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Convert markdown files to professional PDF documents with proper Chinese font support, theme system, and visual self-check. Use for Markdown → PDF, printable Markdown documents, and Markdown formatted for print or mobile reading. Prefer its CJK typography, header/footer suppression, and visual verification over manual pandoc/Chrome commands. Scope is Markdown → PDF only. Existing Word/WPS → PDF, including manuscript excerpts and layout repair, routes to daymade-docs:docx-creator; do not round-trip an authoritative Word manuscript through Markdown. Word output also routes to docx-creator.

daymade/claude-code-skills Agent Skills author: daymade 11 files body ≈ 5 714 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Convert markdown files to professional PDF documents with proper Chinese font support, theme system, and visual self-check.

As a process F 39/100 · Will not run — References files that are not bundled: scripts/…, scripts/tests/test_cjk_tables.py::test_default_theme_neutralizes_pandoc_colgroup_hint

GeneratorWordPDFSoftware developmentDesigntype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
68
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: scripts/…, scripts/tests/test_cjk_tables.py::test_default_theme_neutralizes_pandoc_colgroup_hint
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. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Concealment en-hide-from-user scripts/tests/test_backend_routing.py:27
    Instruction to hide actions from the user (negated — the text forbids it)
    These tests pin the routing table so a future edit cannot quietly send a
    negated

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5714 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/…
  • warning missing-ref reference to a missing file: scripts/tests/test_cjk_tables.py::test_default_theme_neutralizes_pandoc_colgroup_hint

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: scripts/…, scripts/tests/test_cjk_tables.py::test_default_theme_neutralizes_pandoc_colgroup_hint
  • 0Tools and files. 2 referenced file(s) missing: scripts/…, scripts/tests/test_cjk_tables.py::test_default_theme_neutralizes_pandoc_colgroup_hint
  • 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. 8 mutating operations with no state check
  • 70Execution cost. Instruction body is 5714 tokens
  • 85Steps. 24 steps, 1 vague phrases
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 594: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (5 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.