AC yoooclaw-hotspot-topic-scout
当用户希望从消息通知和全网热点中快速筛出值得跟进的热点选题、爆款参考、竞品动态和粉丝需求时使用；适用于内容创作者、主编、运营负责人做"昨天有什么值得追""哪些能转成我赛道的内容""给我直接的选题建议"这类任务。典型触发句子：'帮我筛一下昨天有什么热点可以做选题'、'昨天行业里有什么新动向，帮我按相关度排个序'、'看看群里和推送里有没有值得跟的话题'、'按我的内容定位找今天能做的素材'。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription 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. 50 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 806 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 194: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 50 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: suspicious
The skill is coherent for scouting content topics, but it reads broad phone notification and group-chat content and can mix those private signals with web searches without enough scoping or privacy controls.
LLM: suspicious (medium) · 7 Aug 2026