Skill-Audit-Bericht
power-analysis Audit-Bericht.
Use when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it before collecting data — finding the per-group sample size that hits target statistical power for the smallest effect worth detecting, auditing the design against a validity checklist, and locking it in a preregistration. Only for a single two-arm comparison with one primary outcome. Not for factorial, repeated-measures, clustered/multilevel, time-series, adaptive, or survival designs; not for analyzing data already collected; not for choosing the outcome or manipulation from domain knowledge.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub-Akzeptanz
Info62
163 GitHub-Stars
Star-/Fork-Aktivität
Warnung57
163 Stars und 19 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Info76
4 Monate seit dem letzten Push
Lizenzklarheit
Bestanden86
MIT
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Bestanden90
Keine wesentlichen Abhängigkeitsrisikohinweise in öffentlichen Metadaten
Installationsverfügbarkeit
Bestanden92
npx skills add gaasher/Agent-Loop-Skills --skill power-analysis
Sicherheit des Installationsbefehls
Bestanden92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
Bestanden86
Dateisystem- oder Dokumentzugriff
Repository-Nachweis
Bestanden86
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/power-analysis
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add gaasher/Agent-Loop-Skills --skill power-analysis
Repository
88
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/power-analysis
Lizenz
86
MIT
Wartung
76
4 Monate seit dem letzten Push
KI-Prüfung
55
The power simulation uses a normal approximation (z-test) which is slightly optimistic for very small sample sizes (<20 per group); this is documented but could mislead users if they ignore the caveat.
README/SKILL.md-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
90
Keine wesentlichen Abhängigkeitsrisikohinweise in öffentlichen Metadaten
Sicherheit des Installationsbefehls
92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
86
Dateisystem- oder Dokumentzugriff
Star-/Fork-Aktivität
57
163 Stars und 19 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
68
163 GitHub-Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnungen
- Financial research output is not financial advice; require human review before any live investment decision
- The power simulation uses a normal approximation (z-test) which is slightly optimistic for very small sample sizes (<20 per group); this is documented but could mislead users if they ignore the caveat.
- The skill is narrowly scoped to two-arm comparisons with continuous or binary outcomes; users with other designs must be careful not to misuse it.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
Methode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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