BF guaikei-kuaishou-data-harvester
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.
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 35/100 · Will not run — References files that are not bundled: scripts/kuaishou/...
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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-yamlSKILL.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-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: scripts/kuaishou/... - note
frontmatter-keyunknown frontmatter key "title"
Process rating: all ten parameters 35/100
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
- 100Steps. 67 steps
- 100Consistency. Name and required fields are in place
- 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: suspicious
The skill appears to collect the public Kuaishou data it advertises, but it needs review because it tells users to print an API token and automatically saves large API results locally.
LLM: suspicious (high) · VirusTotal: · 8 Sept 2026