extract-evidence-record

SkillDatabases & data

Lets your agent pull structured evidence records from a source, capturing methods, results, limitations, and provenance.

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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extract-evidence-recordStart free
About this skill

Extract a schema-declared evidence record from a source, including methods, datasets, metrics/results, conditions, limitations, provenance, and explicitly missing/ambiguous fields.

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/extract-evidence-record/SKILL.md and read by ahel’s review.

Purpose

Extract a schema-declared evidence record containing methods, data, metrics, results, conditions, limitations, provenance, and explicit missing fields.

Input contract

required: [source, extraction_schema]
optional: [protocol_record, quality_rubric, condition_schema]
constraints: [each extracted value is source-linked and missing or ambiguous fields remain explicit]

Procedure

  1. Identify source identity, study design, population, intervention/exposure, comparator, and outcome.
  2. Extract methods, data, evaluation conditions, metrics, estimates, and limitations into the schema.
  3. Record units, uncertainty, provenance links, and missing/ambiguous fields.
  4. Run schema and consistency checks before releasing the record.

If the evidence record contains enough design and method detail for appraisal, consider audit-study-validity as the next tactic.

Output contract

produces: [evidence_record, condition_record, source_links, missing_field_log, extraction_notes]
delta_fields: [evidence_updates, uncertainties, open_questions]

Quality gates

  • Results cannot be detached from their conditions and metric definitions.
  • Missing data are distinct from zero or null results.
  • Extraction notes preserve source wording where interpretation is uncertain.

Failure and counterexamples

Do not infer unreported baselines or merge records from different study versions without lineage evidence.

Provenance map

  • resolved: extract-data
  • resolved: score-extraction
  • resolved: condition-cataloging
  • intermediate: Pass4/extract-study-data
  • resolved: performance-extraction
  • intermediate: Pass4/extract-performance-record
  • intermediate: Pass4/catalog-evaluation-conditions

Signals

GitHub stars
503
Forks
42
Last commit
Sep 2026
Advanced
Item type
skill
Key
extract-evidence-record
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine