SKILLEMALL.ai
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CD academic-figures

Publication-ready scientific figures from one command — 27 chart types (bar, slope, volcano, grouped bar, scatter, heatmap, forest plot, KM survival curve (Kaplan-Meier, ROC, violin, box, composite panels, PRISMA 2020 flow, funnel, Bland-Altman, PCA, venn 2-4 sets, upset set intersections (5+ sets), oncology waterfall (RECIST), raincloud (cloud+box+rain trio), clustered heatmap, dual-axis, Cox multi-variable regression forest), 9 themes incl. colorblind-safe Okabe-Ito and NEJM/Lancet/Science journal palettes, 9 journal submission presets, YAML figure pipeline (a whole paper in one command), multi-format export (TIFF/PNG/PDF in one run), Python API, --wizard chart picker, render watchdog with auto-degrade retry, reviewer-style --annotate arrows, PDF text-overlap + font-size gates, 600dpi output. 100% local — data never leaves your machine.

ClawHub Agent Skills author: docsor1212 v4.9.0 MIT-0 79 files · 15 scripts body ≈ 6 189 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

Publication-ready scientific figures from one command — 27 chart types (bar, slope, volcano, grouped bar, scatter, heatmap, forest plot, KM survival curve…

As a process D 46/100 · Unfinished process — References files that are not bundled: scripts/journal/*.json, templates/README.md

ProcedureSoftware developmentPersonal productivityResearchtype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
C
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
52
Run on models
none yet
Process rating
D
46/100
Unfinished process
References files that are not bundled: scripts/journal/*.json, templates/README.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 78. 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 body-long SKILL.md body ≈ 6189 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/journal/*.json
  • warning missing-ref reference to a missing file: templates/README.md
  • note edit-residue the text marks something as outdated (lines 287): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: scripts/journal/*.json, templates/README.md
  • 0Tools and files. 2 referenced file(s) missing: scripts/journal/*.json, templates/README.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 6189 tokens
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 24 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable
  • medium 14 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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 850: 120–800 characters recommended
  • -214 emoji in the instructions: noise for the model
  • -36 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (9 of 15)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.

External checks

ClawHub: clean
This skill is a local academic chart generator with disclosed file output and optional dependency installation, and I found no evidence of hidden exfiltration or destructive behavior.
LLM: benign (high) · VirusTotal: · 10 Oct 2026