SKILLEMALL.ai

BF trans-doc-to-md

Convert PDFs, Lexiang document links, or prepared Markdown packages into faithful bilingual Markdown work packages. Preserves source paragraphs, local image paths and order, and rich document structure; uses a generic article profile or strict PDF-rich profile as appropriate. Outputs source.md, optional images/, meta.json, and a final Markdown file named from the original title. Publishing is delegated to upload-markdown-to-lexiang; this skill contains no upload implementation. 将 PDF、乐享文档链接或已准备好的 Markdown 工作包转换为保真的双语 Markdown 工作包。

ClawHub Agent Skills author: ajaxhe v3.0.1 MIT-0 13 files body ≈ 1 697 tokens Open the sourceclawhub.ai analyzed 2 d ago

Convert PDFs, Lexiang document links, or prepared Markdown packages into faithful bilingual Markdown work packages.

As a process F 35/100 · Will not run — References files that are not bundled: /assets/..., images/...

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: /assets/..., images/...
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

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 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 · 0

✓ No critical or high findings

Files scanned: 12. 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 missing-ref reference to a missing file: /assets/...
  • warning missing-ref reference to a missing file: images/...
  • note frontmatter-key unknown frontmatter key "requires"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: /assets/..., images/...
  • 0Tools and files. 2 referenced file(s) missing: /assets/..., images/...
  • 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
  • 100Steps. 51 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1697 tokens
  • 100Running it twice. No mutating operations
  • low 13 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
  • -31 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 536: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 51 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This skill coherently converts documents into bilingual Markdown, but users should be aware it can use Lexiang credentials, download remote assets, and optionally send text to Gemini.
LLM: benign (medium) · VirusTotal: · 15 Jul 2026