paper-extractor

paper-extractor is a skill for Claude Code, Codex from yojiro253-del/BioForge. It costs 18 tokens per session (57 once invoked), scanned A, original, MIT.

A tool that reads a microbiology research paper and extracts the organisms, genes, and methods it mentions.

In plain words
What is it for?
Use it to process a paper’s text and produce a summary of its organisms, genes or parts, and experimental methods.
Why use it?
It reduces the time needed to find and organize technical details scattered through a paper.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to process a paper’s text and produce a summary of its organisms, genes or parts, and experimental methods.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yojiro253-del/bioforge/paper-extractor
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 yojiro253-del/BioForge --skill paper-extractor
Clone the repo
git clone --depth 1 https://github.com/yojiro253-del/BioForge

Made for: Claude Code, Codex.

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 paper-extractor

README.md
[![agentmods](https://agentmods.dev/badge/skills/yojiro253-del/bioforge/paper-extractor.svg)](https://agentmods.dev/skills/yojiro253-del/bioforge/paper-extractor)
Your own site
<a href="https://agentmods.dev/skills/yojiro253-del/bioforge/paper-extractor"><img src="https://agentmods.dev/badge/skills/yojiro253-del/bioforge/paper-extractor.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 57 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 $0.00018 $0.00057
Opus 5 $0.00009 $0.00028
Sonnet 5 $0.00004 $0.00011
Haiku 4.5 $0.00002 $0.00006

Measured 7d ago against content hash c7fbf6446f66, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

paper-extractor 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/extract.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/paper-extractor/SKILL.md · 8 lines

What it actually says

Skill: paper-extractor

Run: python scripts/extract.py <paper.txt> Then write a clean summary of organisms, genes/parts, and methods.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 8 lines · 18 tokens per session scan A c7fbf6446f66

Subscribe to this mod's changes

paper-extractor is a skill published in the GitHub repository yojiro253-del/BioForge (1 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 57 once invoked, about $0.0001 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

imaging-data-commons

Query and download public cancer imaging data from NCI Imaging Data Commons. Invoke for any question about IDC collections, cancer imaging datasets, DICOM data access, radiology (CT, MR, PET) or pathology AI training sets, metadata queries, visualization, or license checks — even when the user doesn't explicitly…

K-Dense-AI/scientific-agent-skills · 75 tokens

tamarind

Access a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design…

K-Dense-AI/scientific-agent-skills · 172 tokens

lab-hardware-cad

Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research…

K-Dense-AI/scientific-agent-skills · 106 tokens

onekgpd

Query the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which individuals…

K-Dense-AI/scientific-agent-skills · 143 tokens

pkpd-modeling

Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when…

K-Dense-AI/scientific-agent-skills · 273 tokens

relsa-severity-assessment

Multivariate severity assessment and humane endpoint prediction for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinical or nesting scores, biomarkers, activity…

K-Dense-AI/scientific-agent-skills · 182 tokens