SKILLEMALL.ai

AD sites_to_ima

网站内容批量标记入库:全量抓取指定网站内容列表、导出xlsx/csv、建立分类索引笔记并导入知识库、生成增量更新手册。当用户说"标记网站XX""爬取XX网站入库""把XX建成分类索引""更新marksites站点XX"时触发。不适用于单篇文章阅读、非网站数据处理、纯知识库管理。

ClawHub Agent Skills author: sedey999 v1.1.1 MIT-0 5 files body ≈ 2 988 tokens Open the sourceclawhub.ai analyzed 3 d ago

网站内容批量标记入库:全量抓取指定网站内容列表、导出xlsx/csv、建立分类索引笔记并导入知识库、生成增量更新手册。当用户说"标记网站XX""爬取XX网站入库""把XX建成分类索引""更新marksites站点XX"时触发。不适用于单篇文章阅读、非网站数据处理、纯知识库管理。

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePlaywrightExcelCloudflareData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
39/100
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 39/100

  • 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
  • 30Running it twice. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (sites_to_ima) differs from the folder (sites-to-ima)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 64 steps
  • 100Execution cost. Instruction body is 2988 tokens

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 139: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 64 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
The skill mostly matches its website-to-knowledge-base purpose, but it includes unsafe package-manager recovery commands and broad update triggers that can modify notes and knowledge-base records.
LLM: suspicious (high) · 16 Aug 2026