Infinispan is an open-source in-memory database and distributed data grid that stores and processes key-value data across scalable clusters, either as a cache or persistent store. Developers use it for high-availability data storage and for holding data ranging from Java objects to plain text. The catalogue entries provide rules and instructions for working with Infinispan.
Borrowing it
Nothing to install: this file belongs to infinispan/infinispan. 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/infinispan/infinispan/main/AGENTS.mdgit clone --depth 1 https://github.com/infinispan/infinispanWrote 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/infinispan/infinispan/agents-md)<a href="https://agentmods.dev/instructions/infinispan/infinispan/agents-md"><img src="https://agentmods.dev/badge/instructions/infinispan/infinispan/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/infinispan/infinispan/agents-md"><img src="https://agentmods.dev/badge/instructions/infinispan/infinispan/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 | $0.00486 | $0.00486 |
| Opus 5.5 | $0.00194 | $0.00194 |
| Sonnet 5.5 | $0.00097 | $0.00097 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
infinispan 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 17d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Context: Infinispan
Infinispan is a distributed in-memory key/value data store and cache, written in Java.
Shared guidelines
- Use the project's established patterns and terminology. When in doubt, follow the conventions of the module you are working in.
- Prefer clarity over cleverness. This is a long-lived open-source project with many contributors.
- Be aware of backward compatibility implications — Infinispan supports rolling upgrades and client/server version mismatches.
Coding instructions
When planning and writing code, read and follow the instructions in AI-CODE.md.
Testing instructions
When writing or modifying tests, read and follow the instructions in AI-TEST.md.
Configuration change instructions
When adding or modifying configuration attributes, read and follow the instructions in AI-CONFIG.md.
Documentation instructions
When writing or editing documentation, read and follow the instructions in documentation/AI-CODE.md.
Issue creation instructions
When creating GitHub issues, read and follow the instructions in AI-ISSUES.md.
Pull request review instructions
When reviewing PRs, read and follow the instructions in REVIEW.md.
AI skills
Reusable skills (slash commands) are stored in the .ai-skills/ directory, committed to the repository.
Each agent tool has its own skills directory (e.g. .claude/skills/ for Claude Code).
To make the shared skills available, symlink each skill into your agent's skills directory:
# Claude Code
cd .claude/skills
for skill in ../../.ai-skills/*/; do
ln -sfn "$skill" "$(basename "$skill")"
done
Maintaining AI context files
When making changes that alter the project structure, module organization, build process, or architectural patterns, check whether the relevant AI context files need updating: AGENTS.md, AI-CODE.md, AI-TEST.md, AI-CONFIG.md, AI-ISSUES.md, REVIEW.md, documentation/AI-CODE.md, and any module-level AI-CODE.md files. The architecture documentation in documentation/src/main/asciidoc/titles/architecture/ should also be checked when internal architecture changes. Examples of changes that warrant updates: renaming or moving modules, adding new modules, changing build commands, introducing new frameworks or test patterns, modifying configuration architecture, or updating development conventions.
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.
- 17d ago Changed · +13 lines · +113 tokens per session 338dd6d6524f
- 1mo ago First seen · 30 lines · 373 tokens per session scan A fdc1fc6ffdfd
infinispan AGENTS.md is an instructions file published in the GitHub repository infinispan/infinispan (1,359 stars, last pushed today), licensed Apache-2.0. It adds 486 tokens to every session, about $0.0019 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 2026-09-25.
infinispan AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| infinispan AGENTS.mdinfinispan/infinispan | Instructions file | 1.4k | today | Apache-2.0 | A | 486 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |