aris-idea-discovery

aris-idea-discovery is a skill for Claude Code from OpenLAIR/dr-claw. It costs 74 tokens per session (3,488 once invoked), scanned A, original, no licence file.

A complete workflow for finding and checking research ideas. It starts with a broad direction, reviews related research, creates ideas, checks whether they are new, and reviews them again with small pilot tests.

In plain words
What is it for?
Use it when starting from an open research area and wanting to explore, rank, check, and pilot-test possible project directions.
Why use it?
It brings several early research tasks into one process instead of leaving the researcher to coordinate them separately. It helps narrow a broad topic into ideas with initial supporting evidence.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when starting from an open research area and wanting to explore, rank, check, and pilot-test possible project directions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openlair/dr-claw/aris-idea-discovery
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 OpenLAIR/dr-claw --skill aris-idea-discovery
Clone the repo
git clone --depth 1 https://github.com/OpenLAIR/dr-claw

Made for: Claude Code.

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 aris-idea-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/openlair/dr-claw/aris-idea-discovery/github.svg)](https://agentmods.dev/skills/openlair/dr-claw/aris-idea-discovery)
Your own site
<a href="https://agentmods.dev/skills/openlair/dr-claw/aris-idea-discovery"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/aris-idea-discovery/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 aris-idea-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/openlair/dr-claw/aris-idea-discovery"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/aris-idea-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,488 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 307
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Rogue Agent · line 307
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin unknown 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 $0.00074 $0.03488
Opus 5 $0.00037 $0.01744
Sonnet 5 $0.00015 $0.00698
Haiku 4.5 $0.00007 $0.00349

Measured 13d ago against content hash fd9e52ea8cf5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aris-idea-discovery 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 13d 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.

skills/aris-idea-discovery/SKILL.md · 328 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 13d ago First seen · 328 lines · 74 tokens per session scan A fd9e52ea8cf5

Subscribe to this mod's changes

aris-idea-discovery is a skill published in the GitHub repository OpenLAIR/dr-claw (1,093 stars, last pushed today), with no licence file. It adds 74 tokens to every session and 3,488 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

proof-checker

A rigorous proof-checking and repair skill for LaTeX mathematics. LaTeX is a text format commonly used to write mathematical documents.

AI4Scientist/nano-scientist · 90 tokens

paper-illustration

A tool for creating academic-paper illustrations such as architecture diagrams and method figures with Gemini image generation and Claude-guided revisions.

AI4Scientist/nano-scientist · 67 tokens

paper-navigator

Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA), and read with structured analysis (3-level strategy). Use when: finding papers, reading a paper, related work, citation…

AI4Scientist/nano-scientist · 141 tokens

paper-write

A section-by-section LaTeX drafting workflow based on a paper outline. LaTeX is a text-based system commonly used to format academic papers.

AI4Scientist/nano-scientist · 50 tokens

evo-memory

Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory MI (feasible/unsuccessful directions) and Experimentation Memory ME (reusable strategies for data processing, model training, architecture, debugging). Three evolution mechanisms: IDE (after…

AI4Scientist/nano-scientist · 186 tokens

experiment-pipeline

Guides structured 4-stage experiment execution with attempt budgets and gate conditions: Stage 1 initial implementation (reproduce baseline), Stage 2 hyperparameter tuning, Stage 3 proposed method validation, Stage 4 ablation study. Integrates with evo-memory (load prior strategies, trigger IVE/ESE) and…

AI4Scientist/nano-scientist · 129 tokens