Agent Skills

Literature Experiment Extract

AIPOCH

Extract experimental models, experimental methods, and biomarker information from paper Markdown (typically produced by PDF-to-Markdown tools) when a user provides paper Markdown and needs a structured, evidence-backed summary (1 Markdown + 3 CSVs).

2
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FILES
literature-experiment-extract/
skill.md
references
guide.md
assets
template.md
86100Total Score
View Evaluation Report
Core Capability
84 / 100
Functional Suitability
11 / 12
Reliability
9 / 12
Performance & Context
7 / 8
Agent Usability
14 / 16
Human Usability
8 / 8
Security
10 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
92You have a paper converted to Markdown (e.g., via PDF-to-Markdown) and need to extract cell/animal models used in experiments
4/4
88You need a structured list of experimental methods/protocols described in the paper, with traceable evidence
4/4
86Extracts three entity groups from paper Markdown:
4/4
86Experimental models (cell lines, animal models, strains, genotypes, etc.)
4/4
86End-to-end case for Extracts three entity groups from paper Markdown:
4/4

SKILL.md

When to Use

  • You have a paper converted to Markdown (e.g., via PDF-to-Markdown) and need to extract cell/animal models used in experiments.
  • You need a structured list of experimental methods/protocols described in the paper, with traceable evidence.
  • You want to compile biomarkers / detection indicators (e.g., genes, proteins, assays, readouts) reported in the study.
  • You need standardized outputs for downstream analysis: one Markdown summary plus three CSV tables.
  • The paper Markdown includes page markers (e.g., ## Page XX) and you want evidence organized by page.

Key Features

  • Extracts three entity groups from paper Markdown:
    • Experimental models (cell lines, animal models, strains, genotypes, etc.)
    • Experimental methods (assays, protocols, instruments, conditions)
    • Biomarkers / indicators (targets, readouts, measured variables)
  • Produces evidence-backed results (citations/excerpts preserved and traceable to the source).
  • Supports page-aware evidence organization when the input includes pagination headers like ## Page XX.
  • Outputs are fixed and standardized:
    • 1 Markdown summary
    • 3 CSV files: models / methods / biomarkers
  • Uses a predefined template and extraction rules:
    • Requirements and consistency rules: references/guide.md
    • Output template: assets/template.md

Dependencies

  • None (documentation-driven workflow).
  • Input assumption: paper content is available as Markdown, typically generated by a PDF-to-Markdown tool.

Example Usage

Input

A paper converted to Markdown, ideally with page headers:

## Page 1
... text describing "C57BL/6 mice" and "Western blot" ...

## Page 2
... text describing "ELISA" and "IL-6 levels" ...

Steps

  1. Open the paper Markdown (typically produced by PDF-to-Markdown tools).
  2. Extract models, methods, and biomarkers page by page.
  3. Follow:
    • Extraction rules and evidence requirements: references/guide.md
    • Output template: assets/template.md
  4. Output exactly:
    • outputs/{Paper Abbreviation}-experiment-summary.md
    • outputs/{Paper Abbreviation}-models.csv
    • outputs/{Paper Abbreviation}-methods.csv
    • outputs/{Paper Abbreviation}-biomarkers.csv

Output (required)

  • All final outputs must be UTF-8 encoded.
  • Output must be produced directly (no confirmation steps or optional branches).
  • Evidence excerpts must remain in the original language of the source literature.

Implementation Details

  • Input parsing

    • Read the paper Markdown as the sole input source.
    • If pagination headers like ## Page XX exist, prioritize attaching evidence to the corresponding page.
  • Extraction rules

    • Apply entity definitions, allowed/expected fields, normalization rules, and evidence formatting as specified in references/guide.md.
  • Output formatting

    • Generate outputs using assets/template.md as the canonical structure.
    • Add rows as needed while preserving evidence citations/excerpts.
    • The output set is fixed: 1 Markdown summary + 3 CSVs (models/methods/biomarkers).
  • Paths and naming

    • Default output directory: outputs/
    • Naming:
      • Markdown: outputs/{Paper Abbreviation}-experiment-summary.md
      • CSVs:
        • outputs/{Paper Abbreviation}-models.csv
        • outputs/{Paper Abbreviation}-methods.csv
        • outputs/{Paper Abbreviation}-biomarkers.csv
  • Language

    • Output language should be Chinese by default (or the user-requested language if specified).
    • Evidence excerpts must remain in the original language of the source text.