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BF scholarPlotSkill

ScholarPlot AI Academic Figure Generator. Connects via MCP to generate and edit SCI-standard figures, including line charts, bar charts, heatmaps, neural network architectures, and experimental flowcharts. Triggers on requests like "generate loss curve", "draw neural network", "create experimental flowchart", "edit figure". Requires API key from figure.thirdme.com.

ClawHub Agent Skills author: waiwai v1.0.0 MIT-0 5 files body ≈ 538 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

ScholarPlot AI Academic Figure Generator.

As a process F 45/100 · Will not run — References files that are not bundled: figureUrl

GeneratorAI and agentstype 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
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: figureUrl
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: figureUrl

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: figureUrl
  • 0Tools and files. 1 referenced file(s) missing: figureUrl
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 538 tokens

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

  • +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
  • +5Description quotes 4 example trigger phrases
  • +3Description length 368: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill appears to do what it claims: generate and edit academic figures through a disclosed external MCP service, with normal API-key and data-sharing considerations.
LLM: benign (high) · VirusTotal: · 3 Jun 2026