AC twitter-hot-topics
每小时自动搜索推特上关于中国、加密货币、国际热点、美国热点、特朗普等话题的热度信息，提取排行前十的热点，并基于 X 平台真实算法权重（开源代码数据）为每个热点生成高曝光推文或线程。当用户提到"推特热点"、"Twitter热点"、"推特搜索"、"热点推文"、"生成推文"、"社交媒体监控"、"Twitter监控"、"推文生成"、"热门话题"、"推特监控"等关键词时，必须使用此技能。即使用户只说"帮我写推文"或"查推特热点"也要触发此技能。
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: 4. 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. 52 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 905 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
- -228 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 219: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 52 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: suspicious
This skill is not malware, but it asks for recurring Twitter/X trend monitoring with broad automatic triggers and unclear user control.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026