SKILLEMALL.ai

AC baidu-img-download

百度图片下载:按关键词从百度图片搜索批量下载图片到本地。触发场景:用户说『下载 关键词 X 张图片』『百度图片下载 X』『用百度抓 N 张图』『按关键词 抓百度图』『百度图片批量下载』『Baidu image download』。底层用 acjson JSON 端点(image.baidu.com/search/acjson),无需浏览器,Node.js 零依赖实现,文件名采用来源页的中文标题,文件落到技能目录的 download/关键词名/ 子目录下。

ClawHub Agent Skills author: lfp1979 v1.0.0 MIT-0 3 files body ≈ 645 tokens Open the sourceclawhub.ai analyzed 4 d ago

百度图片下载:按关键词从百度图片搜索批量下载图片到本地。触发场景:用户说『下载 关键词 X 张图片』『百度图片下载 X』『用百度抓 N 张图』『按关键词 抓百度图』『百度图片批量下载』『Baidu image download』。底层用 acjson JSON…

As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, progress reporting

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 3. 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 60/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 645 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 229: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This skill does what it claims: it downloads Baidu image-search results to a local folder, with no hidden credential use or unrelated behavior found.
LLM: benign (high) · VirusTotal: · 21 Jun 2026