| name | hypothesis-observation-review |
| description | Evaluate a hypothesis against prior observations. |
hypothesis-observation-review
Goal:
- Evaluate a hypothesis against prior observations.
Inputs:
research_plan/RESEARCH_PLAN.json
hypotheses/<id>/HYPOTHESIS.json
- optional review guidance from prior review artifacts
Outputs:
hypotheses/<id>/REVIEW/OBSERVATION_REVIEW.json
Context Loading:
- Read
research_plan/RESEARCH_PLAN.json.
- Read
hypotheses/<id>/HYPOTHESIS.json.
- Use the current hypothesis mechanism and predictions as the reference point for comparing against known observations.
- If prior reviews exist, use them only to focus attention on disputed claims.
Execution Prompt Contract:
- System Intent:
- You are evaluating whether the hypothesis meaningfully explains relevant observations.
- Required Reasoning Focus:
- Look for observations that are causally relevant to the hypothesis domain.
- Judge whether the hypothesis explains them, adds nothing, is contradicted by them, or is less plausible than existing explanations.
- Prefer causal explanatory value over loose topical overlap.
- Do Not Do:
- Do not list observations that have no material connection to the hypothesis.
- Do not treat generic correlation as causal support.
- Do not emit free-form prose instead of structured observation entries.
- Review Quality Floor:
- A
status = completed observation review must include concrete observations or retrieval results that are materially connected to the hypothesis mechanism or predicted behavior.
- Each observation must explain why it supports, weakens, or remains neutral for the hypothesis rather than only naming a topic.
- Do not use placeholder observation phrases such as
consistent with prior observations, needs validation, or benchmark against parent as substantive review content.
- Output Shape:
- Produce the exact
ObservationReviewContract from packages/agent_contracts/review.py.
- Each observation entry must contain:
- Use the allowed conclusion categories only.
Execution Steps:
- Open
skills/shared-references/schema-index.md, then read packages/agent_contracts/review.py and confirm the exact ObservationReviewContract shape before writing OBSERVATION_REVIEW.json.
- Read the research plan and hypothesis.
- Identify the most relevant observations for the hypothesis domain.
- Evaluate whether the hypothesis explains, conflicts with, or adds little to each observation.
- Write
hypotheses/<id>/REVIEW/OBSERVATION_REVIEW.json.
- Validate before declaring completion.
Artifact Rules:
- Limit the review to the strongest and most relevant observations rather than padding the artifact.
- Each observation entry must remain decision-oriented and concise.
Completion Rule:
- This skill is complete only when
OBSERVATION_REVIEW.json exists and is valid for downstream synthesis.