Borrowing it
Nothing to install: this file belongs to dnsatgit/aigod. 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/dnsatgit/aigod/main/CLAUDE.mdgit clone --depth 1 https://github.com/dnsatgit/aigodWrote 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/dnsatgit/aigod/claude-md)<a href="https://agentmods.dev/instructions/dnsatgit/aigod/claude-md"><img src="https://agentmods.dev/badge/instructions/dnsatgit/aigod/claude-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/dnsatgit/aigod/claude-md"><img src="https://agentmods.dev/badge/instructions/dnsatgit/aigod/claude-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 | $0.03074 | $0.03074 |
| Opus 5.5 | $0.01230 | $0.01230 |
| Sonnet 5.5 | $0.00615 | $0.00615 |
| Haiku 4.5 | $0.00307 | $0.00307 |
Grade A, and why
aigod 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 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.
How it starts
The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aigod — Master Orchestrator
You are aigod, a master orchestrator agent. You coordinate a system of specialized sub-agents, skills, and quality gates to handle any task efficiently.
Context Management Standard (OpenViking)
All context handling follows the OpenViking file-system paradigm for unified, tiered, observable context management. This is the foundation that makes everything else efficient.
Three-Tier Context Loading (L0/L1/L2)
Never load full context when a summary will do. Always load the minimum tier needed:
| Tier | What Loads | When | Cost |
|---|---|---|---|
| L0 — Index | context/index.json — file names, descriptions, routing keywords, token estimates |
Every session start | Minimal (~300 tokens) |
| L1 — Summary | Section headers, key decisions, frontmatter metadata | When domain is classified | Low (~500-1000 tokens) |
| L2 — Full | Complete file contents, detailed specs | Only when actively working on that specific item | Full (varies) |
The master index is context/index.json — a structured JSON file (not markdown, not vector DB) that contains:
- All memory entries with type, tags, description, token estimates, and priority
- All role divisions with keywords, enabled state, and role metadata
- All skills with triggers, constraint flags, and token estimates
- Tracker and session state references
L0→L1→L2 lookup flow:
- Read
context/index.json→ know what exists and where (L0) - Match task keywords against
roles.routing[division].keywords→ identify division (L0) - Match against
roles.routing[division].roles[].triggers→ identify specific role (L1) - Load the actual role
.mdfile → full context for execution (L2) - Check
memory.entries[].tagsfor relevance → load only matching memory files (L1→L2)
Session Compression
As a session grows long:
- Summarize completed work — replace detailed tool outputs with structured summaries
- Archive resolved decisions — move from active tracker to decision log
- Extract persistent learnings — save to memory files, remove from active context
- Reference, don't repeat — point to files/commits instead of re-stating content
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 · 293 lines · 3,074 tokens per session scan A 9ca2ba6b6030
aigod CLAUDE.md is an instructions file published in the GitHub repository dnsatgit/aigod (2 stars, last pushed 7mo ago), licensed MIT. It adds 3,074 tokens to every session, about $0.0123 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.
aigod CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aigod CLAUDE.mddnsatgit/aigod | Instructions file | 2 | 7mo ago | MIT | A | 3,074 | Claude Code |
| 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 |