AC study-buddy
When user asks to study, create flashcards, take a quiz, make notes, revise, set study timer, track study hours, create study plan, explain a topic, test knowledge, do spaced repetition, summarize a chapter, practice questions, view study stats, or any learning/studying task. 22-feature AI study assistant with flashcards, quizzes, spaced repetition, Pomodoro timer, study planner, notes, and gamification. All data stays local — NO external API calls, NO network requests, NO data sent to any server.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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
- warning
body-longSKILL.md body ≈ 5376 tokens (recommended < 5000); move details to references/
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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 12 mutating operations with no state check
- 40Consistency. Frontmatter name (study-buddy) differs from the folder (study-buddy-ai)
- 70Execution cost. Instruction body is 5376 tokens
- 100Tools and files. No external tools needed
- 100Steps. 47 steps
- 100Failures and branches. 5 branches, has a failure section
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 31 top-level sections: this looks like several domains in one skill
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 502: enough signal without eating the budget
- +4Structure: 33 headings
- +3Step-by-step instructions: 47 items
- +4Has examples (51 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.