Borrowing it
Nothing to install: this file belongs to AURORA-NEURO/aurora-agent. 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/AURORA-NEURO/aurora-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/AURORA-NEURO/aurora-agentWrote 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/aurora-neuro/aurora-agent/agents-md)<a href="https://agentmods.dev/instructions/aurora-neuro/aurora-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/aurora-neuro/aurora-agent/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/aurora-neuro/aurora-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/aurora-neuro/aurora-agent/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 | $0.02081 | $0.02081 |
| Opus 5.5 | $0.00832 | $0.00832 |
| Sonnet 5.5 | $0.00416 | $0.00416 |
| Haiku 4.5 | $0.00208 | $0.00208 |
Grade A, and why
aurora-agent 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 1mo 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AURORA Agent
AURORA Agent is a context harness for biological research agents. Its one idea is that context assembly is a compiler pass, not a retrieval heuristic: a typed decision query compiles into the smallest decision-sufficient evidence region, delivered as a Decision Section and accompanied by a Context Certificate stating exactly what was omitted and whether the omission could have changed the decision.
Everything else in the workspace is downstream of that. Storage exists to make compilation output-sensitive. Evaluation exists to test whether the compiled context was any good. Mutation exists to generate more decisions to test against. The MCP server exists so the compiled context reaches something that can act on it.
The engine crate is bioprism-fiber; the workspace is prefixed bioprism- throughout, from the
BioPRISM blueprint it implements.
What we can never compromise on
1. Honest labelling is the product
Every other system can tell you what it included. This one tells you what it left out, and whether that could have mattered. If we lose that, we are a slower retrieval library.
Concretely, and these are non-negotiable:
- Zero influence is not unknown influence. "Provably cannot matter" and "nobody checked" are different states and must never share a representation. A single unknown-influence group voids a sufficiency claim.
- Unmeasured is not zero. A capability with no evidence is
Unmeasured, categorically distinct from measured-and-poor. There is noscore_or_zero. - A right answer from an incomplete basis is not a pass. Protected closure is mandatory before any relevance step, so a strategy cannot be credited for guessing correctly from evidence it never had.
- Instance count is not benchmark count. Report independent equivalence classes. A million paraphrases are a robustness check, not a million benchmarks.
2. Invariants belong in the type system, not in comments
Where a rule can be made unrepresentable, make it unrepresentable. Existing examples to match:
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.
- 1mo ago First seen · 162 lines · 2,081 tokens per session scan A 6e2e80268288
aurora-agent AGENTS.md is an instructions file published in the GitHub repository AURORA-NEURO/aurora-agent (1 stars, last pushed 21d ago), licensed Apache-2.0. It adds 2,081 tokens to every session, about $0.0083 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 2026-08-31.
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.
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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).
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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.