Borrowing it
Nothing to install: this file belongs to Guo-Chenxu/paper-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Guo-Chenxu/paper-agent/main/.claude/skills/research-idea-generator/SKILL.mdgit clone --depth 1 https://github.com/Guo-Chenxu/paper-agentWrote 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/guo-chenxu/paper-agent/research-idea-generator)<a href="https://agentmods.dev/skills/guo-chenxu/paper-agent/research-idea-generator"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/research-idea-generator/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/guo-chenxu/paper-agent/research-idea-generator"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/research-idea-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00043 | $0.01626 |
| Opus 5.5 | $0.00017 | $0.00650 |
| Sonnet 5.5 | $0.00009 | $0.00325 |
| Haiku 4.5 | $0.00004 | $0.00163 |
Grade A, and why
research-idea-generator 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Idea Generator
Skill Goal
Systematic research idea generation and evaluation workflow:
- Analyze paper summaries to build research knowledge graph
- Identify research gaps and opportunities
- Multi-agent parallel idea generation (3+ agents, 5+ ideas each)
- Idea evaluation and ranking by innovation, feasibility, and impact
- Adversarial review and refinement of top ideas
- Detailed research proposal generation
When To Use
- Have completed paper collection and screening
- Need to generate novel research ideas from literature review
- Want systematic gap analysis and idea evaluation
- Require detailed research proposals with background, hypothesis, and methodology
Environment
Run from the repository root with active Python interpreter.
Required packages:
python -m pip install requests tqdm
Scripts
- Export idea generation prompt pack:
./scripts/export_idea_prompts.py - Build final research ideas report:
./scripts/build_research_ideas_report.py
The export_idea_prompts.py script is domain-agnostic and accepts:
--research-domain: Your research field (e.g., "machine learning", "computer vision", "natural language processing")--summaries-dir: Directory with paper summaries--num-agents: Number of idea generation agents (default: 3)--ideas-per-agent: Ideas per agent (default: 5)--experiment-constraints: Optional constraints (e.g., "Single server only")
References
- Idea generation workflow and prompts:
./references/idea-generation.md
Workflow
Step 1: Load Paper Summaries
Load structured paper summaries from previous screening workflow:
# Summaries should be in ./paper_summaries/ directory
ls ./paper_summaries/*.md
Step 2: Build Research Knowledge Graph
Analyze all paper summaries to construct knowledge graph covering:
- Solved problems: What has been thoroughly addressed
- Open problems: What remains unsolved or partially solved
- Common limitations: Shared weaknesses across existing methods
- Cross-domain opportunities: Potential for technique transfer
- Emerging trends: Recent breakthroughs applicable to the domain
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 235 lines · 43 tokens per session scan A 451bb63bc43d
research-idea-generator is a skill published in the GitHub repository Guo-Chenxu/paper-agent (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,626 once invoked, about $0.0002 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 2026-08-31.
research-idea-generator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research-idea-generatorGuo-Chenxu/paper-agent | Skill | 4 | 2d ago | Apache-2.0 | A | 43 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |