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joss-draft

joss-draft is a skill for Claude Code from queelius/claude-anvil. It costs 56 tokens per session (2,791 once invoked), scanned A, original, MIT.

A drafting tool for creating a JOSS paper.md and paper.bib from an R or Python package. paper.md is the Markdown manuscript, and paper.bib stores its citation details.

In plain words
What is it for?
Use it to find existing manuscripts, README content, tutorials, and related software, then draft the paper's required sections and bibliography.
Why use it?
It helps turn existing package documentation and research material into the sections required for a JOSS submission.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions CLAUDE.md.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the pub-pipeline plugin — 6 skills, 5 commands, 5 agents shipped together

not rated 2repo yesterday A scan 56 tokens original MIT

Good fit Use it to find existing manuscripts, README content, tutorials, and related software, then draft the paper's required sections and bibliography.

Compare 6 skills from other repositories ↓
View source ↗ queelius/claude-anvil
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add queelius/claude-anvil
Claude Code
/plugin install pub-pipeline

Made for: Claude Code.

Or install pub-pipeline, the plugin that ships this one along with the rest of its 6 skills, 5 commands, 5 agents.

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 joss-draft

README.md
[![agentmods](https://agentmods.dev/badge/skills/queelius/claude-anvil/joss-draft/github.svg)](https://agentmods.dev/skills/queelius/claude-anvil/joss-draft)
Your own site
<a href="https://agentmods.dev/skills/queelius/claude-anvil/joss-draft"><img src="https://agentmods.dev/badge/skills/queelius/claude-anvil/joss-draft/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 joss-draft

Your own site · 80×15
<a href="https://agentmods.dev/skills/queelius/claude-anvil/joss-draft"><img src="https://agentmods.dev/badge/skills/queelius/claude-anvil/joss-draft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,791 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 $0.00056 $0.02791
Opus 5.5 $0.00022 $0.01116
Sonnet 5.5 $0.00011 $0.00558
Haiku 4.5 $0.00006 $0.00279

Measured today against content hash a526576e41d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

joss-draft 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 today.

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.

pub-pipeline/skills/joss-draft/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JOSS Paper Drafting

Analyze an R/Python package and draft a complete paper.md and paper.bib for JOSS submission. The paper follows current JOSS format requirements with all required sections.

Philosophy

Research packages exist in messy, real-world contexts — companion papers, existing LaTeX manuscripts, deep vignettes, .papermill.md state files, ecosystem documentation. Use your intelligence to discover and adapt what already exists rather than generating from scratch. Good prose the author has already written is almost always better than template-generated text.

The template structure below is guidance, not a straitjacket. Use it when starting from nothing; reshape existing content when you find it.

Workflow

1. Discover Existing Content

Before generating anything, look for existing paper-like content that can inform or seed the JOSS paper. This is the most important step — skipping it means ignoring potentially excellent prose the author has already written.

Search for existing manuscripts (Glob/Read tools):

  • paper/ directory — LaTeX (.tex), Markdown (.md), Rmd (.Rmd) manuscripts
  • inst/paper/, manuscript/, doc/ — alternative locations
  • .papermill.md — papermill state file with thesis, venue, outline, and strategic context
  • ECOSYSTEM.md, RESEARCH-NOTES.md — ecosystem context and strategic notes

Evaluate what you find:

  • Is there existing prose that describes the package well? Read it carefully.
  • What is its quality? Could sections be adapted directly for JOSS?
  • What is its scope? A 400-line software paper is mostly reusable; a 2000-line theory paper needs selective extraction.
  • Does it have a bibliography? Import relevant entries rather than rebuilding from scratch.
  • Does it reference companion papers or a broader research program? The JOSS paper should acknowledge this context.

Key principle: If the author has a LaTeX paper that already describes the package's purpose, design, and API — reshape it into JOSS format rather than starting from a blank template. Preserve the author's voice, terminology, and framing. Only add what's missing (e.g., State of the Field, AI Disclosure) and trim what's too long.

Read the full file on GitHub · 258 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. today First seen · 258 lines · 56 tokens per session scan A a526576e41d8

Subscribe to this mod's changes

joss-draft is a skill published in the GitHub repository queelius/claude-anvil (2 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 2,791 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-19.

Writing and docsai-toolsclaudeclaude-code-plugin
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