easypaper-interactive-metadata-build

easypaper-interactive-metadata-build is a skill for Claude Code from PinkGranite/EasyPaper. It costs 40 tokens per session (1,367 once invoked), scanned A, original, Apache-2.0.

An interactive workflow for turning a folder of research materials into metadata, or structured study details, for generating an academic paper.

In plain words
What is it for?
It helps investigate research files, agree on the title, method, data, experiments, references, figures, and tables, and produce JSON that another EasyPaper workflow can use.
Why use it?
It lets a person resolve unclear information during the process instead of relying only on automatic extraction.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the easypaper plugin — 5 skills, 5 commands shipped together

Good fit It helps investigate research files, agree on the title, method, data, experiments, references, figures, and tables, and produce JSON that another EasyPaper workflow can use.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pinkgranite/easypaper/easypaper-interactive-metadata-build
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PinkGranite/EasyPaper --skill easypaper-interactive-metadata-build
Clone the repo
git clone --depth 1 https://github.com/PinkGranite/EasyPaper

Made for: Claude Code.

Or install easypaper, the plugin that ships this one along with the rest of its 5 skills, 5 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for easypaper-interactive-metadata-build

README.md
[![agentmods](https://agentmods.dev/badge/skills/pinkgranite/easypaper/easypaper-interactive-metadata-build/github.svg)](https://agentmods.dev/skills/pinkgranite/easypaper/easypaper-interactive-metadata-build)
Your own site
<a href="https://agentmods.dev/skills/pinkgranite/easypaper/easypaper-interactive-metadata-build"><img src="https://agentmods.dev/badge/skills/pinkgranite/easypaper/easypaper-interactive-metadata-build/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for easypaper-interactive-metadata-build

Your own site · 80×15
<a href="https://agentmods.dev/skills/pinkgranite/easypaper/easypaper-interactive-metadata-build"><img src="https://agentmods.dev/badge/skills/pinkgranite/easypaper/easypaper-interactive-metadata-build.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,367 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01367
Opus 5 $0.00020 $0.00683
Sonnet 5 $0.00008 $0.00273
Haiku 4.5 $0.00004 $0.00137

Measured 9d ago against content hash 314f0df761eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

easypaper-interactive-metadata-build scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/easypaper/skills/easypaper-interactive-metadata-build/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this skill when the user has a folder of research materials and wants Claude to co-author the metadata in conversation instead of running the one-shot SDK pipeline silently.

The two paths are complementary:

Path Driver Interaction Use when
SDK one-shot (generate_metadata_from_folder) EasyPaper internal LLM None Batch, CI, or fast autonomous extraction
This skill Claude Code High Single high-value paper, atypical folder, or ambiguity requiring user input

Both paths produce metadata that can be consumed by easypaper-paper-from-metadata.

Output Contract

The final JSON must validate as PaperGenerationRequest and include:

  • title, idea_hypothesis, method, data, experiments
  • references
  • materials_root
  • figures
  • tables
  • optional template_path, style_guide, target_pages, generation flags, and output settings

Each figure/table object follows the SDK shape:

{
  "id": "fig:h<12hex>",
  "caption": "...",
  "description": "...",
  "section": "",
  "file_path": "relative/posix/path/to/asset.png",
  "wide": false,
  "auto_generate": false,
  "generation_prompt": null
}

Tables use the same shape with tab: ids.

Path Handling

Folder-derived metadata uses the SDK convention:

  • materials_root: resolved source-folder path.
  • figures[].file_path and tables[].file_path: relative POSIX paths under materials_root.
  • Do not convert folder-derived figure/table paths to absolute paths in the saved metadata.
  • template_path may be omitted or written relative to the saved metadata file location when the template is part of the same portable project.

Downstream generation resolves figure/table assets via materials_root first. The generation command or example loader normalizes operational fields such as template_path and local code_repository.path before calling the SDK.

ID Generation

When operating in cold mode, generate stable ids the same way as the SDK:

Read the full file on GitHub · 174 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 174 lines · 40 tokens per session scan A 314f0df761eb

Subscribe to this mod's changes

easypaper-interactive-metadata-build is a skill published in the GitHub repository PinkGranite/EasyPaper (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,367 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

clinical-case-report

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds"…

nexu-io/open-design · 73 tokens

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

pydicom

Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.

K-Dense-AI/scientific-agent-skills · 56 tokens

nature-experiment-log

A workflow for turning experiment notes, images, audio, or text into structured Markdown laboratory logs with YAML metadata. It can also organize raw attachments and optionally connect the logs to Feishu or Obsidian.

Yuan1z0825/nature-skills · 45 tokens

nature-paper2ppt

A workflow for turning a scientific paper, preprint, PDF, article, figure legends, or reading notes into a complete Chinese PowerPoint presentation. It is designed for journal clubs, group meetings, thesis seminars, conferences, defences, and paper-sharing talks.

Yuan1z0825/nature-skills · 177 tokens

structuring-radiology-reports

Converts free-text radiology narratives into structured findings and impression — with measurements, laterality, anatomy, and follow-up recommendations — after OpenMed NER. Use when the user has a CT/MRI/X-ray/ultrasound/mammography report and needs the sections split (technique, comparison, findings, impression)…

maziyarpanahi/openmed · 195 tokens