AB beginner-tutor
A universal tutoring skill for teaching any complex or unfamiliar subject to a complete beginner through structured dialogue, then producing a polished tutorial document for archiving and sharing. Use this skill whenever a user says they are new to a topic, wants to learn something from scratch, needs to understand a subject for their job, or asks "can you teach me about X". Also use when a user wants to create a beginner-friendly tutorial, explainer, or learning guide on any topic. This skill is domain-agnostic: it works for technical fields (finance, engineering, medicine), professional domains (law, marketing, design), and academic subjects alike. Trigger even for vague requests like "I don't understand X at all", "help me learn about Y", or "I need to get up to speed on Z fast".
As a process B 74/100 · Nearly there — weak spots: result and completion, progress reporting
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: 4. 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 74/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Failures and branches. 9 branches
- 100Tools and files. No external tools needed
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2659 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 793: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.