Borrowing it
Nothing to install: this file belongs to yunshenwuchuxun/latex-paper-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yunshenwuchuxun/latex-paper-skills/main/.codex/skills/paper-from-zero/SKILL.mdgit clone --depth 1 https://github.com/yunshenwuchuxun/latex-paper-skillsWrote 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/yunshenwuchuxun/latex-paper-skills/paper-from-zero)<a href="https://agentmods.dev/skills/yunshenwuchuxun/latex-paper-skills/paper-from-zero"><img src="https://agentmods.dev/badge/skills/yunshenwuchuxun/latex-paper-skills/paper-from-zero/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/yunshenwuchuxun/latex-paper-skills/paper-from-zero"><img src="https://agentmods.dev/badge/skills/yunshenwuchuxun/latex-paper-skills/paper-from-zero.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 | $0.00041 | $0.01339 |
| Opus 5 | $0.00020 | $0.00669 |
| Sonnet 5 | $0.00008 | $0.00268 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
paper-from-zero 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 12d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper-From-Zero
Use this skill when the user already has a topic/domain and wants a structured path from topic -> innovation framing -> evidence plan -> draft-ready paper workflow.
This skill is the front door of the paper stack:
- It decides whether the work is best treated as a
revieworempiricalpaper. - It actively searches literature and frames the contribution.
- It produces the handoff contract used by the downstream writer skill.
When to Use
- The topic is known, but the paper structure and contribution are not yet pinned down.
- The user wants the model to search for candidate innovation angles.
- The user wants a rigorous pre-writing stage before draft generation.
When NOT to Use
- The user already has a finished review outline and only wants review execution.
- The user already has an experimental paper contract and only wants draft execution.
- The task is non-academic or does not need citation-grounded writing.
Outputs
brief/topic-brief.mdbrief/contribution-map.yamlbrief/evidence-matrix.csvnotes/innovation/(innovation candidates + evidence links; recommended)plan/outline-contract.mdplan/router-decision.md- A routing decision to one downstream writer:
../arxiv-paper-writer/SKILL.mdfor review papers../empirical-paper-writer/SKILL.mdfor experimental papers
Workflow
- Confirm the topic, constraints, and whether the user already has a preferred innovation.
- Actively search literature and build a compact literature map.
- Produce 3-5 candidate innovation/contribution framings unless the user already supplied one.
- Kill weak framings early: reject ideas that lack a clear gap, evidence path, or falsifiable claim.
- Build a contribution map:
- primary claim
- secondary claims
- non-goals / out-of-scope claims
- risk factors / likely reviewer objections
- Build an evidence matrix for every claim:
- required citations
- required visuals/tables
- required experiments (if any)
- what may remain placeholder vs what must be verified before finalization
- Produce an outline contract with section goals, citation quotas, and figure quotas.
- Route:
review-> use../arxiv-paper-writer/SKILL.mdempirical-> use../empirical-paper-writer/SKILL.md
What ships with it
11 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.
- assets/contribution-map-template.yaml 410 B
- assets/evidence-matrix-template.csv 133 B
- assets/outline-contract-template.md 846 B
- assets/router-decision-template.md 287 B
- assets/topic-brief-template.md 486 B
- references/architecture.md 930 B
- references/handoff-contract.md 1.9 KB
- references/innovation-framing.md 806 B
- references/routing-policy.md 720 B
- scripts/route_and_invoke.py 4.6 KB runs code
- validate_handoff.py 8.5 KB runs code
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.
- 12d ago First seen · 119 lines · 41 tokens per session scan A fdc216e0764c
paper-from-zero is a skill published in the GitHub repository yunshenwuchuxun/latex-paper-skills (259 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 1,339 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 2026-08-30.
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