Umbrella review skeptic
Skill Vambrocop/EvidenceForge/skills/umbrella-review-skeptic
Agent skills for systematic review, meta-analysis, umbrella review, and AI-assisted evidence synthesis.
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One thing to look at
- 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Reviews umbrella reviews and second-order meta-analyses. Use when synthesizing existing systematic reviews/meta-analyses, assessing primary-study overlap, duplicate evidence, review quality, AMSTAR/ROBIS-style concerns, discordant conclusions, temporal second-order meta-regression, ecosystem-service trade-offs, and whether review-level statistical pooling is defensible.
SKILL.md
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Umbrella Review Skeptic
Use this skill when the evidence base already contains reviews or meta-analyses and the user wants to synthesize the syntheses.
Core Principle
Do not simply average meta-analyses. Existing reviews often reuse the same primary studies, use different inclusion rules, and report non-comparable pooled effects.
Intake
Identify:
- included reviews/meta-analyses;
- review questions;
- search dates;
- primary studies included in each review;
- pooled effects and metrics;
- quality assessment method;
- overlap among reviews;
- whether a second-order statistical synthesis is planned.
Load:
references/overlap-and-quality.mdfor overlap and quality checks.references/second-order-decision-rules.mdwhen deciding whether review-level pooling is defensible.references/agricultural-diversification-second-order-meta.mdfor long-term agricultural diversification, ecosystem-service, profitability, and yield trade-off synthesis.
Workflow
- Classify the project: umbrella review, review of reviews, or second-order meta-analysis.
- Extract review-level characteristics.
- Build a primary-study by review matrix.
- Assess overlap and duplicate evidence.
- Assess review quality and search currency.
- Compare effect metrics and inclusion criteria.
- Apply AMSTAR 2 / ROBIS-style review appraisal logic where appropriate.
- Decide: narrative umbrella synthesis, evidence map, or second-order pooling.
- If pooling, state dependence assumptions and model choice.
- Report discordance and certainty.
Use templates/overlap-matrix.md for overlap tracking.
Use templates/second-order-temporal-tradeoff-audit.md and templates/review-level-effect-schema.csv for review-level temporal meta-regression and yield-service trade-off audits.
Use templates/second-order-r-package-ledger.csv when extracting software packages and model roles from a second-order meta-analysis.
Use templates/osf-r-dependency-inventory.csv when auditing OSF/GitHub R scripts beyond the packages named in the paper.
Use templates/second-order-quality-scorecard.csv, templates/second-order-model-spec-ledger.csv, and templates/agricultural-diversification-taxonomy.csv when adapting agricultural diversification second-order meta-analysis protocols.
Use templates/second-order-peer-review-readiness-checklist.csv before submission or revision to anticipate reviewer concerns about second-order environmental meta-analyses.
Output Modes
Umbrella Audit
Review set:
Overlap risk:
Quality concerns:
Effect comparability:
Can pool statistically?
Preferred synthesis:
Main caution:
Second-Order Meta Plan
Review-level effect:
Primary-study overlap:
Dependence handling:
Quality weighting/sensitivity:
Model:
Interpretation limits:
Temporal Trade-Off Audit
Use when the second-order synthesis asks how effects change over years or decades.
Review-level evidence base:
Duration moderator:
Outcome families:
Review-level weights:
Random effects:
Primary-study overlap:
Trade-off categories:
Long-term research gaps:
Policy interpretation limits:
Guardrails
- Do not double count the same primary studies.
- Do not pool reviews with incompatible effect metrics without justification.
- Do not treat many reviews as many independent bodies of evidence.
- Do not ignore older reviews being superseded by newer reviews.
- Do not call a narrative umbrella review a second-order meta-analysis.
- Do not assign a simple total score to review quality when the appraisal tool warns against it.
- Do not interpret review-level duration trends as primary-study causal effects without checking overlap, review scope, and the underlying time data.
- Do not collapse yield, profitability, biodiversity, soil quality, and climate mitigation into one sustainability score unless the weighting rule is explicit.