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 skills/sandermoon/local-brain/brain-focusnpx skills add SanderMoon/local-brain --skill brain-focusgit clone --depth 1 https://github.com/SanderMoon/local-brainWrote 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/skills/sandermoon/local-brain/brain-focus)<a href="https://agentmods.dev/skills/sandermoon/local-brain/brain-focus"><img src="https://agentmods.dev/badge/skills/sandermoon/local-brain/brain-focus.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 | $0.00052 | $0.01086 |
| Opus 5 | $0.00026 | $0.00543 |
| Sonnet 5 | $0.00010 | $0.00217 |
| Haiku 4.5 | $0.00005 | $0.00109 |
Grade A, and why
brain-focus 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.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
brain-focus: Deep Work Session
Set up and maintain a focused work context for a single project. The agent becomes a project-scoped collaborator — loading full context, suggesting next actions, and deflecting distractions to the inbox.
Trigger Phrases
- "Let's work on [project]", "Focus on [project]"
- "I'm going to work on [project] now"
- "Deep work time", "Focus mode"
- "What should I do next on [project]?"
Workflow
Step 1 — Set the Focus
Determine which project to focus on:
- If the user names a project: use it directly
- If ambiguous: call
get_brain_overviewand ask which project
Call set_context to set the focused project.
Step 2 — Load Project Context
Call get_project_context with include_note_content: "preview" to get:
- All open and in-progress tasks
- Recent notes
- Linked repositories
Present a concise project dashboard:
[Project Name] [Description]
In progress: [list] Up next: [highest priority open tasks] Blocked: [any blocked items] Backlog: [count] (not shown in detail — these are unplanned) Recent notes: [titles]
Step 3 — Suggest Next Action
Based on the project state, recommend what to work on:
- In-progress tasks first — continue what was already started
- Highest priority unblocked tasks — if nothing is in-progress
- Blocked items — if something could be unblocked quickly, suggest that
"You were working on [task]. Want to continue, or pick something else?"
Mark the chosen task as in-progress with update_todo.
Step 4 — During the Session
While the user is working in focus mode:
Capture stray thoughts to inbox: When the user mentions something unrelated to the current project:
"Got it — I'll save that to your inbox so you can deal with it later."
Call add_to_dump for the stray thought. Return focus to the project immediately. Do not switch context.
Track progress: When the user completes something:
- Update the task status to
doneviaupdate_todo - Suggest the next task from the project
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 · 126 lines · 52 tokens per session scan A 06e85eadebd3
brain-focus is a skill published in the GitHub repository SanderMoon/local-brain (9 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 1,086 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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