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.
npx skills add Agentic-Assets/corbis-literature-starter-kit --skill research-idea-generatorgit clone --depth 1 https://github.com/Agentic-Assets/corbis-literature-starter-kitWrote 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/agentic-assets/corbis-literature-starter-kit/research-idea-generator)<a href="https://agentmods.dev/skills/agentic-assets/corbis-literature-starter-kit/research-idea-generator"><img src="https://agentmods.dev/badge/skills/agentic-assets/corbis-literature-starter-kit/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/agentic-assets/corbis-literature-starter-kit/research-idea-generator"><img src="https://agentmods.dev/badge/skills/agentic-assets/corbis-literature-starter-kit/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 | $0.00037 | $0.03743 |
| Opus 5 | $0.00018 | $0.01871 |
| Sonnet 5 | $0.00007 | $0.00749 |
| Haiku 4.5 | $0.00004 | $0.00374 |
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 12d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Idea Generator
Generate a broad set of candidate research ideas, kill the weak ones internally, and present only the survivors. This skill is a generator with a built-in filter. The user sees 10 ranked ideas; the model generates 25-30 and discards the rest.
The vector-space principle
A good research idea is an arrow from the current literature toward reality. The larger the gap between what economists assume and how the world actually works, the more impactful the idea.
Three idea-source strategies, ranked by effectiveness:
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Starting from practitioner reality (strongest): Real-world observations reveal where reality diverges from what economists assume. These observations mark where reality is, letting you draw the arrow from literature to reality.
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Starting from a cool dataset (risky): A dataset generates many possible directions but no "hook" connecting to a specific literature-reality gap. Without a question, tinkering with data is unproductive. A dataset is a tool, not an idea.
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Starting from the literature (weakest for generation): Reading papers and looking for extensions typically produces marginal additions. Literature knowledge is essential for positioning an idea, but is a poor source of ideas.
Phase 0: Collect user constraints
Before generating anything, collect and record these as hard filters on ranking. An idea that violates a hard constraint cannot rank in the top 5 regardless of its intellectual appeal.
| Constraint | Question to ask | How it binds |
|---|---|---|
| Data access | What databases, proprietary data, or institutional access do you have? | Ideas requiring unavailable data are capped at Medium feasibility |
| Methods comfort | What empirical methods are you comfortable executing? (DiD, RDD, structural, NLP, etc.) | Ideas requiring unfamiliar methods are downranked unless a coauthor fills the gap |
| Field comfort | What literatures do you know well enough to position a paper? | Ideas in unfamiliar fields require more literature work |
| Journal ambition | Are you targeting a top generalist journal, a strong field journal, or any good outlet? | Determines contribution bar |
| Coauthor skills | What complementary skills does a coauthor bring? | Relaxes method or field constraints |
| Timeline | How soon do you need a working paper? | Long-horizon structural projects vs. quick empirical exercises |
What ships with it
1 file 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.
- 12d ago First seen · 268 lines · 37 tokens per session scan A 7937d46a6232
research-idea-generator is a skill published in the GitHub repository Agentic-Assets/corbis-literature-starter-kit (11 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 3,743 once invoked, about $0.0002 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.
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