Analyze results
Skill OleksiiDotsenko/test-builder/plugins/test-builder/skills/analyze-results
Compute item statistics (P-value, D-index, Rit, distractor analysis) from a response CSV. Explicit shortcut into the test-builder analysis mode.From its SKILL.md
npx -y skills add OleksiiDotsenko/test-builder --skill analyze-resultsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.0 KB, 207 tokens by cl100k_base, as published. Nobody here has run it
Read ${CLAUDE_PLUGIN_ROOT}/skills/test-builder/SKILL.md and follow its
analysis mode (Steps 8–10).
Response data: $ARGUMENTS
(a CSV path — rows = takers, columns = items, plus a KEY row with the
correct answers; or an already-scored 0/1/points matrix, then add --scored).
From the user's project directory, run:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/test-builder/scripts/psychometrics.py" <csv> --out report.md
Then interpret the report against the guide's interval tables in
${CLAUDE_PLUGIN_ROOT}/skills/test-builder/references/psychometrics.md:
per-item verdicts (bank / revise / retire), dead distractors, negative
discrimination, keying anomalies, whole-test reliability, and whether the
test was too hard or too easy for this group. State the small-sample caveat
when n < 20.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.