Pg reporting
Convert Pingouin results into compact, polished APA-style or Chinese psychology result sections with tables, assumption notes, and uncertainty caveats.From its SKILL.md
npx -y skills add Exekiel179/pingouin-psych-stats --skill pg-reportingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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- 0 stars0 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
2.8 KB, 645 tokens by cl100k_base, as published. Nobody here has run it
PG Reporting
Use after a Pingouin result table exists or when the user asks to beautify/statistically polish output.
Load
Read:
../../references/supervision-gates.md../../references/apa-output-template.md../../references/pingouin-api-quickref.md../../references/archive-contract.mdwhen the result is part of an analysis run.../../references/pingouin-optimization.mdwhen inspecting result columns or corrections.../../references/report-output-contract.mdfor manuscript or publication-ready output.
Inputs
Need one of:
- Raw Pingouin result table.
- A dataframe/result object available in the workspace.
- Full numeric values from the user.
If no numeric results are available, generate a fill-in template and refuse to invent numbers.
Workflow
- Identify test family and output columns.
- Verify sample size, statistic, df, p-value, effect size, CI, and correction columns.
- Create a reader layer: finding summary and polished prose.
- Create an evidence layer: titled APA table, assumption notes, corrections, effect sizes, and CIs.
- Create a provenance layer: run id, source result, software versions, code path, and S0-S5 audit.
- Add explicit limitation notes and separate them from interpretation.
- Save the report under the active run's
reports/directory and record its source result file.
Output Style
For Chinese users, default to Chinese prose with English statistical symbols:
**结果。** 独立样本 t 检验显示,A 组得分显著高于 B 组,*t*(38) = 2.41, p = .021, Cohen's d = 0.76, 95% CI [0.12, 1.38]。
For English:
An independent-samples t test showed that Group A scored higher than Group B, *t*(38) = 2.41, *p* = .021, Cohen's d = 0.76, 95% CI [0.12, 1.38].
Formatting Rules
- Round statistics to 2 decimals unless the user asks otherwise.
- Round p-values to 3 decimals; use
p < .001. - Include multiple-comparison correction when present.
- Include effect sizes and CIs when present.
- Separate statistical result from interpretation.
- Mention missing assumption checks if they were not provided.
Guardrails
- Never convert a non-significant result into evidence of no effect without equivalence/Bayes justification.
- Never overstate clinical/practical significance from p-values alone.
- Do not infer direction from p-value; use group means or coefficients.
- If the Pingouin table lacks necessary values, ask for or compute them.
- End with one compact S0-S5 audit line unless the user requests publication-ready prose only.
- For manuscript output, use the full section contract instead of returning a chat-style paragraph alone.
What ships with it: 1 file
261 B alongside SKILL.md
agents/
- openai.yaml261 B