nebula CLAUDE.md

nebula CLAUDE.md is an instructions file for coding agents from AgentSystemLabs/nebula. It costs 385 tokens per session, scanned A, original, MIT.

Project instructions for AgentSystemLabs/nebula, including a self-improvement workflow built from skills, memory recall, project terminology, and response checks.

In plain words
What is it for?
Use them when working in that repository to follow its task workflow, retrieve relevant memory, learn project terms, and check the final response.
Why use it?
They define which project-specific processes should run around coding tasks and help preserve context and consistent responses.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/agentsystemlabs/nebula/claude-md
Clone the repo
git clone --depth 1 https://github.com/AgentSystemLabs/nebula

Wrote 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.

agentmods badge for nebula CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/agentsystemlabs/nebula/claude-md.svg)](https://agentmods.dev/instructions/agentsystemlabs/nebula/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/agentsystemlabs/nebula/claude-md"><img src="https://agentmods.dev/badge/instructions/agentsystemlabs/nebula/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 385 This file is loaded in full into every session.
When invoked 385 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00385 $0.00385
Opus 5 $0.00192 $0.00192
Sonnet 5 $0.00077 $0.00077
Haiku 4.5 $0.00038 $0.00038

Measured 4d ago against content hash 9e050293ce15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

nebula CLAUDE.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 4d 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.

CLAUDE.md · 24 lines

What it actually says

@AGENTS.md

Claude Code

The SELF-IMPROVING LOOP above is the protocol. In Claude Code the four steps are skills — invoke them with the Skill tool instead of reading their SKILL.md, and each one's body carries its own rules:

When Invoke Skip when
every new prompt that is a task, before planning or grepping Skill(skill: "prompt-daddy") the skill's own skip list: a reply to a question you asked, a bare confirmation, a specific mid-task correction, a slash-command or skill trigger, a pure question that changes nothing
the task changed code or behavior, diagnosed a bug, or surfaced something non-obvious Skill(skill: "nebula-memory") pure questions, and trivial edits that held no surprise
every task, right after nebula-memory Skill(skill: "project-terms") never
before writing the reply that answers or closes the request Skill(skill: "output-doctor") never — a pure question takes its short form, not no form

Two hooks run on their own:

  • RECALL HOOK (.claude/hooks/recall.py, UserPromptSubmit) scores the prompt against the MEMORY LOG and injects the matching entries and standing gotchas as [nebula recall] …. Read it as you would the files themselves; it is what actually reaches you, so an entry it did not surface may still exist — grep when the subject is one the log is likely to have.
  • GUARD HOOK (.claude/hooks/guard.py, PreToolUse on Bash) blocks commands past gotchas turned into rules. If it blocks you, do what it says.
Changes

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.

  1. 4d ago First seen · 24 lines · 385 tokens per session scan A 9e050293ce15

Subscribe to this mod's changes

nebula CLAUDE.md is an instructions file published in the GitHub repository AgentSystemLabs/nebula (100 stars, last pushed 3d ago), licensed MIT. It adds 385 tokens to every session, about $0.0019 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 2026-08-30.

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