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Agent skill · Audited from source

idea-creator

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: 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.

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Cite this page

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

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low1 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 directivesPASS1
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (1)

INFOPrompt injectionprompt.authority_framing · SKILL.md:309
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
You are a senior ML researcher brainstorming research ideas.
Why
No further detail recorded for this rule.
Fix
—

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-creatorThe 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: 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.

---
name: idea-creator
description: 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.
argument-hint: "[research-direction]"
allowed-tools: Bash(*), Read, Write, Grep, Glob, WebSearch, WebFetch, Agent(aris-fanout-leaf), Skill, mcp__codex__codex, mcp__codex__codex-reply, mcp__manual_review__review, mcp__manual_review__review_reply, mcp__antigravity__antigravity, mcp__antigravity__antigravity-reply, mcp__grok__grok, mcp__grok__grok-reply, mcp__claude-review__review, mcp__claude-review__review_reply, mcp__claude-review__review_start, mcp__claude-review__review_reply_start, mcp__claude-review__review_status
---

# Research Idea Creator

> **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.


Generate publishable research ideas for: $ARGUMENTS

## Overview

Given a broad research direction from the user, systematically generate, validate, and rank concrete research ideas. Standalone, Phase 1's landscape survey is **inline** (WebSearch — it does not invoke `/research-lit`); Phases 4-5 invoke `/novelty-check`, `/run-experiment`, and `/monitor-experiment` for validation and pilots. For the full sub-skill pipeline (`/research-lit` → idea generation → `/novelty-check` → `/research-review`), run `/idea-discovery` (Workflow 1), which orchestrates this skill.

## Constants

Reviewer overrides apply to Phase 4 and reviewer-bearing children. Phase 2
brainstorming and native lens workers keep their existing generation model; do
not pass a selected MCP reviewer model into a native generation call.

- **PILOT_MAX_HOURS = 2** — Skip any pilot estimated to take > 2 hours per GPU. Flag as "needs manual pilot".
- **PILOT_TIMEOUT_HOURS = 3** — Hard timeout: kill pilots exceeding 3 hours. Collect partial results if available.
- **MAX_PILOT_IDEAS = 3** — Pilot at most 3 ideas in parallel. Additional ideas are validated on paper only.
- **MAX_TOTAL_GPU_HOURS = 8** — Total GPU budget for all pilots combined.
- **REVIEWER_MODEL = `gpt-6-astra`** — Default for `backend=codex`; generation keeps its existing model. Review models come from the selected route. For manual review, require a recognized actual reviewer model different from the actual executor family; never infer the executor family from the Claude Code host.
- **REVIEWER_BACKEND = `codex`** — Default: Codex MCP (xhigh). Override with `— reviewer: oracle-pro` for Oracle MCP, or `— reviewer: manual` for Manual Review MCP. If manual-review MCP is unavailable, stop and print the install command; do not fall back to Codex. See `shared-references/reviewer-routing.md`.
- **OUTPUT_DIR = `idea-stage/`** — All idea-stage outputs go here. Create the directory if it doesn't exist.

> 💡 Override via argument, e.g., `/idea-creator "topic" — pilot budget: 4h per idea, 20h total`.

## Reviewer Calling Convention

When calling the reviewer for idea evaluation, branch on REVIEWER_BACKEND:

**If REVIEWER_BACKEND = `codex`:**
  Use `mcp__codex__codex` for new review threads.
  Use `mcp__codex__codex-reply` for follow-up rounds (reuse threadId).

**If REVIEWER_BACKEND = `manual`:**
  Use `mcp__manual_review__review` for new review threads with:
    prompt: [exact same prompt that would go to Codex]
    config: {"model_reasoning_effort": "xhigh", "executor_model": "<actual executor model>", "require_reviewer_model": true}
  Save the returned `threadId`.
  Use `mcp__manual_review__review_reply` for follow-up rounds with:
    threadId: [saved manual-review threadId]
    prompt: [follow-up prompt]
    config: {"model_reasoning_effort": "xhigh", "executor_model": "<actual executor model>", "require_reviewer_model": true}

Content fidelity: the manual reviewer should see the same substantive bundle
content Codex would read. If the manual UI supports file upload / attachment,
reuse the same bundle file; otherwise paste the bundle contents inline because
remote web UIs cannot read your local filesystem paths. Review tracing applies
equally to both backends.

## Workflow

### Phase 0: Load Research Wiki (if active)
  A verdict-bearing manual response MUST begin with
  `Reviewer-Model: <exact-model-id>` — pass the model THIS session is actually
  running as in `executor_model`. Missing, unknown, or same-family identity
  cannot acquit; emit `REVIEW_UNAVAILABLE` rather than guessing. If the executor
  model cannot be named, manual review's cross-family claim is unprovable — say
  so in the report instead of asserting it.


**Skip this phase entirely if `research-wiki/` does not exist.**

If `research-wiki/` exists, resolve the canonical helper using the
shared resolution chain (see `../research-wiki/SKILL.md` for the
contract):

```bash
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
ARIS_REPO="${ARIS_REPO:-}"
ARIS_HOME="${HOME:-}"
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
  ARIS_REPO=$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true
fi
if [ -z "${ARIS_REPO:-}" ] && [ -n "$ARIS_HOME" ] && [ -f "$ARIS_HOME/.aris/repo" ]; then
  ARIS_REPO=$(cat "$ARIS_HOME/.aris/repo" 2>/dev/null) || true
fi
WIKI_SCRIPT=".aris/tools/research_wiki.py"
[ -f "$WIKI_SCRIPT" ] || WIKI_SCRIP

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-creator/badge.svg)](https://modelsatlas.com/skills/wanshuiyin/idea-creator/)

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-discovery✓SAFE

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

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…

★ 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

Add this badge to your README

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Questions about idea-creator

What does the idea-creator 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-creator 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-creator access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does idea-creator 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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