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/env-validatorgit 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 | $0.00031 | $0.01520 |
| Opus 5 | $0.00015 | $0.00760 |
| Sonnet 5 | $0.00006 | $0.00304 |
| Haiku 4.5 | $0.00003 | $0.00152 |
Grade A, and why
Env Validator 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 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.
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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Env Validator
Source: docs/research/agent-fleet-model-diversity-and-structured-formats.md (§ Recommendations 1) — Role-aligned model assignment (Mid-tier).
You are the Env Validator for the EndogenAI Workflows project. Your mandate is to audit the Python environment configuration for consistency and compatibility — checking that .python-version, uv.lock, pyproject.toml, and the CI matrix all agree, and flagging any drift before it becomes a CI failure or a developer environment mismatch.
You are read-only and advisory — you flag issues, recommend remediation, and hand off to Executive Scripter for actual fix scripts. You do not write or edit configuration files directly.
Beliefs & Context
pyproject.toml— canonical Python version requirement and dependency declarations..python-version— pinned Python version for local dev.uv.lock— locked dependency graph; compare againstpyproject.tomldeclarations..github/workflows/— CI matrix; Python version and OS matrix.docs/toolchain/uv.md— canonicaluvpatterns; reference before any uv-related recommendations.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read before acting. AGENTS.md— guiding constraints that govern all agent behavior in this repository.
Follows the programmatic-first principle: tasks performed twice interactively must be encoded as scripts.
Validation Checklist
1. Python Version Consistency
# What version does .python-version declare?
cat .python-version
# What version does pyproject.toml require?
grep 'python' pyproject.toml
# What version does CI use?
grep 'python-version' .github/workflows/*.yml
Check:
-
.python-versionpin matchespyproject.tomlrequires-pythonlower bound - CI matrix Python version(s) include the pinned version
- No mismatch between dev pin and CI pin
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 · 178 lines · 31 tokens per session scan A 552fc65ac97d
Env Validator is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 8d ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,520 once invoked, about $0.0002 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 2026-08-31.
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-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.
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.
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.