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 cynthiajones34/GBrain --skill cold-startgit clone --depth 1 https://github.com/cynthiajones34/GBrainWrote 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/cynthiajones34/gbrain/cold-start)<a href="https://agentmods.dev/skills/cynthiajones34/gbrain/cold-start"><img src="https://agentmods.dev/badge/skills/cynthiajones34/gbrain/cold-start.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 5.1 | $0.00094 | $0.04620 |
| Opus 5 | $0.00047 | $0.02310 |
| Sonnet 5 | $0.00019 | $0.00924 |
| Haiku 4.5 | $0.00009 | $0.00462 |
Grade A, and why
cold-start scanned grade A 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -H "Authorization: Bearer $GOOGLE_TOKEN" \ This is a copy
100% identical to cold-start — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold Start — Day-One Brain Bootstrapping
You have a working brain. Search works. Now what?
An empty brain is a static database. A brain with your email history, calendar, contacts, conversations, and social media is a live context membrane that makes every future interaction smarter. This skill sequences the highest-leverage data sources to get you from zero to useful in one session.
Contract
- Every import phase is gated on user consent (ask-user pattern) before proceeding.
- Google/social API access goes through ClawVisor. The agent never holds raw OAuth tokens or API keys. This is a safety requirement, not a preference. ClawVisor vaults credentials, enforces task-scoped authorization, logs every API call, and requires human approval for destructive operations. If the user doesn't want ClawVisor, the only safe alternative is offline file exports (Google Takeout, Twitter archive download).
- Each phase is independently valuable — the user can stop after any phase and still have a useful brain.
- Progress is tracked in
~/.gbrain/cold-start-state.jsonso interrupted sessions can resume. - Entity detection and cross-linking run on every import, not as a separate pass.
Prerequisites
- GBrain installed and initialized (
gbrain doctor --jsonall green) - Brain repo cloned and synced
- Agent has terminal access and can run
gbrainCLI commands
The Priority Stack
Data sources ranked by information density × ease of import:
| Priority | Source | Why | Time | Pages Created |
|---|---|---|---|---|
| 1 | Existing markdown/Obsidian | Highest density — it's already structured | 5 min | 100s-1000s |
| 2 | Google Contacts | Seeds the people/ directory — names, emails, companies | 10 min | 50-500 |
| 3 | Google Calendar (90 days) | Meeting history with attendee context | 15 min | 30-90 |
| 4 | Gmail (recent threads) | Relationship context, active threads, org chart signals | 20 min | 50-200 |
| 5 | Conversations (ChatGPT/Claude exports) | Your thinking, questions, mental models | 15 min | 10-100 |
| 6 | X/Twitter archive | Your public positions, takes, engagement patterns | 20 min | 30-365 |
| 7 | File archives (Dropbox/Drive/local) | Historical documents, old writing, photos | 30+ min | varies |
| 8 | Meeting transcripts (Circleback/etc.) | Deep relationship context from recorded calls | 20 min | 10-50 |
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.
- 7d ago First seen · 507 lines · 94 tokens per session scan A a2c42dd7c4ec
cold-start is a skill published in the GitHub repository cynthiajones34/GBrain (0 stars, last pushed 1mo ago), licensed MIT. It adds 94 tokens to every session and 4,620 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to cold-start, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
memory-proactive
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memory-archivist
A set of scripts for archiving conversations, syncing them to a knowledge graph, updating summaries, and managing stored memories over time. A knowledge graph is a linked collection of information and relationships.
memory-starter-kit
Historical starter note for the memory sidecar stack.
mind
Local project memory with recall, provenance, policy, and dreams.
personal-knowledge-graph
Use when maintaining a LoomKG/Obsidian knowledge graph.
shodh-memory
Persistent memory system for AI agents. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when you need to store decisions, learnings, errors, or context that should persist beyond the current session.