CD create-canvas
Build a freeform canvas to explore, compare, and iterate on anything.
Promises a framework for building a freeform canvas to explore and compare ideas. Single file with 3358 tokens, no critical errors. Quality score of 65 suggests functional but unremarkable implementation.
Security checks pass (100 points), no broken references. Process score of 47 indicates either simplified logic or sparse documentation. Not tested on live models. Supports all major platforms from Claude to Deepseek, which aids portability.
Install if you need basic canvas functionality without bells and whistles. For serious visualization and interaction work, test it on your model first.
Build a freeform canvas to explore, compare, and iterate on anything.
As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 47/100
- 0Result and completion. Does not say what the result is
- 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
- 30Running it twice. 6 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 117 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3358 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
- +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 69: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 8 headings
- +3Step-by-step instructions: 117 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.