iclr

iclr is a skill for Claude Code, Codex from nanoAgentTeam/research-claw. It costs 39 tokens per session (2,809 once invoked), scanned A, original, MIT.

A paper-formatting guide for ICLR, the International Conference on Learning Representations. It helps set up or fix the LaTeX template for an ICLR submission.

In plain words
What is it for?
Use it to prepare an ICLR paper, confirm the target submission year, acquire the required template files, and correct format issues.
Why use it?
It reduces formatting, citation, and submission-checklist mistakes when preparing an ICLR paper.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/nanoagentteam/research-claw/iclr
Any agent
npx skills add nanoAgentTeam/research-claw --skill iclr
Clone the repo
git clone --depth 1 https://github.com/nanoAgentTeam/research-claw

Made for: Claude Code, Codex.

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 iclr

README.md
[![agentmods](https://agentmods.dev/badge/skills/nanoagentteam/research-claw/iclr.svg)](https://agentmods.dev/skills/nanoagentteam/research-claw/iclr)
Your own site
<a href="https://agentmods.dev/skills/nanoagentteam/research-claw/iclr"><img src="https://agentmods.dev/badge/skills/nanoagentteam/research-claw/iclr.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,809 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00039 $0.02809
Opus 5 $0.00019 $0.01404
Sonnet 5 $0.00008 $0.00562
Haiku 4.5 $0.00004 $0.00281

Measured 6d ago against content hash 324abd162699, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

iclr 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.

config/.skills/iclr/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.

[SKILL: ICLR PAPER FORMAT]

Activate when: user mentions ICLR, International Conference on Learning Representations, or asks to use the ICLR template.

Execution Protocol

After this skill is activated, select the matching scenario based on user intent.

Shared Common Workflow

Before venue-specific template steps, also load and follow ml-paper-writing skill.

At minimum, apply these shared references:

  • writing-guide.md (narrative and clarity)
  • citation-workflow.md (verified citations; no hallucinations)
  • reviewer-guidelines.md (reviewer-facing quality checks)
  • checklists.md (pre-submission gates)

Built-in template: templates/iclr2026/ (referred to as TEMPLATES_DIR below), targeting ICLR 2026. Contents: iclr2026_conference.sty, iclr2026_conference.bst, iclr2026_conference.tex, iclr2026_conference.bib, math_commands.tex, fancyhdr.sty, natbib.sty.

Pre-step: Year Confirmation & Template Acquisition

This step MUST be completed before any scenario below.

  1. Confirm the target year with the user (default: latest available year).
  2. Check whether TEMPLATES_DIR exists and includes required files: iclr2026_conference.sty, iclr2026_conference.bst, iclr2026_conference.tex, math_commands.tex, fancyhdr.sty, natbib.sty.
  3. Use local built-in template only when BOTH conditions hold:
    • target year = 2026
    • files in TEMPLATES_DIR are complete
  4. If either condition fails (target year is not 2026 OR local template files are missing/incomplete):
    • Inform the user local built-in template is unavailable or year-mismatched.
    • Guide the user to download the correct Author Kit from:
      • Official website: https://iclr.cc → target year → "Author Guidelines" or "Submission Instructions"
      • OpenReview: template link on the target-year submission page
      • Overleaf fallback: search "ICLR [year] Conference Paper Template" on https://www.overleaf.com/latex/templates
    • Unzip downloaded files directly into <PROJECT_CORE>.
    • All subsequent steps must use the downloaded year-specific filenames (e.g., iclr2025_conference.sty).
  5. Filename substitution rule for all steps below:
    • Treat iclr2026_conference in commands/examples as a placeholder for the resolved style basename from the selected .sty file.
    • Example: if the downloaded file is iclr2025_conference.sty, replace iclr2026_conference with iclr2025_conference everywhere (\\usepackage, \\bibliographystyle, copy commands, checklist checks).

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. 6d ago First seen · 258 lines · 39 tokens per session scan A 324abd162699

Subscribe to this mod's changes

iclr is a skill published in the GitHub repository nanoAgentTeam/research-claw (292 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 2,809 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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