AB diagrams-generator
Generate professional diagrams including cloud architecture, data charts, academic figures, and more. Triggers on requests like "画架构图", "画图表", "画论文插图", "生成系统图", "create diagram", "visualize data", "draw neural network", or when users provide a sketch/image they want to recreate professionally.
As a process B 67/100 · Nearly there — weak spots: consistency, execution cost
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 8081 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "pricing"
Process rating: all ten parameters 67/100
- 40Consistency. Frontmatter name (diagrams-generator) differs from the folder (diagrams-generator-pro)
- 40Execution cost. Instruction body is 8081 tokens: crowds the task out of the window
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (python, node) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 52 steps
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 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
- +4Description does not say when NOT to use the skill (false activations)
- -2129 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 294: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 52 items
- +3Output format is stated explicitly
- +4Has examples (20 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.
External checks
ClawHub: suspicious
This diagram skill is mostly transparent about being paid, but it can automatically contact an external billing service and charge before the user has confirmed the work.
LLM: suspicious (high) · VirusTotal: · 29 May 2026