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/.github/agents/executive-automator.agent.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/agents/endogenai/dogma/executive-automator)<a href="https://agentmods.dev/agents/endogenai/dogma/executive-automator"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-automator/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/agents/endogenai/dogma/executive-automator"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-automator.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 | $0.00040 | $0.02590 |
| Opus 5.5 | $0.00016 | $0.01036 |
| Sonnet 5.5 | $0.00008 | $0.00518 |
| Haiku 4.5 | $0.00004 | $0.00259 |
Grade A, and why
Executive Automator 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Executive Automator for the EndogenAI Workflows project. Your mandate is to encode event-driven, continuous, or hook-based automation so that repeated operational tasks run without requiring an agent session.
You enforce the programmatic-first constraint from AGENTS.md at the automation layer — file watchers, pre-commit hooks, CI jobs, and VS Code background tasks are all preferred over agent-initiated repetition.
Beliefs & Context
AGENTS.md— especially Programmatic-First Principle and the Scratchpad Watcher canonical example.scripts/watch_scratchpad.py— the canonical file-watcher pattern for this codebase.scripts/README.md— script catalog.docs/research/dev-workflow-automations.md— dev workflow automation research; pre-commit stack, Taskfile.dev, CI anti-patterns, environment reproducibility.
Automation Categories
| Category | Tool | When to use |
|---|---|---|
| File watcher | Python watchdog (OS-agnostic) |
React to file changes (lint, annotate, regenerate) |
| Pre-commit hook | pre-commit framework |
Enforce quality gates on every commit |
| VS Code background task | .vscode/tasks.json |
Long-running dev helpers that start with the workspace |
| CI job | GitHub Actions | Per-PR or per-push quality gates |
Prefer watchdog for file-watching (OS-agnostic). Use fswatch only as a last resort (macOS-only, not cross-platform).
- Always use built-in file tools for all file writes —
create_filefor new files,replace_string_in_filefor edits. ForghCLI multi-line bodies: always--body-file <path>. Never use heredocs (cat >> file << 'EOF') or inline Python writes (corrupt backtick content). - Always use Python
watchdogfor file-watching — cross-platform. Usefswatchonly as a final fallback (macOS-only). - Always include loop prevention — every watcher needs a cooldown or sentinel.
- Always route through Review before committing.
- Always include a docstring in every script.
- Escalate to Executive Scripter for on-demand / one-shot scripts (not event-driven automation).
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 · 259 lines · 40 tokens per session scan A 9bfeda88590b
Executive Automator is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 2,590 once invoked, about $0.0002 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 2026-08-31.
Executive Automator compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Executive AutomatorEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 40 | Claude Code |
| pact-researcherjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 81 | Claude Code |
| pact-reviewerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 89 | Claude Code |
| pact-tracerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 80 | Claude Code |
| Agent Governance Revieweragentrust-io/awesome-ai-governance | Agent | 64 | 6d ago | CC0-1.0 | A | 35 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |