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/sbroenne/mcp-server-excel/domaingit clone --depth 1 https://github.com/sbroenne/mcp-server-excelWrote 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/sbroenne/mcp-server-excel/domain)<a href="https://agentmods.dev/agents/sbroenne/mcp-server-excel/domain"><img src="https://agentmods.dev/badge/agents/sbroenne/mcp-server-excel/domain.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 | $0.00103 |
| Opus 5 | $0.00000 | $0.00051 |
| Sonnet 5 | $0.00000 | $0.00021 |
| Haiku 4.5 | $0.00000 | $0.00010 |
Grade A, and why
domain 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 3d 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.
What it actually says
Domain docs
This repository uses one project-wide context.
Before exploring code, read CONTEXT.md at the repository root and relevant decisions under docs/adr/ when those files exist. If they do not exist, continue without warning.
Use terms defined in CONTEXT.md. If a proposal conflicts with a recorded decision, state that conflict rather than silently overriding it.
Expected layout:
/
|-- CONTEXT.md
|-- docs/adr/
`-- src/
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.
- 3d ago First seen · 17 lines · 0 tokens per session scan A cdd3998e17fd
domain is an agent published in the GitHub repository sbroenne/mcp-server-excel (645 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 103 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 2026-08-30.
Other agents, from other repositories
pb-sync-reviewer
Reviews changes under lib/sync/, import/export, and MCP task write paths against the documented PocketBase v0.23+ gotchas plus prior Codex adversarial data-loss findings. Read-only. Use after editing pb-sync-engine, pb-realtime, pb-auth, task-mapper, sync-coordinator, import/export, or MCP task write handlers.
triage-labels
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.
triage-labels
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.