AC natural-plant-dye-making-basics
Use when commercial dyes or colored fabric become unreliable, expensive, or unavailable and you need vibrant, light-fast, wash-fast natural dyes made from local foraged or garden plants for coloring yarn, clothing, rugs, or trade goods. Agent identifies safe local dye plants from your photos/GPS, calculates mordant ratios and extraction timelines, generates multi-day harvest/extract/fix schedules with timed reminders, tracks color-fastness tests, and produces inventory/barter templates. Human performs every physical step — harvesting, chopping, simmering, straining, and dyeing — rebuilding tactile self-reliance in plant-to-color conversion.
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 54/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 85Steps. 54 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2000 tokens
- 100Progress reporting. Reports progress
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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 648: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 54 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.