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grant-proposal

skill · wanshuiyin/auto-claude-code-research-in-sleepMIT licenceAudited 30 Oct 2026 · source 1cf95b4becf0

★ 18,333pushed today
✓SAFEGrade B · 89/100 · 30 Oct 2026 · 1cf95b4
18,333repo 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: 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…

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ModelsAtlas. “grant-proposal (wanshuiyin/auto-claude-code-research-in-sleep)”. Retrieved 30 Oct 2026. https://modelsatlas.com/skills/wanshuiyin/grant-proposal

2 skills are called “grant-proposal”. You are viewing wanshuiyin/auto-claude-code-research-in-sleep.

Trust audit

Audit 0.4.1 · source read 30 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 · 30 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/grant-proposalThe 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: 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…

---
name: grant-proposal
description: "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 (Netherlands), and generic formats. Use when user says \"write grant\", \"grant proposal\", \"申請書\", \"write KAKENHI\", \"科研費\", \"基金申请\", \"写基金\", \"NSF proposal\", or wants to turn research ideas into a funding application."
argument-hint: "[research-direction — grant-type] [— style-ref: <source>]"
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, WebSearch, WebFetch, Skill, mcp__codex__codex, mcp__codex__codex-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
---

# Grant Proposal: From Research Ideas to Fundable Application

> **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.


Draft a grant proposal based on: **$ARGUMENTS**

## Overview

This skill turns validated research ideas into a structured, reviewer-ready grant proposal. It chains sub-skills into a grant-specific pipeline:

```
/research-lit → /novelty-check → [structure design] → [draft] → /research-review → [revise] → GRANT_PROPOSAL.md
  (survey)      (verify gap)     (aims + matrix)     (prose)    (panel review)     (fix)      (done!)
```

**This is a parallel branch, not part of the linear Workflow 1→1.5→2→3 pipeline.** After `/idea-discovery` produces validated ideas, the user can either:
- Go to `/experiment-bridge` → `/auto-review-loop` → `/paper-writing` (implement & publish)
- Go to `/grant-proposal` (write funding application first, then implement after funding)

```
                    ┌→ /experiment-bridge → /auto-review-loop → /paper-writing  (publish track)
/idea-discovery ────┤
                    └→ /grant-proposal → [get funded] → /experiment-bridge → ...  (funding track)
```

Grant proposals argue for **future work** (feasibility + potential), not completed work (results + claims). This skill handles the unique requirements of grant writing: narrative arc design, reviewer-facing structure, budget justification, timeline planning, and agency-specific formatting.

## Constants

- **GRANT_TYPE = `KAKENHI`** — Default grant type. Supported: `KAKENHI`, `NSF`, `NSFC`, `ERC`, `DFG`, `SNSF`, `ARC`, `NWO`, `GENERIC`. Override via argument (e.g., `/grant-proposal "topic — NSF"`).
- **GRANT_SUBTYPE = `auto`** — Sub-type within the grant agency. Examples: KAKENHI `Start-up`/`Wakate`/`Kiban-B`; NSFC `Youth`/`Excellent-Youth`/`Distinguished`/`Overseas`/`Key`; NSF `CAREER`/`CRII`/`Standard`. Auto-detected from argument or defaults to the most common sub-type.
- **REVIEWER_MODEL = `gpt-6-astra`** — Model used via Codex MCP for proposal review. For `backend=codex`, use an OpenAI model (e.g., `gpt-6-astra`, `gpt-6.1-sol`).
- **OUTPUT_FORMAT = `markdown`** — Output format. Supported: `markdown`, `latex`. LaTeX uses grant-specific templates when available.
- **MAX_REVIEW_ROUNDS = 2** — Maximum external review-revise cycles before finalizing.
- **OUTPUT_DIR = `grant-proposal/`** — Directory for generated proposal files.
- **LANGUAGE = `auto`** — Output language. Auto-detected from grant type: KAKENHI→Japanese, NSF→English, NSFC→Chinese, ERC→English, DFG→English (or German), SNSF→English, ARC→English, NWO→English. Override explicitly if needed.
- **AUTO_PROCEED = false** — At each checkpoint, **always wait for explicit user confirmation** before proceeding. Grant proposals require PI-specific judgment at every stage. Set `true` only if user explicitly requests fully autonomous mode.

> 💡 These are defaults. Override by telling the skill, e.g., `/grant-proposal "topic — NSF CAREER, latex output"` or `/grant-proposal "topic — NSFC Youth, language: English"`.

## Optional: Style reference (`— style-ref: <source>`, opt-in)

Lets the PI steer the proposal's **structural** layout (section order tendency, paragraph length, figure density, citation style) toward a successful past proposal or paper they'd like to mirror. **Default OFF — when the user does not pass `— style-ref`, do nothing differently from before.**

Only when `— style-ref: <source>` appears in `$ARGUMENTS`, run the helper FIRST, before drafting:

```bash
# Resolve $STYLE_HELPER via the canonical strict-safe chain (see
# shared-references/integration-contract.md §2). Policy A — gate:
# unresolved helper means --style-ref cannot be satisfied, so abort.
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
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:-}" ] && [ -f "$HOME/.aris/repo" ]; then
    ARIS_REPO=$(cat "$HOME/.aris/repo" 2>/dev/null) || true
fi
STYLE_HELPER=".aris/tools/extract_paper_style.py"
[ -f "$STYLE_HELPER" ] || STYLE_HELPER="tools/extract_paper_style.py"
[ -f "$STYLE_HELPER" ] || { [ -n "${ARIS_REPO:-}" ] && STYLE_HELPER="$ARIS_REPO/tools/extract_paper_style.py"; }
[ -f "$STYLE_HELPER" ] || {
  echo "ERROR: extract_paper_style.py not re

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/grant-proposal/badge.svg)](https://modelsatlas.com/skills/wanshuiyin/grant-proposal/)

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
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
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 grant-proposal

What does the grant-proposal 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 grant-proposal 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 grant-proposal access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does grant-proposal 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 2026-10-30. The repository is watched, and a new audit runs when it changes — this is the first audit.

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