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PApaperclipai/paperclip102k近 7 天新增 3,122 个 star
analyze-intervention
Apply an intervention/do-style graph modification and propagate predicted directional effects while recording assumptions.
- Star
- 503
- 分类
- 科研
- 许可证
- Apache-2.0
- 最近提交
- 2026年9月29日
skills/analyze-intervention/SKILL.md
在 GitHub 上查看analyze-intervention
Purpose
Analyze an intervention's target, mechanism, implementation conditions, and observed effects.
Input contract
required: [intervention, target_system, outcome_records]
optional: [implementation_records, comparator, mechanism_hypotheses]
constraints: [effect interpretation must retain implementation and comparison conditions]
Procedure
- Define intervention components, dose, timing, and target mechanism.
- Map implementation fidelity and deviations to observed conditions.
- Compare outcomes with the declared comparator and plausible alternatives.
- Summarize mechanism evidence, effect heterogeneity, and unresolved attribution.
If the intervention analysis yields a causal attribution that needs an explicit validity check, consider validate-causal-link as the next tactic.
Output contract
produces: [intervention_map, implementation_profile, outcome_comparison, mechanism_assessment, attribution_limits]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Quality gates
- Intervention components and implementation are separated.
- Comparator and outcome conditions are explicit.
Failure and counterexamples
Do not attribute an effect to the intervention when co-interventions or implementation changes are untracked.
Provenance map
resolved: analyze-intervention
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