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/brain)<a href="https://agentmods.dev/commands/monoes/monomind/brain"><img src="https://agentmods.dev/badge/commands/monoes/monomind/brain/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/brain"><img src="https://agentmods.dev/badge/commands/monoes/monomind/brain.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 | $0.00025 | $0.01215 |
| Opus 5.5 | $0.00010 | $0.00486 |
| Sonnet 5.5 | $0.00005 | $0.00243 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
brain 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First — extract repeat flags: Follow the REPEAT PREAMBLE from mastermind-repeat/SKILL.md. Extracts --repeat, --tillend, --maxruns, --wait, --rep, --loop from $ARGUMENTS before all other parsing.
Parse $ARGUMENTS to determine the sub-command and flags.
Sub-Commands
status (default if no sub-command given)
Show the current state of all brain tiers across all domains.
For each domain that has data, call:
mcp__monomind__memory_healthon namespacemastermind:<domain>:raw→ Tier 1 entry count, last write date, archived countmcp__monomind__memory_healthon namespacemastermind:<domain>:weekly→ Tier 2 summary count, last compaction datemcp__monomind__memory_healthon namespacemastermind:principles→ Tier 3 principle count
Display as a table:
MASTERMIND BRAIN STATUS
════════════════════════════════════════════════
Domain │ Tier 1 (raw) │ Tier 2 (weekly) │ Tier 3 (principles)
───────────┼──────────────┼─────────────────┼────────────────────
build │ 14 entries │ 2 summaries │ shared (see below)
marketing │ 8 entries │ 1 summary │
... │ │ │
───────────┼──────────────┼─────────────────┼────────────────────
PRINCIPLES │ │ │ 7 core principles
════════════════════════════════════════════════
Last compaction: 2026-04-28 | Next due: 2026-05-05
Avg memory score: 0.64 | Entries below archive threshold: 3
compact
Force immediate weekly distillation across all domains (or --domain <name> for one domain).
For each domain (or the specified domain):
- Retrieve all Tier 1 raw entries since last compaction via
mcp__monomind__memory_hierarchical-recall(namespacemastermind:<domain>:raw) - Produce per-domain weekly summary: synthesize decisions, patterns, and lessons into ≤300 words
- Store to Tier 2 via
mcp__monomind__memory_hierarchical-store(namespacemastermind:<domain>:weekly) - Archive Tier 1 entries with score < 0.1 (update metadata:
{ archived: true }) - Report: "Compacted : entries → summary, archived"
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 · 102 lines · 25 tokens per session scan A 78330e11724d
brain is a command published in the GitHub repository monoes/monomind (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 1,215 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.
Other commands, from other repositories
claude-flow-memory
Interact with Claude-Flow memory system.
sessions
Manage OpenAI Codex session history, aliases, and session metadata.
checkpoint
Create an identified recovery point and inspect exact restoration differences.
recall
Retrieve scoped lessons and evaluate their assumptions, conflicts, and applicability.
save-session
Save current session state to a dated file in /.codex/session-data/ so work can be resumed in a future session with full context.
checklist
Generate a custom checklist for the current feature based on user requirements.