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懂车帝用户搜索和作品订阅工具。输入关键词就能搜到懂车帝上的用户（作者）账号，粉丝数、简介一眼看清；选中想看的用户即可拉取他的作品列表，标题、类型、阅读、点赞、评论、收藏、发布时间全部呈现，每条作品点一下就能跳转原页；还支持订阅用户，每天自动推送 TA 昨日更新的作品。当用户需要搜索懂车帝用户、查找懂车帝作者/达人、查看懂车帝用户作品列表、订阅懂车帝用户更新、研究懂车帝创作者内容时使用。触发词：懂车帝、懂车帝用户、懂车帝作者、懂车帝作品、懂车帝账号、懂车帝搜索、懂车帝达人、懂车帝用户搜索、懂车帝订阅。

ClawHub Agent Skills author: RedFox v1.0.0 MIT-0 6 files · 2 scripts body ≈ 2 289 tokens Open the sourceclawhub.ai↗ analyzed 12 d ago

懂车帝用户搜索和作品订阅工具。输入关键词就能搜到懂车帝上的用户（作者）账号，粉丝数、简介一眼看清；选中想看的用户即可拉取他的作品列表，标题、类型、阅读、点赞、评论、收藏、发布时间全部呈现，每条作品点一下就能跳转原页；还支持订阅用户，每天自动推送 TA…

As a process F 33/100 · No process to follow — References files that are not bundled: profile_url, work_url

IntegrationSoftware developmentAI 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
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: profile_url, work_url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

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")
  • warning missing-ref reference to a missing file: profile_url
  • warning missing-ref reference to a missing file: work_url

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: profile_url, work_url
  • 0Tools and files. 2 referenced file(s) missing: profile_url, work_url
  • 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
  • 30Running it twice. 4 mutating operations with no state check
  • 100Steps. 48 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2289 tokens

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -235 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 252: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (8 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill is mostly coherent, but it disables HTTPS certificate checks while sending an API key and can create recurring daily automation tasks, so it should be reviewed before use.
LLM: suspicious (high) · 10 Oct 2026