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.
git clone --depth 1 https://github.com/monoes/monomindWrote 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/commands/monoes/monomind/agents)<a href="https://agentmods.dev/commands/monoes/monomind/agents"><img src="https://agentmods.dev/badge/commands/monoes/monomind/agents/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/commands/monoes/monomind/agents"><img src="https://agentmods.dev/badge/commands/monoes/monomind/agents.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 | $0.00027 | $0.00367 |
| Opus 5.5 | $0.00011 | $0.00147 |
| Sonnet 5.5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
monitoring:agents 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 yesterday.
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
status agents
Show detailed agent status — ID, type, current task, uptime, and success rate for all running agents.
Usage
npx monomind status agents [options]
Options
| Flag | Type | Description |
|---|---|---|
--format |
string | Output format: json |
Examples
# Show all agents
npx monomind status agents
# JSON output
npx monomind status agents --format json
Output Columns
| Column | Description |
|---|---|
| ID | Agent identifier |
| Type | Agent type (coder, reviewer, tester, etc.) |
| Status | healthy / degraded / stopped |
| Current Task | Task the agent is executing (or -) |
| Uptime | How long the agent has been running |
| Success | Task success rate (%) |
Related Commands
# Quick agent count overview (in main status)
npx monomind status
# Agent performance metrics by type
npx monomind agent metrics
# Agent health check
npx monomind agent health
# List all agents
npx monomind agent list
MCP Tool
mcp__monomind__agent_list({
includeMetrics: true,
status: "all"
})
See Also
status— full system status including agentsagent metrics— performance metrics over timeagent health— per-agent health checks
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.
- yesterday First seen · 73 lines · 27 tokens per session scan A 8b6dc0e964f1
monitoring:agents is a command published in the GitHub repository monoes/monomind (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 27 tokens to every session and 367 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 2026-10-26.
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