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/endogenai/dogma/agents-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/agents-md)<a href="https://agentmods.dev/instructions/endogenai/dogma/agents-md"><img src="https://agentmods.dev/badge/instructions/endogenai/dogma/agents-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 | $0.25498 | $0.25498 |
| Opus 5 | $0.12749 | $0.12749 |
| Sonnet 5 | $0.05100 | $0.05100 |
| Haiku 4.5 | $0.02550 | $0.02550 |
Grade A, and why
dogma AGENTS.md scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Ollama | `curl -sf http://localhost:11434/` | `Ollama is running` | How it starts
The opening of the file, as written. The whole thing — 1,409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents working in this repository.
Guiding Constraints
These constraints govern all agent behavior. They derive from three core axioms in MANIFESTO.md:
- Endogenous-First — scaffold from existing system knowledge and external best practices
- Algorithms Before Tokens — prefer deterministic, encoded solutions over interactive token burn
- Local Compute-First — minimize token usage; run locally whenever possible (LCF as structural enabler — see
MANIFESTO.md §3)
Encoding Inheritance Chain: Values flow through MANIFESTO.md (foundational axioms) → AGENTS.md (operational constraints) → role files (.agent.md; VS Code: Custom Agents) → SKILL.md files (reusable tactical knowledge) → session prompts (enacted behavior). Each layer is a re-encoding of the layer above it. Agents must minimise lossy re-encoding: prefer direct quotation or explicit citation over paraphrase when invoking a foundational principle. Cross-reference density (back-references to MANIFESTO.md in your output) is a proxy for encoding fidelity. Low density signals likely drift. See docs/research/values-encoding.md for the cross-sectoral evidence base. AGENTS.md is the central authority for all operational constraints; subdirectory redirection notices point back here for global governance.
Session-Start Encoding Checkpoint: At the start of every session, the first sentence of ## Session Start in the scratchpad must name the governing axiom and one primary endogenous source. See docs/guides/session-management.md → Session-Start Encoding Checkpoint for format and examples. The agent fleet is the pressurizing medium — it gives each substrate coherent form but does not own the membrane or the bucket. Agents are tools that shape how values flow through the system, but they neither create nor control the values themselves.
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.
- yesterday First seen · 1,409 lines · 25,498 tokens per session scan A 395ceef40b47
dogma AGENTS.md is an instructions file published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 11d ago), licensed Apache-2.0. It adds 25,498 tokens to every session, about $0.1275 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other instructions, from other repositories
CORE CLAUDE.md
Claude Code instructions for DariuszNewecki/CORE, covering claude.md — core, what core is, and what you are, source layout, how to work in this repo and governed and prohibited surfaces.
agentic-os CLAUDE.md
Claude Code instructions for KbWen/agentic-os, covering claude integration entry, startup (every conversation), slash commands, skills and validate.
agentic-os governance-review.instructions.md
Instructions for KbWen/agentic-os: Apply these when reviewing Agentic OS governance, workflow, adapter, and documentation changes.
orloj CLAUDE.md
Claude Code instructions for OrlojHQ/orloj, covering orloj claude instructions, critical repository rules and implementation notes.
baseline CLAUDE.md
Claude Code instructions for friedbotstudio/baseline, covering claude code baseline — in-session constitution, article i — authority and precedence, article ii — architectural principle, article iii — session-start procedure (mandatory) and article iv — workflow ordering (mandatory).
sint-protocol CLAUDE.md
Instructions for sint-ai/sint-protocol, covering sint protocol — agent guide, what is this?, quick commands, monorepo layout and architecture rules.