evidence-not-assertion
SolidUse whenever a number, a comparison or a claim is about to enter a stage summary or the report — at analysis and writing, and any time you are tempted to state a value you have not computed in this run. Covers where a number must come from, what to do when the experiment did not run, and why an honest gap outscores a plausible sentence.
Install
Quality Score: 80/100
Skill Content
Details
- Author
- tangxiangru
- Repository
- tangxiangru/AutoR
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
a-value-you-did-not-measure-still-has-a-source
Use at Stage 06 and Stage 07 when a deliverable the task named cannot be produced by this run at all — a wet-lab measurement, a synthesised material, a proprietary benchmark, hardware you do not have. Covers the difference between fabricating a number and citing one, where the cited value belongs, and why omitting the section is the worst of the three options.
honest-test-claims
This skill should be used when about to state how many tests pass or fail - writing a commit message containing a count like "22 passed" or "15/17 passing", saying "all tests pass" or "the suite is green" or "tests are passing" in a summary, reporting a test result, or claiming work is verified. Use it before writing the number, not after.
answer-the-why-not-only-the-what
Use when writing results and discussion, and when a task or a reviewer asks why an effect happens rather than whether it does. Covers the difference between reporting an effect and accounting for it, and what a mechanism claim needs behind it.