AC natural-earth-pigment-paint-making-basics
Use when commercial paints, stains, or coatings become unreliable, expensive, or unavailable and you need durable, natural, breathable pigments made from local earth, clay, charcoal, and plants for walls, tools, leather, or trade goods. Agent identifies safe local pigment sources from your photos/GPS, calculates binder and extender ratios, generates multi-day extraction/grinding/mixing schedules with timed reminders, tracks color-fastness and coverage tests, and produces inventory/barter templates. Human performs every physical step — collecting, grinding, mixing, testing, and applying — rebuilding tactile self-reliance in earth-to-paint conversion.
As a process C 56/100 · 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 56/100
- 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. 1 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 53 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1998 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 657: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 53 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.