abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Apply an intervention/do-style graph modification and propagate predicted directional effects while recording assumptions.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-intervention --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-intervention -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-intervention -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-intervention -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-intervention -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-intervention -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-intervention -a windsurf -y
name: analyze-intervention description: "Apply an intervention/do-style graph modification and propagate predicted directional effects while recording assumptions."
Analyze an intervention's target, mechanism, implementation conditions, and observed effects.
required: [intervention, target_system, outcome_records] optional: [implementation_records, comparator, mechanism_hypotheses] constraints: [effect interpretation must retain implementation and comparison conditions]
1. Define intervention components, dose, timing, and target mechanism. 2. Map implementation fidelity and deviations to observed conditions. 3. Compare outcomes with the declared comparator and plausible alternatives. 4. 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.
produces: [intervention_map, implementation_profile, outcome_comparison, mechanism_assessment, attribution_limits] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not attribute an effect to the intervention when co-interventions or implementation changes are untracked.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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