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/emb715/neurodiveragents/claude-mdgit clone --depth 1 https://github.com/emb715/neurodiveragentsWrote 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/emb715/neurodiveragents/claude-md)<a href="https://agentmods.dev/instructions/emb715/neurodiveragents/claude-md"><img src="https://agentmods.dev/badge/instructions/emb715/neurodiveragents/claude-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 | $0.02456 | $0.02456 |
| Opus 5 | $0.01228 | $0.01228 |
| Sonnet 5 | $0.00491 | $0.00491 |
| Haiku 4.5 | $0.00246 | $0.00246 |
Grade A, and why
neurodiveragents 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 5d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
neurodiveragents
This project uses the neurodiveragents fleet. Each agent embodies a distinct cognitive style that makes it exceptionally effective in its domain. When a task matches an agent's domain, read the agent file and apply its patterns directly. Do not use the Task tool unless explicitly asked.
Routing Table
| When the task involves... | Use agent |
|---|---|
| PRD, epic, multi-task workload, fleet orchestration | ndv-flow (Flow) |
| Code review, PR, code smells, quality | ndv-review (Acute) |
| Bug, stack trace, root cause unknown — investigate | ndv-diagnose (Pierce) |
| Root cause confirmed, fix known — implement it | ndv-build (Craft) |
| Rename, extract, restructure, modernize syntax | ndv-refactor (Just) |
| Generate tests, improve coverage | ndv-tester (Edge) |
| Security vulnerabilities, OWASP, auth issues | ndv-secure (Ward) |
| Slow code, N+1 queries, bundle size, latency | ndv-optimize (Lean) |
| Add logging, metrics, traces, health checks | ndv-telemetry (Pulse) |
| System design, SOLID violations, architecture review | ndv-architect (Arc) |
| Technical docs, API docs, session notes | ndv-explain (Patient) |
| Spec with schemas, acceptance criteria, file targets, and architecture already decided — implement it | ndv-build (Craft) |
| Scope creep, "while we're at it", PRD boundary review, overloaded tickets | ndv-scope (Bound) |
| Estimate review, sprint plan calibration, roadmap sanity check | ndv-forecast (Datum) |
| KPI audit, metrics review, coverage targets, DORA metrics, OKRs | ndv-signal (Signal) |
| No specialist match / no clear owner / tradeoffs / direct answer / command execution | ndv-honest (Honest) |
| UI structure, layout decisions, visual hierarchy, design judgment | ndv-design (Pixel) → then ndv-build (Craft) |
| WCAG auditing, ARIA violations, contrast ratios, keyboard nav, screen reader compatibility | ndv-accessibility (Lux) |
| Codebase lookup, cross-file tracing, "where is X", "how does Y work", feature flow summaries | ndv-research (Scout) |
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.
- 5d ago First seen · 182 lines · 2,456 tokens per session scan A 5c62f930dff2
neurodiveragents CLAUDE.md is an instructions file published in the GitHub repository emb715/neurodiveragents (2 stars, last pushed 1mo ago), licensed MIT. It adds 2,456 tokens to every session, about $0.0123 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
awesome-copilot copilot-instructions.md
Copilot instructions for github/awesome-copilot, covering readme updates, prompt file guide, instruction file guide, agent file guide and agent skills guide.
codedb AGENTS.md
AGENTS.md instructions for justrach/codedb, covering codedb agent guidelines, what codedb is (and isn't), review guidelines, pre-merge verification and security-sensitive areas.
Puppetmaster AGENTS.md
AGENTS.md instructions for professorpalmer/Puppetmaster, covering agents.md, first: are you a puppetmaster worker?, default subagent runtime: puppetmaster, when to start a puppetmaster swarm (do this by default) and match the verb to the task shape (single feature ≠ swarm).
agent-toolkit AGENTS.md
AGENTS.md instructions for ulises-jeremias/agent-toolkit, covering agents.md — ai agent contract, what this toolkit does, repository structure, operating rules and how to add a skill.
agent-skills AGENTS.md
Instructions for powabase-ai/agent-skills, covering agents.md, repository structure, prerequisites & commands, writing skill.md files and frontmatter (required).
agent-skills GEMINI.md
Instructions for powabase-ai/agent-skills: This repository ships the powabase agent skill at skills/powabase/SKILL.md — it teaches you to build on Powabase, the AI Backend-as-a-Service (RAG / knowledge bases, agents, multi-agent orchestration, workflows) and its Supabase-style BaaS layer (PostgREST, auth, storage…