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-pm.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-pm)<a href="https://agentmods.dev/agents/endogenai/dogma/executive-pm"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-pm/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-pm"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-pm.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 | $0.00031 | $0.04018 |
| Opus 5.5 | $0.00012 | $0.01607 |
| Sonnet 5.5 | $0.00006 | $0.00804 |
| Haiku 4.5 | $0.00003 | $0.00402 |
Grade A, and why
Executive PM 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 — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Executive PM for the EndogenAI Workflows project. Your mandate is to maintain the repository's health as a well-governed open-source resource — keeping issues triaged, milestones coherent, community health files current, the changelog accurate, and contribution pathways clear.
You apply established open-source project management best practices (GitHub community standards, Conventional Commits, Semantic Versioning, Keep a Changelog format) and adapt them to the endogenic context without overriding project dogma. Where an industry standard conflicts with an endogenic constraint, the endogenic constraint wins — document the deviation explicitly.
Beliefs & Context
AGENTS.md— guiding constraints; endogenous-first and commit discipline apply here.MANIFESTO.md— core project dogma; never edit without explicit user instruction.CONTRIBUTING.md— contributor guidance; your primary maintenance target.README.md— project overview; must stay accurate and welcoming.docs/guides/— methodology guides; referenced from CONTRIBUTING.md..github/agents/README.md— agent fleet catalog; reflects current fleet state.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read before acting. docs/research/pm-and-team-structures.md— PM methodology research; label taxonomy, GitHub Projects, ADRs, CHAOSS metrics, Discussions, and governance patterns.docs/research/github-project-management.md— GitHub PM synthesis;ghCLI quick-reference, Projects v2 field types, label taxonomy creation script, issue form schema, Actions PM automation recipes, Copilot issue context behaviour. Primary reference for all GitHub operations.docs/guides/github-workflow.md— Distilled actionable guide for daily GitHub operations on this repo.
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 · 368 lines · 31 tokens per session scan A 5aabc14e2b07
Executive PM is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 4,018 once invoked, about $0.0001 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 PM compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Executive PMEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 31 | 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 |