SKILLEMALL.ai
GitHub ↗ RU Sign in

CF latex-to-nextra-site

将 project-cookbook-latex 生成的 LaTeX 工程转换为基于 Nextra 的中文电子文档网站，保留 PlantUML/drawio/Mermaid 图表、代码块、LaTeX 公式与表格，输出可上传 GitHub 并一键部署到 Vercel 或 Docker 的项目文件夹。

ClawHub Agent Skills author: Samon Yu v1.1.0 MIT-0 3 files body ≈ 7 544 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

将 project-cookbook-latex 生成的 LaTeX 工程转换为基于 Nextra 的中文电子文档网站，保留 PlantUML/drawio/Mermaid 图表、代码块、LaTeX 公式与表格，输出可上传 GitHub 并一键部署到 Vercel 或 Docker 的项目文件夹。

As a process F 29/100 · Will not run — References files that are not bundled: /zh/chXX-..., url, /zh/<slug-of-min-new>

ProcedureLaTeXGitHubDockerPDFInfrastructuretype 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
C
73/100
safety, quality, tests
Safety 60%
90
Quality 40%
48
Run on models
none yet
Process rating
F
29/100
Will not run
References files that are not bundled: /zh/chXX-..., url, /zh/<slug-of-min-new>
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration exfil-read-secret-files SKILL.md:698
    Reads credential / secret files (Dockerfile instruction (build context, not runtime exfiltration))
    COPY package.json package-lock.json* .npmrc* ./
    Dockerfile
  • medium Exfiltration exfil-read-secret-files SKILL.zh-CN.md:680
    Reads credential / secret files (Dockerfile instruction (build context, not runtime exfiltration))
    COPY package.json package-lock.json* .npmrc* ./
    Dockerfile

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")
  • warning body-long SKILL.md body ≈ 7544 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: /zh/chXX-...
  • warning missing-ref reference to a missing file: url
  • warning missing-ref reference to a missing file: /zh/<slug-of-min-new>
  • warning missing-ref reference to a missing file: ...
  • warning missing-ref reference to a missing file: scripts/render-plantuml.mjs
  • warning missing-ref reference to a missing file: scripts/tex2mdx.mjs
  • warning missing-ref reference to a missing file: scripts/renumber-content.mjs

Process rating: all ten parameters 29/100

Will not run. References files that are not bundled: /zh/chXX-..., url, /zh/<slug-of-min-new>
  • 0Tools and files. 7 referenced file(s) missing: /zh/chXX-..., url, /zh/<slug-of-min-new>
  • 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. 4 mutating operations with no state check
  • 70Execution cost. Instruction body is 7544 tokens
  • 85Steps. 100 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 149: enough signal without eating the budget
  • +4Structure: 50 headings
  • +3Step-by-step instructions: 100 items
  • +4Has examples (28 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.

External checks

ClawHub: suspicious
This skill has a legitimate document-conversion purpose, but it asks agents to run Docker, npm builds, and deployment commands with some consent and command-safety gaps.
LLM: suspicious (medium) · VirusTotal: · 9 Jul 2026