Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. 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/EndogenAI/dogma/main/CLAUDE.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/endogenai/dogma/claude-md)<a href="https://agentmods.dev/instructions/endogenai/dogma/claude-md"><img src="https://agentmods.dev/badge/instructions/endogenai/dogma/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/endogenai/dogma/claude-md"><img src="https://agentmods.dev/badge/instructions/endogenai/dogma/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 | $0.00673 | $0.00673 |
| Opus 5.5 | $0.00269 | $0.00269 |
| Sonnet 5.5 | $0.00135 | $0.00135 |
| Haiku 4.5 | $0.00067 | $0.00067 |
Grade A, and why
dogma 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — EndogenAI Workflows (dogma)
This file is read by Claude Code at session start. It encodes the project's operational constraints, key endogenous sources, and governance conventions so that Claude Code sessions run with the same fidelity as VS Code Copilot sessions governed by AGENTS.md.
Governing Constraints
All agent behaviour in this project is governed by AGENTS.md.
Claude-specific sessions must adhere to the same operational constraints as VS Code Copilot sessions. Read AGENTS.md before any first action in a session.
Key redirections:
- Session Lifecycle: See AGENTS.md § Agent Communication and session-management SKILL.md.
- Python Toolchain: See AGENTS.md § Python Tooling. Use
uv runfor all commands. - File Writing: See AGENTS.md § File Writing Guardrails. NEVER use heredocs.
- Commit Discipline: See AGENTS.md § Commit Discipline. Follow Conventional Commits.
- Pre-Commit Guardrails: See AGENTS.md § Guardrails.
Claude CLI Patterns (Print Mode)
For single-query tasks that don't require interactive agent sessions, use print mode to reduce the ~50K per-session token overhead:
# Structured output (JSON schema-validated)
claude -p "..." --output-format json --max-turns 1 --max-budget-usd 0.10
# CI/non-interactive context — no session persistence
claude -p "..." --no-session-persistence --output-format json --max-turns 1 --max-budget-usd 0.10
Use print mode for (single-query, no tool use needed):
- Synthesis quality checks and doc lint evaluations
- Structured output generation from known corpus
- Single question-answer lookups
Use full interactive sessions for:
- Multi-step research or implementation (tool use, file reads/writes)
- Tasks requiring multiple rounds of refinement
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 · 55 lines · 673 tokens per session scan A 6d6bf1a6f9cc
dogma CLAUDE.md is an instructions file published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 673 tokens to every session, about $0.0027 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 2026-09-03.
dogma CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dogma CLAUDE.mdEndogenAI/dogma | Instructions file | 2 | 2mo ago | Apache-2.0 | A | 673 | 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 |