SKILLEMALL.ai

BF weibo-hot-with-your-taste

抓取微博热榜,根据用户偏好定制化推送热点话题,视情进行信息补全。特性:用户偏好交互式访谈,推送质量即时反馈,特征规则自优化。关键词:微博热榜 / 态势快报 / 私人定制 / grill taste / self-adaptive taste feature

ClawHub Agent Skills author: zify9000 v0.1.0 MIT-0 2 files body ≈ 2 378 tokens Open the sourceclawhub.ai analyzed 3 d ago

抓取微博热榜,根据用户偏好定制化推送热点话题,视情进行信息补全。特性:用户偏好交互式访谈,推送质量即时反馈,特征规则自优化。关键词:微博热榜 / 态势快报 / 私人定制 / grill taste / self-adaptive taste feature

As a process F 35/100 · Will not run — References files that are not bundled: scripts/env/, scripts/config/taste.yaml, scripts/data/pushed_topics.jsonl

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/env/, scripts/config/taste.yaml, scripts/data/pushed_topics.jsonl
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 0. 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")
  • warning missing-ref reference to a missing file: scripts/env/
  • warning missing-ref reference to a missing file: scripts/config/taste.yaml
  • warning missing-ref reference to a missing file: scripts/data/pushed_topics.jsonl
  • note frontmatter-key unknown frontmatter key "url"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/env/, scripts/config/taste.yaml, scripts/data/pushed_topics.jsonl
  • 0Tools and files. 3 referenced file(s) missing: scripts/env/, scripts/config/taste.yaml, scripts/data/pushed_topics.jsonl
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 100Steps. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2378 tokens
  • 100Progress reporting. Reports progress

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
  • +2Single-language instructions
  • +3Description length 128: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (12 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
The skill’s goal is coherent, but it asks the agent to store and reuse sensitive API secrets and Weibo session cookies locally and to run scheduled workflows with limited scoping guidance.
LLM: suspicious (high) · VirusTotal: · 26 Jun 2026