SKILLEMALL.ai

CF dongchedi-user-search

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。

redfox-data/redfox-community Agent Skills author: redfox-data 5 files · 2 scripts body ≈ 2 289 tokens Open the sourcegithub.com↗ 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
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: 5. 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.