SKILLEMALL.ai

BF guaikei-kuaishou-ops-tool

快手(Kuaishou)公开数据一键采集|支持关键词搜视频、博主作品抓取、视频评论获取三大能力,输出结构化 JSON,可直接衔接选题调研、竞品监控与舆情分析。Kuaishou public data: search, creator posts, comments.

ClawHub Agent Skills author: engheng-art v1.0.0 MIT-0 22 files body ≈ 1 594 tokens Open the sourceclawhub.ai analyzed 3 d ago

快手(Kuaishou)公开数据一键采集|支持关键词搜视频、博主作品抓取、视频评论获取三大能力,输出结构化 JSON,可直接衔接选题调研、竞品监控与舆情分析。Kuaishou public data: search, creator posts, comments.

As a process F 31/100 · Will not run — References files that are not bundled: scripts/kuaishou/...

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: scripts/kuaishou/...
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: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: 快手(Kuaishou)公开数据一键采集|支持关键词搜视频、博主作品抓取、视频评论获取三大能力,输出结构化 JSON,可直接衔接选题… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • 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/kuaishou/...
  • note frontmatter-key unknown frontmatter key "title"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: scripts/kuaishou/...
  • 0Tools and files. 1 referenced file(s) missing: scripts/kuaishou/...
  • 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
  • 40Consistency. Frontmatter name (guaikei-kuaishou-ops-tool) differs from the folder (guaikei-kuaishou-creator-finder)
  • 100Steps. 67 steps
  • 100Execution cost. Instruction body is 1594 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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
  • +4No input/output examples
  • -226 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 133: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 67 items
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: clean
This skill is a disclosed Kuaishou public-data collection tool that calls a third-party API and saves local result logs, with no evidence of hidden execution or malicious behavior.
LLM: benign (high) · VirusTotal: · 8 Sept 2026