AgentScope Java is a framework for building distributed software agents that use language models to perform tasks over extended sessions. It is intended for enterprise applications needing agent coordination, controlled tool use, isolated workspaces, event streaming, and distributed session management. The catalogue entries provide skills and instructions for working with this framework.
Borrowing it
Nothing to install: this file belongs to agentscope-ai/agentscope-java. 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/agentscope-ai/agentscope-java/main/AGENTS.mdgit clone --depth 1 https://github.com/agentscope-ai/agentscope-javaWrote 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/agentscope-ai/agentscope-java/agents-md)<a href="https://agentmods.dev/instructions/agentscope-ai/agentscope-java/agents-md"><img src="https://agentmods.dev/badge/instructions/agentscope-ai/agentscope-java/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/agentscope-ai/agentscope-java/agents-md"><img src="https://agentmods.dev/badge/instructions/agentscope-ai/agentscope-java/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 | $0.01225 | $0.01225 |
| Opus 5.5 | $0.00490 | $0.00490 |
| Sonnet 5.5 | $0.00245 | $0.00245 |
| Haiku 4.5 | $0.00122 | $0.00122 |
Grade A, and why
agentscope-java 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 8d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
AI coding instructions for AgentScope Java.
1. Collaboration principles
Think before writing
- State assumptions; ask when unsure — do not guess.
- List competing interpretations; let the user choose.
- Suggest simpler solutions; challenge needless complexity.
- Stop when blocked; name the exact blocker.
Simplicity first
- Write the minimum code that solves the task; avoid unrequested features, abstractions, dependencies, and configuration.
- Add error handling only for failures supported by the contract or a realistic execution path.
- Keep the diff small; trim it when it grows unnecessarily large.
Surgical edits
- Touch only task-related lines; do not clean up nearby code or normalize its style.
- Do not refactor working code just because it differs from yours.
- Mention unrelated dead code; do not delete it proactively.
- Remove unused imports, variables, and functions introduced by your change.
Verifiable outcomes
- Turn the task into checkable acceptance criteria.
- Pair each non-trivial step with a verification command.
- Report checks, results, and remaining gaps; skipped tests are gaps.
2. Project map
Modules
agentscope-core/— core agent APIs, ReAct loop, messages, events, tools, middleware, state.agentscope-harness/— workspace, memory, subagents, channels,HarnessAgent.agentscope-extensions/— model, storage, protocol, channel, sandbox, framework integrations.agentscope-service/— Java services;service-controlplane/is Go,frontend/is React.agentscope-examples/— runnable examples.agentscope-dependencies-bom/— third-party versions.agentscope-distribution/— published BOM and aggregate distribution.docs/— Mintlify documentation.
Read when relevant
- Contribution rules: CONTRIBUTING.md.
- Harness behavior: docs/v2/en/docs/harness/architecture.md.
- Channel vocabulary: CONTEXT.md.
- Service work: agentscope-service/README.md.
- Documentation work: docs/README.md.
- POMs, manifests, and workflows are the source of truth for commands and versions.
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.
- 8d ago Changed · +4 tokens per session 6d8267e7a34d
- 20d ago Changed c1aec6723a7e
- 1mo ago First seen · 121 lines · 1,221 tokens per session scan A 65afd6c7f7a3
agentscope-java AGENTS.md is an instructions file published in the GitHub repository agentscope-ai/agentscope-java (6,162 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,225 tokens to every session, about $0.0049 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 2026-09-29.
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.