SKILLEMALL.ai

AC competition-assistant

大学生竞赛助手 — 提供赛事月历生成与组队匹配服务。触发场景:(1) 用户询问比赛信息、赛事日程、近期竞赛、"汇总比赛"、"赛事月历"、"有哪些比赛"等;(2) 用户需要组队找队友、"匹配比赛队伍"、"找队友"、"帮我匹配"、描述组队需求如"我想找互联网+的队友"或"有没有人在做挑战杯缺人"。功能包括:实时获取教育部认可84项学科竞赛的报名时间、比赛时间;跨会话持久化的组队需求管理与智能匹配推荐。

ClawHub Agent Skills author: smallKeyboy v1.0.2 MIT-0 5 files body ≈ 553 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
53/100
Has gaps
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 · 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 42 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 553 tokens
  • 100Running it twice. No mutating operations

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 3 example trigger phrases
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 42 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 skill’s competition lookup purpose is legitimate, but its matchmaking feature stores and can expose raw student contact details more broadly than users would expect.
LLM: suspicious (high) · 28 May 2026