SKILLEMALL.ai

CD scientific-visualization

Creates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn or Plotly, covering figure design, multi-panel layouts, uncertainty and missing-data displays, colour and contrast review, image metadata validation and journal export planning. Load alongside figures when a plot must meet a specific journal's requirements or needs an accessibility or export audit. Not for diagrams (use schematics) or illustrations (use generate-image).

synthetic-sciences/OpenScience Agent Skills author: synthetic-sciences Apache-2.0 15 files · 8 scripts body ≈ 2 984 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Creates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn or Plotly, covering figure design, multi-panel layouts…

As a process D 49/100 · Unfinished process — References files that are not bundled: assets/publication.mplstyle, assets/nature.mplstyle, assets/presentation.mplstyle

AnalyzerPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
76
Run on models
none yet
Process rating
D
49/100
Unfinished process
References files that are not bundled: assets/publication.mplstyle, assets/nature.mplstyle, assets/presentation.mplstyle
Tools and files w 18
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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.

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash Glob Grep

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/publication.mplstyle
  • warning missing-ref reference to a missing file: assets/nature.mplstyle
  • warning missing-ref reference to a missing file: assets/presentation.mplstyle
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "role"
  • note edit-residue the text marks something as outdated (lines 121): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: assets/publication.mplstyle, assets/nature.mplstyle, assets/presentation.mplstyle
  • 0Tools and files. 3 referenced file(s) missing: assets/publication.mplstyle, assets/nature.mplstyle, assets/presentation.mplstyle
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 13 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 63 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2984 tokens
  • 100Progress reporting. Reports progress

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
  • +3Output format is not stated: the model decides each time
  • -31 of 7 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 475: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.