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
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 wanshuiyin/Auto-claude-code-research-in-sleep --skill research-wikigit clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepWrote 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/research-wiki)<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/research-wiki"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/research-wiki/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/research-wiki"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/research-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00073 | $0.05408 |
| Opus 5.5 | $0.00029 | $0.02163 |
| Sonnet 5.5 | $0.00015 | $0.01082 |
| Haiku 4.5 | $0.00007 | $0.00541 |
Grade A, and why
research-wiki 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 19d 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
2 near-identical copies found in the catalogue:
- research-wiki — 100% identical, 5 lines differ
- research-wiki — 88% identical, 121 lines differ
How it starts
The opening of the file, as written. The whole thing — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Wiki: Persistent Research Knowledge Base
Subcommand: $ARGUMENTS
Overview
The research wiki is a persistent, per-project knowledge base that accumulates structured knowledge across the entire ARIS research lifecycle. Unlike one-off literature surveys that are used and forgotten, the wiki compounds — every paper read, idea tested, experiment run, and review received makes the wiki smarter.
Inspired by Karpathy's LLM Wiki pattern: compile knowledge once, keep it current, don't re-derive on every query.
Core Concepts
Four Entity Types
| Entity | Directory | Node ID format | What it represents |
|---|---|---|---|
| Paper | papers/ |
paper:<slug> |
A published or preprint research paper |
| Idea | ideas/ |
idea:<id> |
A research idea (proposed, tested, or failed) |
| Experiment | experiments/ |
exp:<id> |
A concrete experiment run with results |
| Claim | claims/ |
claim:<id> |
A theorem/headline with an honest PROOF status — born via /proof-checker (see Hook 4) |
Typed Relationships (graph/edges.jsonl)
| Edge type | From → To | Meaning |
|---|---|---|
extends |
paper → paper | Builds on prior work |
contradicts |
paper → paper | Disagrees with results/claims |
addresses_gap |
paper|idea → gap | Targets a known field gap |
inspired_by |
idea → paper | Idea sourced from this paper |
tested_by |
idea|claim → exp | Tested in this experiment |
supports |
exp → claim|idea | Experiment confirms claim |
invalidates |
exp → claim|idea | Experiment disproves claim |
supersedes |
paper → paper | Newer work replaces older |
Edges are stored in graph/edges.jsonl only. The ## Connections section on each page is auto-generated from the graph — never hand-edit it.
Capture hygiene (anti-self-poisoning)
Before persisting an idea / claim / experiment note, screen it for
operational noise that would harden into a self-cited falsehood (see
shared-references/capture-antipatterns.md).
Resolve the helper via the canonical chain (integration-contract §2):
.aris/tools/capture_filter.py → tools/capture_filter.py →
$ARIS_REPO/tools/capture_filter.py (warn-and-skip if unresolved). Run
python3 <capture_filter> - on the note text; if it flags env-failure /
transient-error / negative-tool-claim, do NOT store it as a durable node —
rewrite it to the fix / missing config / workaround, or drop it. Never store
"codex/gemini/the reviewer can't do X" — that gets loaded into every future
session and cited against the agent long after the real cause is gone. (The wiki's
"failed ideas → anti-repeat memory" is the GOOD inverse: a class-level research
finding, not operational noise.)
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.
- 19d ago Changed · +1 lines 564eea3ad9e8
- 2mo ago First seen · 462 lines · 73 tokens per session scan A 3bd314f83f2d
research-wiki is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (19,107 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 5,408 once invoked, about $0.0003 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.
research-wiki compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research-wikiwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 2d ago | MIT | A | 73 | Claude Code |
| memoryMuuuun/luxas | Skill | 1.2k | 5d ago | MIT | A | 24 | Claude Code |
| newcrisandrews/ClawCode | Skill | 64 | yesterday | MIT | A | 54 | Claude Code |
| compactcrisandrews/ClawCode | Skill | 64 | yesterday | MIT | A | 43 | Claude Code |
| session_logsericwang915/PythonClaw | Skill | 47 | 1mo ago | MIT | A | 55 | Claude Code, Codex |
| requeryjun0-ds/sonmat | Skill | 5 | yesterday | BSD-3-Clause | A | 84 | Claude Code |
| onboardRockielab/rockie-claude | Skill | 23 | 1mo ago | Apache-2.0 | A | 117 | Claude Code |