SKILLEMALL.ai
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在即时通讯 app 中以优雅图片形式展示 Markdown。支持标题、代码高亮（行号、Monokai）、LaTeX 公式、Mermaid 图表、表格、列表。4 种色彩主题，智能分页。渲染阶段零 CDN 依赖（安装时需网络下载依赖）。| Render Markdown as a polished image for messaging apps. Supports code highlighting, LaTeX, Mermaid diagrams, tables. 4 themes, smart page split. Zero CDN at render time (deps downloaded at install).

ClawHub Agent Skills author: Enc-hanted v0.4.1 MIT-0 5 files · 2 scripts body ≈ 1 101 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

GeneratorLaTeXSoftware developmentInfrastructuretype 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
B
83/100
safety, quality, tests
Safety 60%
89
Quality 40%
75
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-shell-rc setup.sh:36
    Writes to a shell startup file
    echo "    echo 'export PATH=\"$LOCAL_BIN:\$PATH\"' >> ~/.zshrc"
  • medium Dangerous commands cmd-shell-rc setup.sh:136
    Writes to a shell startup file
    echo "  echo 'export PATH=\"$LOCAL_BIN:\$PATH\"' >> ~/.zshrc"
  • low Dangerous commands cmd-privilege render.sh:304
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    _ds = '-'.join(['', 'disable', 'setuid', 's' + 'andbox'])
    code literal

Files scanned: 5. 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")

Process rating: all ten parameters 62/100

  • 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. 4 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 12 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1101 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 316: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 12 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill does what it claims, but it needs review because its renderer can silently weaken Chromium sandboxing while processing user-provided Markdown content.
LLM: suspicious (high) · VirusTotal: · 29 May 2026