AC pine-pitch-glue-making-basics
Use when commercial adhesives, epoxies, or sealants become unreliable, expensive, or unavailable and you need strong, waterproof, heat-resistant natural glue for hafting tools, repairing gear, sealing containers, waterproofing seams, or creating tradable repair kits. Agent identifies safe local resin sources from your photos/GPS, calculates exact ratios for flexible vs. rigid grades, generates processing schedules with timed reminders, tracks batch quality tests and curing logs, and produces inventory/barter templates. Human performs every physical step — harvesting raw pitch, cleaning, melting, straining, mixing additives, forming, and testing — rebuilding tactile self-reliance in natural adhesive production.
As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
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 62/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 3 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 100Tools and files. No external tools needed
- 100Steps. 57 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2291 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 719: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 57 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.