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/atpaawej/openboard/hermesgit clone --depth 1 https://github.com/atpaawej/openboardWrote 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/atpaawej/openboard/hermes)<a href="https://agentmods.dev/agents/atpaawej/openboard/hermes"><img src="https://agentmods.dev/badge/agents/atpaawej/openboard/hermes.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 | $0.00000 | $0.00490 |
| Opus 5 | $0.00000 | $0.00245 |
| Sonnet 5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
hermes 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 5d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes Agent Integration Guide
Hermes Agent connects to MCP servers configured under the mcp_servers section of its configuration file.
1. Installation
Install OpenBoard globally via npm:
npm install -g openboard
2. OpenBoard Startup
Start the local OpenBoard web dashboard and server:
openboard start
For AI agent operations via MCP, Hermes Agent invokes openboard mcp directly over stdio.
3. MCP Configuration
Configuration File (~/.hermes/config.yaml)
Add OpenBoard to your Hermes configuration file:
mcp_servers:
openboard:
command: 'openboard'
args:
- 'mcp'
4. Verification
Verify that Hermes detects the OpenBoard tools:
hermes mcp status
You should see openboard listed with 13 registered tools.
5. Example Workflows & Prompts
Multi-Step Infrastructure Planning Workflow
User:
List my whiteboards on OpenBoard.
Hermes:
[Calls list_boards]
Found 1 board: "Q2 Retrospective".
User:
Create a new board for "Q3 Infrastructure Plan".
Hermes:
[Calls create_board with { name: "Q3 Infrastructure Plan" }]
Created board "Q3 Infrastructure Plan" (ID: "board_infra_q3").
User:
Add four component boxes (API Gateway, Auth Service, Billing Worker, Postgres) with notes.
Hermes:
[Calls create_shapes on "board_infra_q3" with 4 geo rectangles and 4 yellow notes]
Created 4 components with attached architecture notes.
User:
Inspect the board layout with get_canvas_state and get_canvas_screenshot.
Hermes:
[Calls get_canvas_state and get_canvas_screenshot]
Verified all 8 shapes and visual layout.
6. Troubleshooting
- Executable path: Ensure
openboardis in PATH or provide absolute path incommand. - Database path: OpenBoard stores data in
~/.openboard/openboard.db. Useargs: ["mcp", "--db", "/custom/path.db"]for custom locations. - Logs & diagnostics: All debug logs are output to stderr, ensuring clean stdio communication.
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.
- 5d ago First seen · 98 lines · 0 tokens per session scan A 3be0c56446dd
hermes is an agent published in the GitHub repository atpaawej/openboard (3 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 490 tokens. 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
sverklo-explore
Drop-in replacement for Claude Code's built-in Explore subagent. Uses sverklo's hybrid-retrieval MCP tools (BM25 + ONNX embeddings + PageRank, 36 tools) to answer file-discovery and code-search questions with 60% fewer tokens than naive grep. Use this when you need to locate definitions, trace references, understand…
brain-os-mode
Use for any Brain OS task delegated to a subagent — reading entity state, checking active decisions, running focus/patterns/retro analysis, or proposing changes that need to honor active decisions. Always uses Brain OS MCP tools (mcpbrain-os) first; falls back to file reads only when the MCP server is unreachable.…
engineer
Use this agent when you need to implement features, fix bugs, or write code anywhere in the Code Insights monorepo. This includes CLI commands, dashboard components (Vite + React SPA), Hono server routes, SQLite schema changes, provider implementations, LLM provider integration, UI work with shadcn/ui, and any…
technical-architect
Use this agent for architectural decisions, type alignment, SQLite schema changes, code review synthesis, and when the implementation path requires architectural guidance. This agent serves as the technical authority across the Code Insights monorepo. Examples: Context: A change to types needs to be reflected in the…
product-manager
Use this agent for product development coordination, tracking tasks (GitHub Issues or local markdown), sprint planning, progress reporting, and development ceremony management. This PM does NOT use Jira.
devtools-cofounder
Use this agent for strategic product decisions, competitive positioning, developer experience critique, go-to-market strategy, and feature viability assessment. Peer to technical-architect — brings market lens where TA brings system lens. Does NOT write code or create PRs. Advisory only — delegates implementation to…