LLM Evaluation System is an agent-guided platform for evaluating language models and agents, generating datasets and configuring multiple judges from natural-language requests before producing an analysis report. It is for comparing model responses, testing agents, and creating document-grounded evaluation data.
Borrowing it
Nothing to install: this file belongs to awslabs/llm-evaluation-system. 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/awslabs/llm-evaluation-system/main/AGENTS.mdgit clone --depth 1 https://github.com/awslabs/llm-evaluation-systemWrote 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/awslabs/llm-evaluation-system/agents-md)<a href="https://agentmods.dev/instructions/awslabs/llm-evaluation-system/agents-md"><img src="https://agentmods.dev/badge/instructions/awslabs/llm-evaluation-system/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/awslabs/llm-evaluation-system/agents-md"><img src="https://agentmods.dev/badge/instructions/awslabs/llm-evaluation-system/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 | $0.00102 | $0.00102 |
| Opus 5.5 | $0.00041 | $0.00041 |
| Sonnet 5.5 | $0.00020 | $0.00020 |
| Haiku 4.5 | $0.00010 | $0.00010 |
Grade A, and why
llm-evaluation-system 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 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.
What it actually says
AGENTS.md
Agent-facing conventions for this repo live in CLAUDE.md — read it first regardless of which agent or tool you are. This file is a pointer kept here so tools that follow the agents.md convention (Codex, Cursor, others) land in the same place Claude Code does.
For the full system architecture and diagrams, see ARCHITECTURE.md.
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 · 6 lines · 102 tokens per session scan A 7721cfc25542
llm-evaluation-system AGENTS.md is an instructions file published in the GitHub repository awslabs/llm-evaluation-system (26 stars, last pushed yesterday), licensed Apache-2.0. It adds 102 tokens to every session, about $0.0004 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.
llm-evaluation-system AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| llm-evaluation-system AGENTS.mdawslabs/llm-evaluation-system | Instructions file | 26 | yesterday | Apache-2.0 | A | 102 | 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 | yesterday | 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 |