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AC plug-intelligent-data-research

|- 功能涵盖: plug, intelligent,。Use when 用户需要plug-intelligent-data-research相关功能时使用。不适用于超出本技能能力范围的复杂需求。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互，无需复杂配置即开即用。提供结构化输出和错误处理机制。 面向研究者和分析师的智能数据研究工具包，覆盖多引擎搜索、网页抓取、数据聚合与分析，让数据研究效率提升5倍。 目标用户: 市场研究员、数据分析师、投资研究员、学术研究者 定价方案: 月付￥399/月 | 年付￥3999/年 | 买...

ClawHub Agent Skills author: 天轰穿 v1.0.0 MIT-0 3 files body ≈ 3 582 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

|- 功能涵盖: plug, intelligent,。Use when 用户需要plug-intelligent-data-research相关功能时使用。不适用于超出本技能能力范围的复杂需求。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互，无需复杂配置即开即用。提供结构化输出和错误处理机制。…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmenttype 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
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
53/100
Has gaps
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

    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

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "summary"
    • note frontmatter-key unknown frontmatter key "edition"
    • note frontmatter-key unknown frontmatter key "pricing_tier"
    • note frontmatter-key unknown frontmatter key "tools"

    Process rating: all ten parameters 53/100

    • 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
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 128 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3582 tokens
    • 100Running it twice. No mutating operations
    • low 19 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
    • +2Single-language instructions
    • +3Description length 272: enough signal without eating the budget
    • +4Structure: 62 headings
    • +3Step-by-step instructions: 128 items
    • +4Has examples (6 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This is a disclosed data research bundle for search, crawling, local archiving, and SQL-style analysis, with no bundled executable code or hidden behavior found.
    LLM: benign (medium) · VirusTotal: · 18 Aug 2026