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 skills add coreyhaines31/makerskills --skill company-braingit clone --depth 1 https://github.com/coreyhaines31/makerskillsWrote 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/coreyhaines31/makerskills/company-brain)<a href="https://agentmods.dev/skills/coreyhaines31/makerskills/company-brain"><img src="https://agentmods.dev/badge/skills/coreyhaines31/makerskills/company-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/skills/coreyhaines31/makerskills/company-brain"><img src="https://agentmods.dev/badge/skills/coreyhaines31/makerskills/company-brain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00230 | $0.04815 |
| Opus 5.5 | $0.00092 | $0.01926 |
| Sonnet 5.5 | $0.00046 | $0.00963 |
| Haiku 4.5 | $0.00023 | $0.00481 |
Grade A, and why
company-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 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/company-brain — Team-shared AI-ready knowledge base
Company Brain (n.): Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf.
Team-scope sibling to second-brain (personal-scope). Same core compile → wiki → outputs pattern; different raw schema optimized for multi-author, sales-heavy, ops-heavy team use.
Also the operational backbone for the Company Brain Setup productized service (was previously called "Second Brain as a Service"; renamed to match the skill).
Mental model
Three layers, same as second-brain — but the raw/ layer is structured, not flat:
raw/ → wiki/ → outputs/
(structured (compiled (generated
by category) interlinked) artifacts)
Structured raw/ dirs (each is its own top-level folder in the vault):
| Dir | What lives here |
|---|---|
people/ |
Contacts with context — CRM-lite. One markdown file per person. |
companies/ |
Org profiles — last touchpoint, opportunity size, status. One file per company. |
meetings/ |
Call/meeting transcripts + notes. Naming: YYYY-MM-DD-<company-or-topic>-<slug>.md. Auto-sync source. |
sops/ |
Standard operating procedures. Named: <team>-<process>.md (e.g., sales-outbound-cadence.md). |
decisions/ |
Decision records (narrative form; decide skill's structured form is different). |
customer-language/ |
Verbatim phrases from prospects/customers/users. Fuels copy, headlines, objections. |
recurring-questions/ |
Questions asked 3+ times across calls. Each becomes a pre-answered SOP/FAQ/script. |
sales-objections/ |
Library of objections + best responses. Assembled into sales scripts. |
raw/ |
Legacy / uncategorized captures (fallback bucket, minimize use). |
wiki/, outputs/, and INDEX.md work the same as second-brain.
Reserved dirs (never modified by company-brain): Projects/, Team/, Templates/, Drafts/.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +8 tokens per session 953457f9dcce
- 17d ago Changed · +2 lines · -100 tokens per session 27bddd9eb7a8
- 1mo ago First seen · 265 lines · 322 tokens per session scan A 4a9bd259e9ad
company-brain is a skill published in the GitHub repository coreyhaines31/makerskills (874 stars, last pushed 3d ago), licensed MIT. It adds 230 tokens to every session and 4,815 once invoked, about $0.0009 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 2026-08-30.
Other skills, from other repositories
claude-reflect
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.
identity-snapshot
Generate a living profile of the user's working patterns, decision tendencies and quality preferences from their Dex data. Use when the user says 'what are my patterns', 'how do I work', or during week-review. Also use proactively when the model (older than 7 days) is stale. Not for planning a week; use week-plan.
handoff
Create a structured session handoff when context is running low or work is pausing. Deep context mining, self-validation, multi-file splitting. Captures everything the next session needs.
mm-setup
A setup guide that personalizes a shared mm system for one user. It asks for details such as your name, work area, tools, language, and Obsidian vault location, then saves them in private configuration files.
chief-of-staff
The CEO's right hand — maintains validated project context, prepares task contracts, logs cross-department decisions, and runs the weekly review. Use when the user says "what's in flight", "resume the project", "log this decision", "weekly review", "turn this idea into a brief", or when multi-department work needs…
screenpipe-api
Query the user's local and synced-device data via the screenpipe REST API at localhost:3030 — recordings, audio, UI, meetings, connected services, and memory. Use for screen activity, other-device or cross-device history, productivity, media export, connections, durable memory, or discovering and automating saved…