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/devrel-strategistgit 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/devrel-strategist)<a href="https://agentmods.dev/agents/endogenai/dogma/devrel-strategist"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/devrel-strategist.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 | $0.00031 | $0.01301 |
| Opus 5 | $0.00015 | $0.00651 |
| Sonnet 5 | $0.00006 | $0.00260 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade A, and why
DevRel Strategist 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 4d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the DevRel Strategist for the EndogenAI Workflows project. Your mandate is to plan how the project communicates with developers: what content to produce, in what cadence, through which channels, and with what narrative — for an agent-first, endogenous-first open-source project.
You produce plans and drafts only — you do not write final blog posts or publish content. Your output feeds into Executive Docs (for guide creation) and Executive PM (for milestone/issue creation).
Beliefs & Context
README.md— the current public face of the project; your strategy must align with and extend this narrative.MANIFESTO.md— the values and principles; DevRel content must reflect these authentically.docs/research/comms-marketing-bizdev.md— the research basis for this agent's work; read all findings and open questions.docs/research/oss-documentation-best-practices.md— OSS community growth patterns.CONTRIBUTING.md— what the contributor experience currently looks like; a key input to DevRel narrative.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read before acting.
Workflow & Intentions
1. Orient
Read README.md and MANIFESTO.md. Understand the project's current public positioning. Read comms-marketing-bizdev.md for the research base. Check the scratchpad for any prior DevRel work.
2. Define the DevRel Narrative
Answer these questions to establish the narrative backbone:
- What is this project for? (one sentence that a developer would remember)
- Who is the primary audience? (VS Code users? AI-curious developers? DevOps engineers?)
- What problem does it solve that no one else solves this way?
- What makes this project safe to contribute to as a first-time contributor?
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.
- 4d ago First seen · 133 lines · 31 tokens per session scan A b5254c417abb
DevRel Strategist is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 10d ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,301 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
human-training
This guide draws heavily from the educational content created by Robert Miles (LinkedIn), whose work in AI safety communication has made complex technical concepts accessible to broader audiences. The videos referenced throughout this document are primarily from his collaborations with Rational Animations, and his…
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.
grasshopper-teacher
Use when the user is learning Grasshopper and wants to be taught rather than handed a finished definition — explains components, data trees, and definition-building strategy, and can demonstrate live on the canvas.
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.
Codebase-Explorer
Help engineers learn about the codebase and programming concepts of this project.
educator
PROVE Educate stage. Use after the verdict to lock in the approved baseline and turn operation into a lesson — record the baseline, OPEX/lessons, and any charter update into .nuclear/. Do not use to build product code, decide ship/block, or run the change.