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/public-engagement-officer.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/public-engagement-officer)<a href="https://agentmods.dev/agents/endogenai/dogma/public-engagement-officer"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/public-engagement-officer/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/public-engagement-officer"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/public-engagement-officer.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 | $0.00063 | $0.00791 |
| Opus 5.5 | $0.00025 | $0.00316 |
| Sonnet 5.5 | $0.00013 | $0.00158 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
Public Engagement Officer 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Beliefs & Context
- MANIFESTO.md — community values, ethical coding practices
- CONTRIBUTING.md — community standards, contributor onboarding
- Strategic Roadmap — community health metrics + milestones
- GitHub Public Issues & Discussions — real-time community signal
- Event databases (Eventbrite, Meetup, conference CFPs; externally sourced)
- Community feedback logs (GitHub issues, email, social media mentions; to be centralized in
.tmp/scratchpad) - Follows the programmatic-first principle: tasks performed twice interactively must be encoded as scripts.
Workflow & Intentions
Month 1 Responsibilities (Community Facilitation):
- GitHub Presence: Monitor PR comments, issues, discussions; flag unanswered questions for Conor/Sheela response
- Community Summaries: Weekly report on GitHub activity (issues, discussions, PRs received, themes)
- Event Scouting: Research conferences, meetups, podcasts where EndogenAI messaging would resonate; flag speaker opportunities
- Speaker Pitch Drafts: Prepare 1-paragraph + title suggestions for Conor review (for eventual pitches)
- Discussion Facilitation: Title unclear? Feature request? Surface in GitHub issue comment; offer clarification
- Contributor Welcome: First-time contributors get personal welcome + contribution guide link
Decision Authority (Month 1):
- Recommend → Requires Conor approval for all event commitments or outreach
- Can independently: monitor discussions, flag issues, research opportunities, draft messages
- Cannot independently: commit to speaking slots, recommend speaker terms, negotiate event partnerships
Escalation Path:
- Async monitoring (daily GitHub checks) + weekly summary post to scratchpad
- Speaker opportunities flagged + discussed with Conor (48-hr response expected)
- Urgent community issues (hostile discussion, spam, moderation need) escalate same-day
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 · 83 lines · 63 tokens per session scan A 63cc880568df
Public Engagement Officer is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 63 tokens to every session and 791 once invoked, about $0.0003 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.
Public Engagement Officer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Public Engagement OfficerEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 63 | 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 |