SKILLEMALL.ai
GitHub ↗ RU Sign in

CF scientific-schematics

Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

FreedomIntelligence/OpenClaw-Medical-Skills Agent Skills author: FreedomIntelligence 7 files · 3 scripts body ≈ 5 751 tokens Open the sourcegithub.com↗ analyzed 13 h ago

Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement.

As a process F 32/100 · No process to follow — References files that are not bundled: references/diagram_types.md

GeneratorWriting and documentsSoftware developmentAI and agentstype 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
C
79/100
safety, quality, tests
Safety 60%
85
Quality 40%
70
Run on models
none yet
Process rating
F
32/100
No process to follow
References files that are not bundled: references/diagram_types.md
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands 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 contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-shell-rc references/QUICK_REFERENCE.md:12
    Writes to a shell startup file
    echo 'export OPENROUTER_API_KEY="sk-o…key"' >> ~/.bashrc  # or ~/.zshrc
  • medium Dangerous commands cmd-shell-rc references/README.md:250
    Writes to a shell startup file
    echo 'export OPENROUTER_API_KEY="your_key"' >> ~/.bashrc
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5751 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/diagram_types.md

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: references/diagram_types.md
  • 0Tools and files. 1 referenced file(s) missing: references/diagram_types.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Steps. 162 steps, 6 vague phrases
  • 70Execution cost. Instruction body is 5751 tokens
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 15 top-level sections: this looks like several domains in one skill

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
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 355: enough signal without eating the budget
  • +4Structure: 48 headings
  • +3Step-by-step instructions: 162 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +1License stated

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