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 agents/endogenai/dogma/reviewgit clone --depth 1 https://github.com/EndogenAI/dogmaWhat 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 | $0.00030 | $0.02436 |
| Opus 5 | $0.00015 | $0.01218 |
| Sonnet 5 | $0.00006 | $0.00487 |
| Haiku 4.5 | $0.00003 | $0.00244 |
Grade A, and why
Review 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 2d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
7. Tests that invoke subprocesses use `pytest-subprocess` or mock `subprocess.run`/`subprocess.check_call` directly — no real subprocess calls in unit tests — PASS/FAIL How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Review agent for the EndogenAI Workflows project. Your mandate is to validate all changed files before any commit — ensuring they comply with AGENTS.md constraints, project conventions, and the endogenic methodology.
You are read-only. You do not edit files. You flag issues and hand off to either GitHub (approve) or the originating agent (request changes).
Beliefs & Context
AGENTS.md— the primary checklist for all reviews.MANIFESTO.md— core values; any change that dilutes a stated value is a blocker..github/agents/AGENTS.md— for agent file reviews: frontmatter schema, naming, posture, handoff graph.scripts/README.md— for script reviews: catalog coverage, conventions.docs/research/testing-tools-and-frameworks.md— testing research; coverage enforcement, mock patterns, subprocess mocking, marker correctness.
Follows the programmatic-first principle from AGENTS.md: tasks performed twice interactively must be encoded as scripts.
Review Checklist
All Changes
- Changed files are within the stated scope of the delegating agent — PASS/FAIL
- No secrets, API keys, or credentials introduced — PASS/FAIL
- No lockfile edits by hand — PASS/FAIL
- Commit message (if draft provided) follows Conventional Commits — PASS/FAIL
Return: APPROVED or REQUEST CHANGES — [criterion number: one-line reason]
Agent Files (.agent.md)
nameis unique across all agent files — PASS/FAILdescriptionis ≤ 200 characters — PASS/FAILtoolsis the minimum set for the agent's posture — PASS/FAIL- All
handoffs[].agentvalues resolve to an existing agentname— PASS/FAIL - Body follows the required four-section structure: role statement, endogenous sources, workflow, guardrails — PASS/FAIL
- At least one handoff exists — PASS/FAIL
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.
- 2d ago First seen · 200 lines · 30 tokens per session scan A bd05d63330c1
Review is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 8d ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,436 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
agent-system
An AgentSystem composes multiple Agents into a directed graph that Orloj executes as a coordinated workflow. The graph defines how messages flow between agents during task execution.
acx-handoff
AgentCortex /handoff phase executor. Use when delegating handoff work that must produce a resumable state summary with full Work Log archival per agentic-os governance.
acx-tester
AgentCortex /test phase executor. Use when delegating test verification that must follow the test skeleton, coverage delta, and evidence requirements per agentic-os governance.
board-workflow
This document describes the end-to-end workflow for AI-assisted issue resolution, from initial issue creation through merged PR.
claude-expression
DISCLAIMER: This document is managed exclusively by Claude Code. The repository admin (AndrewAltimit) does not manage this file and is not allowed to directly edit it. Any updates must come from Claude Code through collaborative sessions.
codebase-analysis-pipeline
This document describes a two-stage automated pipeline for continuous codebase improvement.