AB exam-study-guide-predictor
Turn a student's own course material into a two-in-one deliverable: a study guide AND a prediction of what the exam will actually ask, optimized for marks. Use this skill whenever the user wants to prepare or revise for an exam, midterm, final, practical, OSPE, or quiz using their lecture slides, professor audio/voice-note transcripts (English OR Arabic), past exam papers, model answers, lab/practical manuals, textbook chapters, or class notes — even if they just say "help me study for X", "predict my exam", "make me a revision guide", or upload lecture files. Built for biology-family courses (biotechnology, biology, biochemistry, bioinformatics, chemistry, microbiology, molecular biology, and related lab sciences) but adapts to the material given. Do NOT use for writing the exam itself, cheating during a live exam, or general tutoring unrelated to a specific upcoming assessment.
Turn a student's own course material into a two-in-one deliverable: a study guide AND a prediction of what the exam will actually ask, optimized for marks.
As a process B 77/100 · Nearly there — weak spots: inputs and preconditions, 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 77/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 55Failures and branches. 1 branches
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 26 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1953 tokens
- 100Running it twice. Mutating operations check current state
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
- +3Description length 892: 120–800 characters recommended
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +4Description says when NOT to use the skill
- +4Structure: 9 headings
- +3Step-by-step instructions: 26 items
- +3Output format is stated explicitly
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.