BD tikhub
TikHub API 多平台数据爬取工具，支持抖音/TikTok/B站等。当用户提到：(1) 爬取抖音/TikTok/B站视频或评论；(2) 获取用户信息/粉丝列表；(3) 批量下载无水印视频；(4) 抖音链接转文字（下载→音频→Whisper pipeline）；(5) 调用 TikHub API。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
This is a copy of a skill from another catalog; the rating counts the canonical one: tikhub (ClawHub)
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: 7. 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 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 (tikhub) differs from the folder (tikhub-douyin-pipeline)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 5 steps
- 100Execution cost. Instruction body is 1082 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)
- +3Output format is not stated: the model decides each time
- -32 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 151: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: suspicious
This skill does what it advertises, but it includes an unsafe background transcription command and broad social-data scraping capabilities that need review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026