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    Evidence Extraction Pro — Turn Papers Into Structured

    1

    Extract source-reported study details and findings into reusable evidence records with provenance, missingness and clear reported-versus-derived distinctions.

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    Evidence Extraction Pro — Turn Papers Into Structured

    Evidence Extraction Pro — Turn Papers Into Structured

    Example session with this skill installed

    Illustrative source excerpt, not a real paper: “Twenty students completed a four-week writing workshop. Mean rubric score rose from 60 before the workshop to 70 afterward. No comparison group was used.” Extract a record using only this excerpt; title, authors and statistical uncertainty are absent.

    • Read your context and instructions
    • Compiled the evidence extraction pro

    Source status: Supplied fictional excerpt only; not a verified publication or full-text study.

    Study identity: Title, authors, year, DOI and registry identifier — not reported. No citation fabricated.
    Population/sample: Twenty students completed the workshop. Enrolled number and exclusions are not reported; do not equate completers with total recruitment.
    Intervention: Four-week writing workshop. Content and delivery details not reported.
    Comparator: No comparison group, explicitly reported.
    Outcome: Rubric score; rubric definition and scale range not reported.
    Timepoints: Before and after the workshop; exact measurement dates not reported.
    Reported results: Mean before = 60; mean after = 70.
    Derived value: Mean difference = 70 − 60 = +10 rubric-score units, calculated from the excerpt. This is derived, not a reported effect estimate with uncertainty.

    Uncertainty: Standard deviations, confidence intervals, statistical tests and participant-level data not reported. No standardized effect or significance can be established.
    Interpretation: Scores increased among the described completers, but the uncontrolled before/after excerpt does not establish causal workshop effectiveness.
    Provenance: Supplied excerpt sentences 1–3; document page and section unavailable.
    Extraction confidence: High for the literal supplied values; incomplete for study identity, design detail and broader conclusions.

    Next step: Obtain the authorized full source and supplements to verify identity, definitions, analysis population and missing methods. No literature search, quality rating or meta-analysis performed.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Evidence Extraction Pro helps researchers and evidence teams convert papers, abstracts, reports, tables and supplements into structured findings. It preserves study identity, populations, methods, interventions or exposures, comparators, outcomes, timepoints, results and uncertainty without creatively filling gaps.

    The skill organizes evidence matrices and extraction records, links related reports when supported, normalizes compatible terms and units, and flags contradictions across text, tables and supplements. Consequential values retain source provenance; reported facts, author interpretation and extractor inference remain separate.

    Works in ChatGPT and Claude with authorized source documents or legitimate accessible research tools. Abstract-only work is labeled and source access limits confidence. It does not invent citations, page numbers, sample sizes, statistics or missing methods, and extraction is not proof of study quality or causality.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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