SKILLEMALL.ai

AC yoooclaw-world-cup-match-talk-scene

用于生成世界杯足球比赛谈资包,并支持标准化场景输入与通知调取。当用户需要准备世界杯比赛谈资、球迷群聊素材、线下观赛话术、社媒文案,或指定输出「30秒看懂这场球」「这场球的主要看点」「这场球大家在聊什么」「这场球的装逼话术」「生成这场球的朋友圈文案」等模块时使用。支持中文公开体育渠道检索;当请求涉及通知、球迷群、观赛群、手机提醒时,通过 openclaw ntf search 主动查询手机通知并提炼相关信号。

ClawHub Agent Skills author: vivalavida-say-hi v1.0.4 MIT-0 8 files body ≈ 1 266 tokens Open the sourceclawhub.ai analyzed 2 d ago

用于生成世界杯足球比赛谈资包,并支持标准化场景输入与通知调取。当用户需要准备世界杯比赛谈资、球迷群聊素材、线下观赛话术、社媒文案,或指定输出「30秒看懂这场球」「这场球的主要看点」「这场球大家在聊什么」「这场球的装逼话术」「生成这场球的朋友圈文案」等模块时使用。支持中文公开体育渠道检索;当请求涉及通知、球迷群、观赛群…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
51/100
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: 8. 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 51/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1266 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 205: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This skill is mostly a disclosed World Cup talking-points helper, but it can read broad phone notifications without clear consent or source limits.
LLM: suspicious (high) · 18 Jun 2026