preregister-paper

preregister-paper is a skill for Claude Code from airas-org/airas. It costs 117 tokens per session (2,181 once invoked), scanned A, original, MIT.

A preregistration workflow for writing a research paper before experiments run. Preregistration records the hypothesis, predictions, and experimental design in advance so they can be compared with later results.

In plain words
What is it for?
Use it to document hypotheses, expected result ranges, evaluation criteria, models, datasets, metrics, and compute requirements before running experiments.
Why use it?
It makes the original research plan traceable and reduces the risk of changing claims after seeing the data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the airas plugin — 9 skills, 3 hooks, 1 MCP server shipped together

Good fit Use it to document hypotheses, expected result ranges, evaluation criteria, models, datasets, metrics, and compute requirements before running experiments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/airas-org/airas/preregister-paper
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 airas-org/airas --skill preregister-paper
Clone the repo
git clone --depth 1 https://github.com/airas-org/airas

Made for: Claude Code.

Or install airas, the plugin that ships this one along with the rest of its 9 skills, 3 hooks, 1 MCP server.

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 preregister-paper

README.md
[![agentmods](https://agentmods.dev/badge/skills/airas-org/airas/preregister-paper/github.svg)](https://agentmods.dev/skills/airas-org/airas/preregister-paper)
Your own site
<a href="https://agentmods.dev/skills/airas-org/airas/preregister-paper"><img src="https://agentmods.dev/badge/skills/airas-org/airas/preregister-paper/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 preregister-paper

Your own site · 80×15
<a href="https://agentmods.dev/skills/airas-org/airas/preregister-paper"><img src="https://agentmods.dev/badge/skills/airas-org/airas/preregister-paper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,181 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00117 $0.02181
Opus 5 $0.00059 $0.01091
Sonnet 5 $0.00023 $0.00436
Haiku 4.5 $0.00012 $0.00218

Measured 6d ago against content hash 72712c434be7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

preregister-paper 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 6d 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.

plugins/airas/skills/preregister-paper/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preregister the paper

You write the paper before the experiments, from the hypothesis and experimental design alone. The commit that adds this paper is the preregistration record: every claim, criterion and expected result is frozen in git history before any result exists, so nothing can be quietly rewritten to fit the data later. Runs are expected to descend from this commit.

main.tex lives in .research/latex/{template}/, where {template} is one of the bundled template directories (iclr2024, mdpi, agents4science_2025) — the name the verification tools address the paper by. The directory is only a slot: use the bundled style or your own preamble, keeping the usual structure (title, abstract, numbered sections, figures, bibliography). Write in the user's working language; a CJK paper needs a LuaTeX preamble (luatexja-fontspec — pdflatex silently drops non-Latin text from the PDF). This skill only changes when the paper is written and how Results are stated.

Preconditions

  • A local clone of the experiment repository.
  • Hypothesis and experimental design exist — in .research/research_history.json, or supplied by the user. The design must fix the run ids (e.g. proposed, baseline) and the metrics; if it does not, settle those with the user first, because the placeholders below are named after them.

Steps

  1. Create the canonical record with preregister_record. This writes .research/record.json — the machine-readable original the whole verification system keys on. The record is a tree, read as "to support this hypothesis, these claims; to verify this claim, these designs; a design is these runs":

    hypotheses: [{
      "id": "h1", "statement": "the hypothesis, in prose",
      "claims": [{
        "id": "c1", "statement": "one assertive sentence",
        "designs": [{
          "id": "d1", "summary": "...",
          "runs": [{"run_id": "proposed-...", "description": "...",
                    "params": {"mode": "full"}}]
        }]
      }],
      "tables": [...], "notes": [...]
    }]
    

Read the full file on GitHub · 174 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. 6d ago First seen · 174 lines · 117 tokens per session scan A 72712c434be7

Subscribe to this mod's changes

preregister-paper is a skill published in the GitHub repository airas-org/airas (33 stars, last pushed today), licensed MIT. It adds 117 tokens to every session and 2,181 once invoked, about $0.0006 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 2026-09-04.

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