SKILLEMALL.ai

BB tophot

用于拉取并展示热点内容(接口为 https://hotspot.api4claw.com/hotspots/platform/{平台名}?timestamp=$TIME_STEMP,返回 JSON 数组)。按 source_name 分组标题。默认会提示用户创建定时任务(不自动执行),在用户确认后提供 cron 注册命令。不使用本地 user_id。适用于用户查询每日热点、微博热点、新闻联播、知乎热点、腾讯早报、服务状态、按 source_name 分组标题,或由已存在的定时消息触发执行。触发词:"今日热点", "每日热点", "热点", "微博热点", "新闻联播", "知乎热点", "腾讯早报"。

ClawHub Agent Skills author: xltang v0.1.2 MIT-0 2 files body ≈ 1 589 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 73/100 · Nearly there — weak spots: when it triggers, running it twice, progress reporting

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
B
73/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
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: 2. 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")
  • note frontmatter-key unknown frontmatter key "required_tools"
  • note frontmatter-key unknown frontmatter key "optional_tools"
  • note frontmatter-key unknown frontmatter key "network_access"
  • note frontmatter-key unknown frontmatter key "side_effects"

Process rating: all ten parameters 73/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 78 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1589 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 304: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 78 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill fetches hotspot/news lists from a declared API and does not install code or run background jobs unless the user approves scheduling.
LLM: benign (high) · VirusTotal: · 29 May 2026