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AD wos-literature-toolkit

WOS 文献一站式工具：Web of Science 检索爬取 + PDF 批量下载，全部在同一个 Web 界面完成。 基于 Selenium 爬取 WOS 文献列表，导出 Excel 后自动调用多渠道 PDF 下载器（Sci-Hub/CORE/S2 OA/OpenAlex/Unpaywall/Publisher）。 This skill should be used when the user wants to search and download academic papers from WOS, or mentions "WOS", "Web of Science", "文献检索下载", "论文下载", "WOS爬虫".

ClawHub Agent Skills author: GrizzlyCcc v1.1.2 MIT-0 2 files body ≈ 373 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ReferencePlaywrightInfrastructureData and analyticsResearchtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
D
45/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: wos-literature-toolkit (ClawHub)

How to improve

    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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 45/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (wos-literature-toolkit) differs from the folder (wos-crawler)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 31 steps
    • 100Execution cost. Instruction body is 373 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
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 318: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 31 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This skill describes a high-impact WOS crawling and bulk PDF downloading workflow, but it lacks the referenced executable code and under-discloses cookie persistence and external download behavior.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026