Borrowing it
Nothing to install: this file belongs to andrew-yangy/gru-ai. 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/andrew-yangy/gru-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/andrew-yangy/gru-aiWrote 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/andrew-yangy/gru-ai/claude-md)<a href="https://agentmods.dev/instructions/andrew-yangy/gru-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/andrew-yangy/gru-ai/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/andrew-yangy/gru-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/andrew-yangy/gru-ai/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 | $0.01254 | $0.01254 |
| Opus 5 | $0.00627 | $0.00627 |
| Sonnet 5 | $0.00251 | $0.00251 |
| Haiku 4.5 | $0.00125 | $0.00125 |
Grade A, and why
gru-ai 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 10d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gruai — Claude Code Rules
What This Is
An autonomous AI company framework. See .context/vision.md for the full vision.
Context Tree Structure
.context/
|-- vision.md # System vision (read first)
|
|-- directives/ # ALL work lives here: Directive > Project > Task
| |-- {id}/
| | |-- directive.json # Pipeline state, weight, references
| | |-- directive.md # CEO brief
| | |-- brainstorm.md # OPTIONAL: pre-planning (strategic/heavyweight)
| | |-- audit.md # OPTIONAL: technical audit
| | +-- projects/
| | |-- {project-id}/
| | | +-- project.json # Tasks[], DOD, agents -- THE source of truth
| | +-- ...
| +-- ...
|
|-- intel/ # Scout outputs
| |-- latest/ # Overwritten each /scout run
| +-- archive/{YYYY-MM-DD}/ # Previous runs
|
|-- reports/ # CEO dashboard reports
| |-- daily-{date}.md
| |-- weekly-{date}.md
| +-- walkthrough-{date}.md
|
|-- design/ # System design rationale (WHY the system works this way)
| |-- context-flow.md # How context reaches agents, progressive disclosure
| |-- pipeline-architecture.md # Why these steps, this order, weight adaptation
| |-- agent-model.md # Sub-agent scoping, isolation, constraints
| |-- verification.md # Reviews, DOD, trust boundaries
| +-- state-and-recovery.md # Persistence, checkpoints, crash recovery
|
|-- lessons/ # Flat, topic-based knowledge (reactive — what went wrong)
| |-- orchestration.md
| |-- agent-behavior.md
| |-- review-quality.md
| |-- skill-design.md
| +-- state-management.md
How to Read the Context Tree
- "What should we do now?" -> Read
directives/*/directive.jsonfor active directives, checkdirectives/*/projects/*/project.jsonfor active projects - Planning a feature: -> Read
vision.md+ relevant directive context +design/+lessons/+ relevant project context.md files - Building a feature: -> Read project.json for tasks (at
directives/{id}/projects/{project}/project.json), relevantdesign/+lessons/files - After completing work: -> Update project.json tasks, create report.md in project dir, update
design/if new patterns established, updatelessons/if new patterns discovered
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.
- 10d ago First seen · 105 lines · 1,254 tokens per session scan A 09d3e4ceb9a6
gru-ai CLAUDE.md is an instructions file published in the GitHub repository andrew-yangy/gru-ai (153 stars, last pushed 6mo ago), licensed MIT. It adds 1,254 tokens to every session, about $0.0063 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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