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跨平台资源搜索编排器。搜索 skill、MCP 服务器、提示词模板、开源项目。 覆盖 skills.sh、ClawHub、SkillHub、AI Skills Show、MCPServers.org、 prompts.chat、GitHub 等 14+ 个聚合站。 触发场景：用户说"找个xxx工具"、"有没有xxx skill"、"帮我搜xxx MCP"、 "找提示词"、"有什么好用的xxx"，或显式调用 /find-everything。 也会在检测到用户持续做某类任务且缺少相关工具时主动推荐（每会话最多 1 次）。

ClawHub Agent Skills author: ZadAnthony v0.1.0 MIT-0 6 files body ≈ 982 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
84
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Instruction override en-ignore-previous references/security-checklist.md:11
    Instruction-override phrase ("ignore previous instructions") (documentation table row; documentation of a security skill)
    | "ignore previous instructions" | 出现在安全文档/教学材料中 | 降级为 info |
    tablesecurity skill

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 982 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (3 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 262: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: suspicious
This is a real resource-search skill, but it also runs shell-based searches, can install found resources, and can persistently change its source registry with loose safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026