extract-evidence-record
SkillDatabases & dataLets your agent pull structured evidence records from a source, capturing methods, results, limitations, and provenance.
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Details
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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
- Identify source identity, study design, population, intervention/exposure, comparator, and outcome.
- Extract methods, data, evaluation conditions, metrics, estimates, and limitations into the schema.
- Record units, uncertainty, provenance links, and missing/ambiguous fields.
- 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-dataresolved: score-extractionresolved: condition-catalogingintermediate: Pass4/extract-study-dataresolved: performance-extractionintermediate: Pass4/extract-performance-recordintermediate: 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
github.com/yogsoth-ai/de-anthropocentric-research-engine
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