SKILLEMALL.ai

CD marp-slide-expert

Convert or create Marp slide decks from Markdown sources. Use when working with .marp.md / .md files meant for marp CLI rendering, designing page-level slide layouts (cover, divider, text, tables, multi-column / split layouts), drawing infographics and relation diagrams as inline SVG (staircase, arrow chain, 2x2 matrix, value tree, sankey, funnel, swimlanes, bento grid, icon-rail, card-row, wave-timeline, argument map, pie / radar / balance-wheel charts), splitting long content into slides (15-line per-slide cap), writing speaker notes as invisible HTML comments, preparing image assets, or troubleshooting marp syntax errors and content overflow. Applies to marp / marpit slide format.

ClawHub Agent Skills author: Jacky Shen v0.1.0 MIT-0 43 files · 2 scripts body ≈ 4 709 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Convert or create Marp slide decks from Markdown sources.

As a process D 36/100 · Unfinished process — References files that are not bundled: ..., <path>, <a>

GeneratorObsidianMarketingInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
36/100
Unfinished process
References files that are not bundled: ..., <path>, <a>
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 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: 43. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ...
  • warning missing-ref reference to a missing file: <path>
  • warning missing-ref reference to a missing file: <a>
  • warning missing-ref reference to a missing file: <b>

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: ..., <path>, <a>
  • 0Tools and files. 4 referenced file(s) missing: ..., <path>, <a>
  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4709 tokens
  • 85Steps. 53 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 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
  • -5TODO / placeholder text left in the skill
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 692: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

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

External checks

ClawHub: clean
This skill is a coherent Marp slide-making helper with disclosed local rendering, linting, and asset-prep workflows; the main risks are normal install and command-execution precautions.
LLM: benign (high) · VirusTotal: · 1 Oct 2026