Borrowing it
Nothing to install: this file belongs to superhero-tech/super-brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/superhero-tech/super-brain/main/.agents/skills/second-brain-setup/SKILL.mdgit clone --depth 1 https://github.com/superhero-tech/super-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/superhero-tech/super-brain/second-brain-setup)<a href="https://agentmods.dev/skills/superhero-tech/super-brain/second-brain-setup"><img src="https://agentmods.dev/badge/skills/superhero-tech/super-brain/second-brain-setup/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/superhero-tech/super-brain/second-brain-setup"><img src="https://agentmods.dev/badge/skills/superhero-tech/super-brain/second-brain-setup.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 | $0.00041 | $0.01020 |
| Opus 5.5 | $0.00016 | $0.00408 |
| Sonnet 5.5 | $0.00008 | $0.00204 |
| Haiku 4.5 | $0.00004 | $0.00102 |
Grade A, and why
second-brain-setup 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 2mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Second Brain Setup
Purpose
Runs a conversation with the product builder and writes the result to 8-System/about.md. That file tells the agent who the human is, how they want to be treated and where they need to be pushed. It works as a pair with 8-System/brain.md, which holds the universal operating rules.
When to use
- Setting up a new vault for the first time
- Refreshing the profile after a role change, a new project or a shift in priorities
- When the AI feels "out of calibration"
How it works
Step 0: Pick a path
Ask:
There are two ways for me to get to know you:
A) I have assessment results - paste your CliftonStrengths (Gallup), DISC, MBTI, 16Personalities, Enneagram, Working Genius or any other personality/competency assessment. I will pull out the parts that change how we work together.
B) Let's talk - I will run a short interview (5-7 minutes).
You can do both: start with the assessment, then fill the gaps by talking.
Path A: Assessment-first
- Read the pasted results
- Extract ONLY operational information - the parts that change how the AI works:
- Strengths -> how the AI should frame recommendations
- Weaknesses and blind spots -> where the AI should actively push
- Communication style -> how the AI should speak
- Decision style -> how the AI should present options
- Do NOT copy the full report into
about.md. The extract is 5-8 bullets in the "How to work with me" section - Ask short follow-up questions about what the assessment does not cover:
- Current role and context (Q1 from
references/questions.md- short version, 2-3 sentences is enough) - Six-month goal (Q4 from
references/questions.md)
- Current role and context (Q1 from
- Go to Step 3 (proposal)
Path B: Interview
- Ask the questions in
references/questions.mdin order: Q1 (Context), Q2 (Communication style), Q3 (Development areas), Q4 (Goals) - Rules:
- Q1: all six sub-questions in one block, one answer
- Q2.1-Q2.5: five multiple-choice questions, one at a time
- Q3: multi-select, 2-3 from a list of 8
- Q4: one open question
- Go to Step 3 (proposal)
What ships with it
5 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.
- 2mo ago First seen · 114 lines · 41 tokens per session scan A 516689fdd693
second-brain-setup is a skill published in the GitHub repository superhero-tech/super-brain (827 stars, last pushed 11d ago), licensed MIT. It adds 41 tokens to every session and 1,020 once invoked, about $0.0002 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.
second-brain-setup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| second-brain-setupsuperhero-tech/super-brain | Skill | 827 | 11d ago | MIT | A | 41 | Claude Code, Codex |
| Migratedanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 104 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| Profiledanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 108 | Claude Code, Codex |
| wiki-dashboardAr9av/obsidian-wiki | Skill | 3.7k | yesterday | MIT | A | 42 | Claude Code |
| relevance-coarse-filterelvisun/newsjack | Skill | 1.7k | yesterday | MIT | A | 57 | Claude Code |
| session-compactcodeaholicguy/ai-devkit | Skill | 1.7k | 2d ago | Apache-2.0 | A | 39 | Claude Code |