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idea-discovery

skill · wanshuiyin/auto-claude-code-research-in-sleepMIT licenceAudited 31 Oct 2026 · source 1cf95b4becf0

★ 18,349pushed today
✓SAFEGrade B · 89/100 · 31 Oct 2026 · 1cf95b4
18,349repo stars · whole wanshuiyin/auto-claude-code-research-in-sleep

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 1cf95b4becf0 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Workflow 1: Full idea discovery pipeline to go from a broad research direction to validated, pilot-tested ideas. Use when user says "找idea全流程", "idea discovery pipeline", "从零开始找方向", or wants the complete idea…

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ModelsAtlas. “idea-discovery (wanshuiyin/auto-claude-code-research-in-sleep)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/wanshuiyin/idea-discovery

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 1cf95b4becf0 · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherwanshuiyin GitHub userOwner of the repository this skill is read from
  • Source folderwanshuiyin/auto-claude-code-research-in-sleep/skills/idea-discoveryThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict1cf95b4becf0A new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Workflow 1: Full idea discovery pipeline to go from a broad research direction to validated, pilot-tested ideas. Use when user says "找idea全流程", "idea discovery pipeline", "从零开始找方向", or wants the complete idea…

---
name: idea-discovery
description: "Workflow 1: Full idea discovery pipeline to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow."
argument-hint: "[research-direction]"
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Skill, mcp__codex__codex, mcp__codex__codex-reply
---

# Workflow 1: Idea Discovery Pipeline

> **Before each reviewer slot**, follow [Selectable Reviewers](../shared-references/reviewer-backends.md):
> resolve invocation → `.aris/reviewer.json` → Claude Code default (Codex MCP)
> with `reviewer_route.py` through the canonical helper resolver, preserving this
> slot's tier, fresh contexts, source/image inputs and deterministic gates.
> Codex examples/pins below apply only to `backend=codex`; other routes use their
> own first-call/reply contract. Save the route and actual returned identity;
> unavailable selections are `REVIEW_UNAVAILABLE`. Classify acceptance from actual
> families/completion/scope. Forward invocation reviewer/model/effort overrides
> to reviewer-bearing children. Generation workers are unchanged.


Orchestrate a complete idea discovery workflow for: **$ARGUMENTS**

## Overview

This skill chains sub-skills into a single automated pipeline:

```
/research-lit → /idea-creator → /novelty-check → /research-review → /research-refine-pipeline
  (survey)      (brainstorm)    (verify novel)    (critical feedback)  (refine method + plan experiments)
```

Each phase builds on the previous one's output. The final deliverables are a validated `idea-stage/IDEA_REPORT.md` with ranked ideas, plus a refined proposal (`refine-logs/FINAL_PROPOSAL.md`) and experiment plan (`refine-logs/EXPERIMENT_PLAN.md`) for the top idea.

## Constants

- **PILOT_MAX_HOURS = 2** — Skip any pilot experiment estimated to take > 2 hours per GPU. Flag as "needs manual pilot" in the report.
- **PILOT_TIMEOUT_HOURS = 3** — Hard timeout: kill any running pilot that exceeds 3 hours. Collect partial results if available.
- **MAX_PILOT_IDEAS = 3** — Run pilots for at most 3 top ideas in parallel. Additional ideas are validated on paper only.
- **MAX_TOTAL_GPU_HOURS = 8** — Total GPU budget across all pilots. If exceeded, skip remaining pilots and note in report.
- **AUTO_PROCEED = true** — When `true`, checkpoints are informational: report the selected option and continue in the same turn. Set to `false` to ask for explicit user confirmation and end the turn at each selection checkpoint.
- **REVIEWER_MODEL = `gpt-6-astra`** — Model used via Codex MCP. For `backend=codex`, use an OpenAI model (e.g., `gpt-6-astra`, `gpt-6.1-sol`). Passed to sub-skills.
- **OUTPUT_DIR = `idea-stage/`** — All idea-stage outputs go here. Create the directory if it doesn't exist.
- **ARXIV_DOWNLOAD = false** — When `true`, `/research-lit` downloads the top relevant arXiv PDFs during Phase 1. When `false` (default), only fetches metadata. Passed through to `/research-lit`.
- **COMPACT = false** — When `true`, generate compact summary files for short-context models and session recovery. Writes `idea-stage/IDEA_CANDIDATES.md` (top 3-5 ideas only) at the end of this workflow. Downstream skills read this instead of the full `idea-stage/IDEA_REPORT.md`.
- **RENDER_HTML = true** — When `true` (default), auto-render `idea-stage/IDEA_REPORT.md` to HTML at workflow end via `/render-html`. Uses `--no-review` (the source MD already went through novelty + cross-model review during Phase 3). Set `false` to skip, or pass `— render html: false`.
- **REF_PAPER = false** — Reference paper to base ideas on. Accepts: local PDF path, arXiv URL, or any paper URL. When set, the paper is summarized first (`idea-stage/REF_PAPER_SUMMARY.md`), then idea generation uses it as context. Combine with `base repo` for "improve this paper with this codebase" workflows.
- **RESUMABLE = true** — Record stage evidence under `.aris/runs/<run_id>.json` and require a deterministic evidence gate before declaring the final report complete.

> 💡 These are defaults. Override by telling the skill, e.g., `/idea-discovery "topic" — ref paper: https://arxiv.org/abs/2406.04329` or `/idea-discovery "topic" — compact: true`.

## Checkpoint execution rule

Resolve `AUTO_PROCEED` once from `$ARGUMENTS` before Phase 0 and keep that mode
for the entire workflow.

- **`AUTO_PROCEED=true` is non-blocking.** A checkpoint is a progress update,
  not a question. State the result and the automatically selected next action,
  then continue executing in the **same turn**. Do not ask for confirmation,
  request user input, sleep, wait for silence, or end the turn at a checkpoint.
- **`AUTO_PROCEED=false` is blocking.** Present the options, ask the user, and
  end the turn. Resume only after an explicit reply.

Never implement auto-proceed as “ask, then continue if there is no response.”
Once a turn ends, silence cannot resume the workflow. The user can still
interrupt a non-blocking run at any time.

This rule governs only `AUTO_PROCEED`-controlled selection checkpoints. If the
user explicitly enables a Feishu **interactive** gate, that external approval
or reply is an intentional blocking exception; wait for that user-controlled
gate rather than treating it as a silence timeout. Feishu off/push-only modes
remain non-blocking under `AUTO_PROCEED=true`.

## Per-stage evidence gate (`RESUMABLE = true`)

Resolve `run_state.py` and `idea_discovery_gate.py` through the same canonical
helper chain used by `/research-pipeline`: `.aris/tools/` → `tools/` →
`$ARIS_REPO/tools/` → `~/.aris/repo/tools/`. If either helper is unavailable,
the final report is `BLOCKED`; do not silently continue without a state record.

For a new run, derive `<run_id>` from the direction slug and date, then start
this ordered state record with `--executor <actual-Claude-model>` (for example,
`claude-sonnet-4.5`):

```text
research-lit,idea-creato

Excerpt, first 6,001 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 1cf95b4

Download folder ↗
git clone https://github.com/wanshuiyin/auto-claude-code-research-in-sleep
git -C auto-claude-code-research-in-sleep checkout 1cf95b4becf0

The author documents no install command, so this uses the repository directly. Our verdict covers commit 1cf95b4becf0 only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
CodexMentioned in its text, not testedSkills for Codex · About Codex
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 1cf95b4becf0

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/wanshuiyin/idea-discovery/badge.svg)](https://modelsatlas.com/skills/wanshuiyin/idea-discovery/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

monitor-experiment✓SAFE

wanshuiyin/auto-claude-code-research-in-sleep

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

★ 18kGrade B
novelty-check✓SAFE

wanshuiyin/auto-claude-code-research-in-sleep

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

★ 18kGrade B
idea-discovery-robot✓SAFE

wanshuiyin/auto-claude-code-research-in-sleep

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded,…

★ 18kGrade B
idea-creator✓SAFE

wanshuiyin/auto-claude-code-research-in-sleep

Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.

★ 18kGrade B
grant-proposal✓SAFE

wanshuiyin/auto-claude-code-research-in-sleep

Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO…

★ 18kGrade B
formula-derivation✓SAFE

wanshuiyin/auto-claude-code-research-in-sleep

Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula…

★ 18kGrade B

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Questions about idea-discovery

What does the idea-discovery skill do?
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Is idea-discovery safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can idea-discovery access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does idea-discovery work with?
Its documentation mentions claude-code and codex. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (1cf95b4becf0), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

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