Borrowing it
Nothing to install: this file belongs to bybren-llc/rendertrust. 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/bybren-llc/rendertrust/dev/CLAUDE.mdgit clone --depth 1 https://github.com/bybren-llc/rendertrustWrote 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/bybren-llc/rendertrust/claude-md)<a href="https://agentmods.dev/instructions/bybren-llc/rendertrust/claude-md"><img src="https://agentmods.dev/badge/instructions/bybren-llc/rendertrust/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/bybren-llc/rendertrust/claude-md"><img src="https://agentmods.dev/badge/instructions/bybren-llc/rendertrust/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 | $0.01785 | $0.01785 |
| Opus 5.5 | $0.00714 | $0.00714 |
| Sonnet 5.5 | $0.00357 | $0.00357 |
| Haiku 4.5 | $0.00178 | $0.00178 |
Grade A, and why
rendertrust 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 1mo 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
AI Assistant Context for SAFe Multi-Agent Development
Repository: rendertrust Methodology: SAFe (Scaled Agile Framework) Agentic Workflow Philosophy: "Round Table" - Equal voice, mutual respect, shared responsibility
Quick Start
This is a SAFe multi-agent development project with 11 specialized AI agents working collaboratively. You are part of a team where your input has equal weight with human contributors.
Core Principles:
- Search for existing patterns before creating new ones ("Search First, Reuse Always")
- Attach evidence to Linear tickets for all work
- You have "stop-the-line" authority for architectural/security concerns
- Follow SAFe methodology: Epic → Feature → Story → Enabler
Key Resources:
- AGENTS.md - All 11 agent roles, invocation patterns, capabilities
- CONTRIBUTING.md - Git workflow, commit standards, PR process
- docs/onboarding/ - Setup guides and daily workflows
- docs/guides/ROUND-TABLE-PHILOSOPHY.md - Collaboration principles
- patterns_library/ - Reusable code patterns (18+ patterns, 7 categories)
Development Commands
# Development server
docker compose up # Start development server
# Build and production
docker compose build # Build for production
docker compose up -d # Start production server
# Code quality
ruff check . # Run linting
ruff check . --fix # Auto-fix linting issues
mypy . # Type checking (Python)
# Testing
pytest # Run unit tests
pytest tests/integration # Run integration tests
pytest tests/e2e # Run end-to-end tests
# Database (if applicable)
alembic upgrade head # Run migrations
# CI/CD validation (REQUIRED before PR)
make ci # Run all quality checks
Important: Always run make ci before creating a pull request.
Architecture Overview
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.
- 1mo ago First seen · 227 lines · 1,785 tokens per session scan A 5e48408a0280
rendertrust CLAUDE.md is an instructions file published in the GitHub repository bybren-llc/rendertrust (7 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 1,785 tokens to every session, about $0.0071 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 2026-09-04.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).