ARIS is a collection of Markdown-based skills that define a workflow for autonomous machine-learning research, including idea discovery, experiment automation, and review loops. Researchers and AI coding agents use it across tools such as Claude Code, Codex, Cursor, and OpenClaw without depending on a single framework. The catalogue entries are ARIS workflow skills and agents.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepnpx agentmods add skills/wanshuiyin/auto-claude-code-research-in-sleep/slides-polishWrote 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/wanshuiyin/auto-claude-code-research-in-sleep/slides-polish)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/slides-polish"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/slides-polish/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/wanshuiyin/auto-claude-code-research-in-sleep/slides-polish"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/slides-polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00136 | $0.07865 |
| Opus 5.5 | $0.00054 | $0.03146 |
| Sonnet 5.5 | $0.00027 | $0.01573 |
| Haiku 4.5 | $0.00014 | $0.00787 |
Grade A, and why
slides-polish 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- slides-polish — 94% identical, 51 lines differ
How it starts
The opening of the file, as written. The whole thing — 579 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slides Polish: Per-Page Codex Review + Targeted Layout Fixes
Before each reviewer slot, follow Selectable Reviewers: resolve invocation →
.aris/reviewer.json→ Codex default (fresh native reviewer) withreviewer_route.pythrough the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only tobackend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections areREVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.
Polish a generated slide deck — Beamer (.tex + .pdf) and/or PPTX — by
running per-page Codex review against a reference visual and applying
surgical fixes (font scaling, text-frame resize, callout-box style, em-dash
spacing, anonymity placeholders, Chinese-font hints, italic style leaks)
until each slide reads at the same visual weight as the reference.
Polish: $ARGUMENTS
What This Skill Is — and Is NOT
This skill polishes layout and typography only. It is the post-generation visual pass for an existing deck.
Hard scope rules (load-bearing — see Hard Invariants):
- It does not rewrite content, claims, numbers, citations, URLs, author names, affiliations, or experiment results.
- It does not add, remove, or reorder slides unless the user explicitly
asks (e.g.,
— add-slide/— drop-slideflags). - It does not generate outlines, speaker scripts, or new Beamer/PPTX from
paper source. That is
/paper-slides's job. - It does not change figures or equations content.
If you do not yet have a deck, run /paper-slides first. If you want to
change content, go back to /paper-slides Phases 1-2 (or rewrite the outline
manually) — do not run /slides-polish for that.
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.
- 3d ago Changed e496783d0ba0
- 8d ago Changed · +15 lines 48ecd4303711
- 1mo ago Changed 7eb6782a599d
- 1mo ago First seen · 564 lines · 136 tokens per session scan A 6c61a3d98859
slides-polish is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (18,176 stars, last pushed 3d ago), licensed MIT. It adds 136 tokens to every session and 7,865 once invoked, about $0.0005 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 2026-09-03.
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