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爱奇艺视频内容 Skill 的无登录版 MVP。用于处理爱奇艺内容搜索、片库筛选、实体详情、榜单/热门推荐、qips 播放与播控、客户端安装检测、客户端下载链接和无客户端 H5 播放降级;不处理账号绑定、登录态、会员状态真实查询、个性化推荐闭环、新 native 指令或后端新接口。

ClawHub Agent Skills author: Robin Kam v1.0.0 MIT-0 20 files body ≈ 1 585 tokens Open the sourceclawhub.ai analyzed 2 d ago

爱奇艺视频内容 Skill 的无登录版 MVP。用于处理爱奇艺内容搜索、片库筛选、实体详情、榜单/热门推荐、qips 播放与播控、客户端安装检测、客户端下载链接和无客户端 H5 播放降级;不处理账号绑定、登录态、会员状态真实查询、个性化推荐闭环、新 native 指令或后端新接口。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
46/100
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

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: 20. 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")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1585 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 141: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (3 of 6)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill is a disclosed iQiyi search, recommendation, and playback helper with network and deeplink behavior that fits its stated purpose.
LLM: benign (high) · VirusTotal: · 19 Aug 2026