 7d ago | MIT | A | 32 | Claude Code, Codex |
| redteam-web-detail-packNetw0rkNoob/VulnClaw | Skill | 3.9k | 7d ago | MIT | A | 38 | Claude Code, Codex |
| schedule-querychrisblattman/claudeblattman | Skill | 476 | yesterday | MIT | A | 17 | Claude Code |
| manage-schemasjpicklyk/task-orchestrator | Skill | 213 | yesterday | MIT | A | 194 | Claude Code |