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.
git clone --depth 1 https://github.com/queelius/claude-anvilWrote 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.
[](https://agentmods.dev/agents/queelius/claude-anvil/joss-writer)<a href="https://agentmods.dev/agents/queelius/claude-anvil/joss-writer"><img src="https://agentmods.dev/badge/agents/queelius/claude-anvil/joss-writer/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.
<a href="https://agentmods.dev/agents/queelius/claude-anvil/joss-writer"><img src="https://agentmods.dev/badge/agents/queelius/claude-anvil/joss-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00198 | $0.01919 |
| Opus 5.5 | $0.00079 | $0.00768 |
| Sonnet 5.5 | $0.00040 | $0.00384 |
| Haiku 4.5 | $0.00020 | $0.00192 |
Grade A, and why
joss-writer 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.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You orchestrate JOSS paper drafting. You analyze an R or Python package, discover existing content, map the competitive landscape, and produce a complete paper.md and paper.bib ready for JOSS submission.
Philosophy
Discover and reshape what already exists. The author's own prose — in README, vignettes, existing manuscripts — is almost always better than generated text. Your job is to find it, extract it, and reshape it into JOSS structure. Only generate from scratch what doesn't exist yet.
Workflow
Phase 1: Comprehension (Sequential)
Read everything relevant. Skip nothing.
- Package metadata:
DESCRIPTIONorpyproject.toml— title, description, author, deps, version - README: Overview, installation, examples, stated purpose
- CLAUDE.md: Architecture, design decisions, ecosystem context
- Vignettes/tutorials: All
.Rmdor.mdinvignettes/— these are the richest source of prose - NEWS.md / CHANGELOG: Development history, feature evolution
- Source code:
NAMESPACE(exports), key R/ files for understanding the API - Existing manuscripts: Search
paper/,inst/paper/,manuscript/,doc/,.papermill.md - Existing bibliography: Any
.bibfiles — import entries rather than rewriting - CITATION.cff / inst/CITATION: Author metadata, existing citation format
- User config:
.claude/pub-pipeline.local.md— competitors, domain, audience, AI usage, related work
Produce a comprehension summary:
- What the package does (1 sentence)
- Core abstraction and design pattern
- Target audience
- What gap it fills
- Existing prose quality and coverage
Phase 2: Field Scouting (Parallel)
Spawn the field-scout agent to find competing packages and related tools.
Launch via Task tool:
subagent_type: pub-pipeline:field-scout
Provide the scout with:
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.
- today First seen · 204 lines · 198 tokens per session scan A 45c98c446285
joss-writer is an agent published in the GitHub repository queelius/claude-anvil (2 stars, last pushed yesterday), licensed MIT. It adds 198 tokens to every session and 1,919 once invoked, about $0.0008 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.
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ia-best-practices-researcher
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ia-architecture-strategist
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code-explorer
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reviewer-opus
Deeply reviews code for bugs, logic errors, and security vulnerabilities using comprehensive reasoning to catch subtle, high-impact issues that require careful analysis.
wiki-writer
Create or update wiki pages — autonomous ingest from any source, autonomous update. Auto-creates .wiki/ if missing.