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.
npx skills add Mathews-Tom/armory --skill paper-to-skillgit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/skills/mathews-tom/armory/paper-to-skill)<a href="https://agentmods.dev/skills/mathews-tom/armory/paper-to-skill"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/paper-to-skill/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/skills/mathews-tom/armory/paper-to-skill"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/paper-to-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01502 |
| Opus 5 | $0.00035 | $0.00751 |
| Sonnet 5 | $0.00014 | $0.00300 |
| Haiku 4.5 | $0.00007 | $0.00150 |
Grade A, and why
paper-to-skill 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.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper-to-Skill Pipeline
Transform research papers into production-grade skill packages. The pipeline extracts the actionable methodology from a paper, structures it as a skill specification, and feeds it through co-evolutionary refinement to produce a validated package.
This closes the loop between research and practice: a paper published today can become an executable skill tomorrow, without manual authoring.
Reference Files
| File | Contents | Load When |
|---|---|---|
references/extraction-patterns.md |
Patterns for extracting methodology from papers | Always |
Prerequisites
- The
to-markdownskill (for PDF/document conversion) - The
research-critiqueskill (for paper analysis) - The
test-engineeragent (for co-evolutionary skill generation)
Workflow
Phase 1: Paper Intake
Accept the paper in any supported format:
| Input Format | Action |
|---|---|
| arXiv ID (e.g., 2604.01687) | Fetch via https://arxiv.org/abs/<id>, convert PDF |
| arXiv URL | Extract ID, fetch and convert |
| PDF file path | Convert using to-markdown skill |
| URL to paper | Fetch via WebFetch, convert if PDF |
| Pasted text | Use directly |
For PDF conversion, invoke the to-markdown skill:
Convert this PDF to clean markdown, preserving section structure, tables, equations, and algorithm pseudocode. Drop references section but keep inline citations.
Phase 2: Critical Analysis
Invoke the research-critique skill on the converted paper:
Analyze this paper focusing on:
- Core contribution: what is the novel methodology?
- Algorithm description: extract the step-by-step procedure
- Input/output specification: what goes in, what comes out?
- Key parameters and their valid ranges
- Claimed results and the evidence supporting them
- Failure modes and limitations acknowledged by the authors
- Prerequisites and dependencies (tools, data, compute)
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.
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.
- 9d ago First seen · 176 lines · 70 tokens per session scan A d41b8a094e66
paper-to-skill is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed 3d ago), licensed MIT. It adds 70 tokens to every session and 1,502 once invoked, about $0.0003 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 2026-08-30.
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