SKILLEMALL.ai

BF md-pdf-render

将 Markdown 文件转换为高保真 PDF,效果与编辑器预览完全一致。支持 GFM 语法、代码高亮、表格、任务列表、目录生成、自定义 CSS 和多种主题。

ClawHub Agent Skills author: Zhou Chang v1.1.0 MIT-0 7 files body ≈ 519 tokens Open the sourceclawhub.ai analyzed 2 d ago

将 Markdown 文件转换为高保真 PDF,效果与编辑器预览完全一致。支持 GFM 语法、代码高亮、表格、任务列表、目录生成、自定义 CSS 和多种主题。

As a process F 31/100 · Will not run — weak spots: steps, result and completion, when it triggers

GeneratorGitHubPlaywrightVS CodeWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
69
Run on models
none yet
Process rating
F
31/100
Will not run
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:52
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…55h/ff8EMaJ+cYhy…4pW+sXf9…fFg==",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:79
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…XPn/zV+zis1…Vp9+fVqy…iST/VhUQ…Jqw==",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:90
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…Zgd+c22swUeI9g/ntax…OCw==",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:127
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…UNf+pIrK…WvF/eTpJ…KEx/+gpHb…3ww==",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/package-lock.json:165
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…e0W+D5lrFiAEYR+pb6w…SEv+dT4M…otw==",
    quoted

Files scanned: 7. 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")
  • note frontmatter-key unknown frontmatter key "bindShells"

Process rating: all ten parameters 31/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 519 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (3 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)
  • +3Description length 79: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +4Has examples (8 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This is a coherent Markdown-to-PDF tool, but it needs Review because it renders user documents in a network-enabled browser with raw HTML and optional remote Mermaid code without clear safety controls.
LLM: suspicious (medium) · VirusTotal: · 27 Jun 2026