Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/auctalis/nocturnusai/agents-mdgit clone --depth 1 https://github.com/Auctalis/nocturnusaiWrote 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/auctalis/nocturnusai/agents-md)<a href="https://agentmods.dev/instructions/auctalis/nocturnusai/agents-md"><img src="https://agentmods.dev/badge/instructions/auctalis/nocturnusai/agents-md.svg" alt="Measured on agentmods" 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 | $0.04306 | $0.04306 |
| Opus 5 | $0.02153 | $0.02153 |
| Sonnet 5 | $0.00861 | $0.00861 |
| Haiku 4.5 | $0.00431 | $0.00431 |
Grade A, and why
nocturnusai 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 6d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago First seen · 237 lines · 4,306 tokens per session scan A c0ccc9bac6bf
nocturnusai AGENTS.md is an instructions file published in the GitHub repository Auctalis/nocturnusai (3 stars, last pushed 22d ago), with no licence file. It adds 4,306 tokens to every session, about $0.0215 per session on Opus 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
hindsight CLAUDE.md
Claude Code instructions for vectorize-io/hindsight, covering claude.md, project overview, development commands, local development (api + ui) and start both api server and control plane ui.
hindsight AGENTS.md
AGENTS.md instructions for vectorize-io/hindsight: See CLAUDE.md for project documentation and coding conventions.
remind AGENTS.md
Instructions for sandst1/remind, covering remind - development guide for ai agents, project overview, architecture, key abstractions and data models (models.py).
promptPrimer AGENTS.md
Instructions for SeidSmatti/promptPrimer, covering promptprimer — agentic task prompt generator, role, supported harnesses, supported task types and workflow.
remind CLAUDE.md
Instructions for sandst1/remind, a project described as: A memory layer for AI Agents.
cybermem GEMINI.md
Gemini CLI instructions for mikhailkogan17/cybermem, covering cybermem - gemini.md, 1. cybermem project overview, landing and documentation, 1.2 agile roles & responsibilities and 1.3 sprint lifecycle (tokens optimization).