AD Diagram Generator
AI-powered diagram creation, editing, and format conversion. Generate flowcharts, sequence diagrams, ER diagrams, architecture diagrams and more in Mermaid, draw.io, PlantUML, and Graphviz formats. Powered by evolink.ai
As a process D 47/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches
GeneratorInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
How to improve
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
-
low Exfiltration
net-credential-usescripts/diagram.sh:63Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)local api_key="${EVOLINK_API_KEY:?Set EVOLINK_API_KEY for AI features. Get one at https://evolink.ai/signup}"vendor-hostquoted
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 47/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (Diagram Generator) differs from the folder (ai-diagram-generator)
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 17 steps
- 100Execution cost. Instruction body is 1386 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (8 tags): a typed call is more reliable
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)
- +1No license
- +2Single-language instructions
- +3Description length 219: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 17 items
- +3Output format is stated explicitly
- +4Has examples (0 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: clean
This is a disclosed AI diagram tool, with the main risks being external processing of selected diagrams and in-place edits that can overwrite files.
LLM: benign (high) · VirusTotal: · 29 May 2026