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/performance-report)<a href="https://agentmods.dev/commands/monoes/monomind/performance-report"><img src="https://agentmods.dev/badge/commands/monoes/monomind/performance-report/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/performance-report"><img src="https://agentmods.dev/badge/commands/monoes/monomind/performance-report.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 | $0.00016 | $0.00352 |
| Opus 5.5 | $0.00006 | $0.00141 |
| Sonnet 5.5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
analysis:performance-report 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
performance-report
Generate performance metrics reports for swarm operations and system components.
Usage
npx monomind performance metrics [options]
Options
--timeframe, -t <range>- Time range:1h,24h(default),7d,30d--format, -f <type>- Output format:text(default),json,prometheus--component, -c <name>- Filter to a specific component
Examples
# Default 24h report
npx monomind performance metrics
# Last 7 days in JSON
npx monomind performance metrics --timeframe 7d --format json
# Prometheus-compatible output
npx monomind performance metrics --format prometheus
# Filter to memory component
npx monomind performance metrics --component memory
Integration with Claude Code
mcp__monomind__performance_report({
timeRange: "24h", // "1h" | "24h" | "7d"
format: "summary", // "json" | "summary" | "detailed"
components: ["memory", "neural", "swarm"] // optional filter
})
See Also
performance benchmark— run benchmark suitesperformance bottleneck— detect bottlenecksperformance optimize— apply optimizationstoken-usage— token consumption by period
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 · 54 lines · 16 tokens per session scan A ec4a63fb2070
analysis:performance-report is a command published in the GitHub repository monoes/monomind (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 352 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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