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BD douyin-top-account

抖音每日最具影响力账号榜单追踪分析工具；日榜每日17:30更新/回溯7天，周榜每周一17:30更新/回溯3周，月榜每月2号9点更新/回溯3月；当用户需要查询抖音账号排名、抖音日榜/周榜/月榜、抖音赛道TOP账号或下载榜单报告时使用

ClawHub Agent Skills author: to the moon v1.0.2 MIT-0 12 files · 2 scripts body ≈ 1 398 tokens Open the sourceclawhub.ai↗ analyzed 12 d ago

抖音每日最具影响力账号榜单追踪分析工具；日榜每日17:30更新/回溯7天，周榜每周一17:30更新/回溯3周，月榜每月2号9点更新/回溯3月；当用户需要查询抖音账号排名、抖音日榜/周榜/月榜、抖音赛道TOP账号或下载榜单报告时使用

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: douyin-top-account (ClawHub)

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: 12. 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 "dependency"

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (douyin-top-account) differs from the folder (dy-rank-tranker)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 1398 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 115: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill mostly matches its stated Douyin ranking purpose, but its report generator automatically opens unescaped ranking data as HTML and loads remote JavaScript, so it needs review before installation.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026