Individual skill
selective-attrition-audit
Use AFTER the survey has been fielded and the user is analyzing results, OR as a pre-launch diagnostic (does the design risk differential drop-out?). Triggers: "my treatment arm has more dropouts" / "is the completion rate different across conditions?" / "I have asymmetric missing data" / "different pass-rates across groups" / "internal validity audit" / "I want to check whether my comparison is still random". Default audit: Compare (a) completion rate per condition, (b) attention-check pass-rate per condition, (c) response-time distribution per condition, (d) demographics per condition. If any differs, the comparison is confounded with respondent type. Not for: pre-design (use survey-design-checklist); instrument-interpretation (use relative-vs-absolute).
running-surveys-experiments/selective-attrition-audit/SKILL.md
Source commit 9a4b2db21fc4b217136ae4a0e6faad42d179ca03
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 234
- Repository last updated
- Sep 18, 2026
- License
- Not available
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- survey Declared skill tag
- attrition Declared skill tag
- internal-validity Declared skill tag
- audit Declared skill tag
- security Derived category
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SKILL.mdcore · 9,044 bytestest-prompts.jsonasset · 4,135 bytes
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