Borrowing it
Nothing to install: this file belongs to Agentic-Assets/corbis-literature-starter-kit. 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/Agentic-Assets/corbis-literature-starter-kit/master/AGENTS.mdgit 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/instructions/agentic-assets/corbis-literature-starter-kit/agents-md)<a href="https://agentmods.dev/instructions/agentic-assets/corbis-literature-starter-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/agentic-assets/corbis-literature-starter-kit/agents-md/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/instructions/agentic-assets/corbis-literature-starter-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/agentic-assets/corbis-literature-starter-kit/agents-md.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 | $0.01755 | $0.01755 |
| Opus 5.5 | $0.00702 | $0.00702 |
| Sonnet 5.5 | $0.00351 | $0.00351 |
| Haiku 4.5 | $0.00176 | $0.00176 |
Grade A, and why
corbis-literature-starter-kit AGENTS.md 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 29d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- corbis-literature-starter-kit CLAUDE.md — 97% identical, 139 lines differ
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
READ ~/AGENTS.md FIRST (skip if missing).
Corbis Literature Starter Kit
A lightweight toolkit for exploring academic literature, brainstorming research ideas, and managing citations. Powered by Corbis MCP. Check the live Corbis site before quoting a corpus size.
Skill routing
Before responding to any research-related prompt, check whether a skill applies.
| User is asking about... | Use skill |
|---|---|
| Survey a topic, write a literature review | literature-review |
| Position a paper, find closest work, contribution | literature-positioning-map |
| Brainstorm research ideas from a topic area | research-idea-generator |
| Screen or score a specific research idea | finance-idea-screening |
| Verify citations in a .bib file | verify-citations |
| Visualize literature trends, gaps, methods | literature-landscape |
Corbis tool usage
Always search before asserting. Do not guess about novelty, literature, or data availability when you can check.
Available tools:
search_papers,get_paper_details,get_paper_details_batch,top_cited_articles-- literature searchexport_citations,format_citation,verify_bibtex-- citation managementsearch_datasets-- data discovery (for idea screening)fred_search,fred_series_batch-- macro data contextget_market_data,compare_markets,search_markets,get_market_trends-- CRE market intelligence
Key principles:
- Use
search_papersbefore claiming any idea is novel - Use
compact: trueonsearch_paperswhen you only need titles and metadata (saves ~80% payload) - Use
sortBy: "citedByCount"to find the most influential papers on a topic - Use
get_paper_details_batch(up to 25 IDs) instead of repeatedget_paper_detailscalls - Use
top_cited_articleswith thequeryparameter to find highly cited papers on a specific topic within journals - Verify discovered paper metadata, then use
export_citationswithcitations: [paper objects]andformats: ["bibtex"]. Export alone does not verify supplied metadata.
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.
- 29d ago Changed · +4 lines · +245 tokens per session 3c4e3157f447
- 1mo ago First seen · 134 lines · 1,510 tokens per session scan A f83844f0e217
corbis-literature-starter-kit AGENTS.md is an instructions file published in the GitHub repository Agentic-Assets/corbis-literature-starter-kit (11 stars, last pushed 29d ago), licensed MIT. It adds 1,755 tokens to every session, about $0.0070 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.