AgentSkillsCN

eaai-benchmark-paper

为 BPR 基准研究打造的论文写作自动化封装工具（卡片生成、草稿整合、一致性检查）。

SKILL.md
--- frontmatter
name: eaai-benchmark-paper
description: Paper-writing automation wrapper for the BPR benchmarking study (cards, draft assembly, consistency checks).

EAAI Benchmark Paper Skill

README-style quick reference

  • •Overview: wrapper around card building, draft assembly, and QA checks.
  • •Requirements: Python 3, pandas, pyyaml.
  • •Run: scripts/run_pipeline.sh (full pipeline) or scripts/run_section.sh 5.1.
  • •Outputs: outputs/draft.md and outputs/cards/*.jsonl.
  • •Env: optional overrides in config/.env.example.

When to use

  • •Build cards (Evidence/Result/Figure) from curated inputs.
  • •Assemble a draft skeleton that is card-traceable.
  • •Validate writing_plan constraints and consistency rules.

Required inputs

  • •../outputs/main/main_table_rq1.csv
  • •../outputs/main/main_table_rq2.csv
  • •../outputs/main/main_table_rq3.csv
  • •fig_index.csv
  • •writing_plan.yaml
  • •inputs/evidence_cards.csv (optional but recommended)

Quick start

  1. •Install dependencies (optional if already installed):
    • •scripts/install.sh
  2. •Run the full pipeline:
    • •scripts/run_pipeline.sh
  3. •Extract a single section:
    • •scripts/run_section.sh 5.1

Scripts

  • •scripts/install.sh: create a venv (optional) and install pandas + pyyaml.
  • •scripts/validate_inputs.sh: check required inputs and paths.
  • •scripts/run_pipeline.sh: build cards, assemble draft, lint, consistency checks.
  • •scripts/run_section.sh: rebuild draft and extract a single section.
  • •scripts/bundle.sh: package the wrapper for sharing.

Notes

  • •Do not ingest full PDFs; use metadata and evidence cards only.
  • •Main text must use scale-free metrics (NMAE/NRMSE/Skill) with test-mean normaliser.
  • •RQ1/2/3 each bind exactly one main figure and one main table.