A work-analysis command that identifies recurring patterns across projects and sessions, such as stalled work, repeated blockers, or reopened decisions.

Use it for current, weekly, deep, project-specific, or theme-specific pattern reports.

It makes repeated problems and scattered effort easier to notice than reviewing work one item at a time.

patterns — Command for Claude Code by brainOS-HQ/brain-os

Install

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.

Clone the repo

git clone --depth 1 https://github.com/brainOS-HQ/brain-os

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/brainos-hq/brain-os/patterns/github.svg)](https://agentmods.dev/commands/brainos-hq/brain-os/patterns)

Your own site

<a href="https://agentmods.dev/commands/brainos-hq/brain-os/patterns"><img src="https://agentmods.dev/badge/commands/brainos-hq/brain-os/patterns/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/brainos-hq/brain-os/patterns"><img src="https://agentmods.dev/badge/commands/brainos-hq/brain-os/patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 803 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00000	$0.00803
Opus 5.5	$0.00000	$0.00321
Sonnet 5.5	$0.00000	$0.00161
Haiku 4.5	$0.00000	$0.00080

Measured 1mo ago against content hash 9a2ac24131e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

patterns scanned grade B with 1 finding 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 1mo 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- Do not moralize. State the pattern, the risk, and the action. No lectures.

templates/commands/patterns.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brain OS : Pattern Engine

"What patterns are showing up across my work?"

Not analytics. Recognition.

REQUIRED FIRST READ

Before any tool call, read ~/.claude/brain-os/PROTOCOL.md. Tool routing is non-negotiable.

Input

Arguments: $ARGUMENTS (optional : entity/project name, "weekly" for recent patterns, "deep" for full analysis, or a specific theme). If a project name is given, focus on that project's patterns first.

Primary tool sequence

mcp__brain-os__pattern_detect() : current pattern report
If empty: mcp__brain-os__semantic_recall("recent patterns", source_kind="pattern")
Supporting evidence: mcp__brain-os__entity_read() for relevant entities

What to look for

1. Momentum patterns

Which entities are moving? Which are stalled?
Is momentum concentrated or scattered?
Anything losing momentum that was recently high?

2. Blocker recurrence

Same blocker across multiple entities
Same blocker in the same entity across sessions
Blockers noted but never resolved

3. Decision repetition

Strategic questions that keep being reopened
Decisions marked active but not acted on
Similar decisions made independently across entities

4. Theme emergence

Concepts appearing across multiple entities
What kind of work the user keeps gravitating toward
Shared architectural needs

5. Execution vs discussion gap

Entities with lots of decisions but little evidence of progress
High-status descriptions that don't match actual output
next_move fields unchanged across updates

6. Avoidance signals

"Active" entities not updated in 3+ weeks
Entities where next_move keeps changing without anything shipping
Open questions piling up without answers

7. Convergence opportunities

Entities that could share architecture, components, or patterns
Work in one entity that directly benefits another

Output

========================================
  PATTERN REPORT
========================================

## Pattern 1: [name]

  Evidence:
  - [specific data point from entity_read or pattern_detect]
  - [specific data point]

  Interpretation:
  [one paragraph max]

  Risk:
  [what happens if this pattern continues]

  Recommendation:
  [one concrete action]

  Entities affected:
  [list]

----------------------------------------

## Pattern 2: [name]
  ...

========================================
  EXISTING PATTERNS : STATUS CHECK
========================================
  [for each pattern already logged]
  [still active? resolved? false positive?]
========================================

Read the full file on GitHub · 112 lines

Changes

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.

1mo ago First seen · 112 lines · 0 tokens per session scan B 9a2ac24131e8

Subscribe to this mod's changes

patterns is a command published in the GitHub repository brainOS-HQ/brain-os (6 stars, last pushed 13d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 803 tokens. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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