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读入/转存 50+ 统计软件格式，对统计二进制格式完整保留变量标签/值标签/特殊缺失值等元数据。副作用声明（完整）：运行环境检查（scripts/check_env.py）；可应要求 pip 安装缺失包；写入主输出文件的同时可能生成 sidecar 元数据（CSV/TSV 旁 <名>_metadata.json、Parquet/Arrow 内嵌）及覆盖 .hyper 时的 .bak/.bak.1 备份；处理 .rda/.rds/.RData/.mtw/.mpj/.rec 时可调用本地 R 解释器，但该回退默认禁用，需 allow_r_exec=True 显式开启。 / Read/convert 50+ statistical software formats, preserving variable/value labels and missing-value metadata for binary stats formats. FULL side effects: runs environment checks (scripts/check_env.py); may optionally pip-install missing packages on request; writes the main output file AND may emit sidecar metadata (e.g. <name>_metadata.json beside CSV/TSV, embedded in Parquet/Arrow schema) and .bak/.bak.1 backups when overwriting .hyper; can invoke the local R interpreter for .rda/.rds/.RData/.mtw/.mpj/.rec files via a fallback DISABLED by default and opted in only with allow_r_exec=True.

ClawHub Agent Skills author: Wintone Zhang v2.2.1 MIT-0 29 files body ≈ 1 723 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

读入/转存 50+ 统计软件格式，对统计二进制格式完整保留变量标签/值标签/特殊缺失值等元数据。副作用声明（完整）：运行环境检查（scripts/checkenv.py）；可应要求 pip 安装缺失包；写入主输出文件的同时可能生成 sidecar 元数据（CSV/TSV 旁…

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorData and analyticstype 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 29. 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 "cn_name"
    • note frontmatter-key unknown frontmatter key "summary"
    • note frontmatter-key unknown frontmatter key "triggers"
    • note frontmatter-key unknown frontmatter key "required_commands"
    • note frontmatter-key unknown frontmatter key "invocable"
    • note frontmatter-key unknown frontmatter key "permissions"

    Process rating: all ten parameters 48/100

    • 0Result and completion. Does not say what the result is
    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 7 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1723 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +3Description length 881: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -238 emoji in the instructions: noise for the model
    • -317 of 18 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (4 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This skill is a local statistical data converter with disclosed file writes, optional package installation, and opt-in R execution for trusted files only.
    LLM: benign (high) · VirusTotal: · 2 Aug 2026