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 timurgaleev/memex --skill cold-startgit clone --depth 1 https://github.com/timurgaleev/memexWrote 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/timurgaleev/memex/cold-start)<a href="https://agentmods.dev/skills/timurgaleev/memex/cold-start"><img src="https://agentmods.dev/badge/skills/timurgaleev/memex/cold-start/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/timurgaleev/memex/cold-start"><img src="https://agentmods.dev/badge/skills/timurgaleev/memex/cold-start.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 | $0.00097 | $0.04458 |
| Opus 5.5 | $0.00039 | $0.01783 |
| Sonnet 5.5 | $0.00019 | $0.00892 |
| Haiku 4.5 | $0.00010 | $0.00446 |
Grade A, and why
cold-start 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 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.
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 — 482 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 the agent host's managed connectors. The agent never holds raw OAuth tokens or API keys. This is a safety requirement, not a preference. Host-managed connectors (e.g. the agent harness's Gmail / Calendar / Contacts MCP integrations) keep credentials in the harness, scope what each tool can do, and put destructive operations behind explicit approval. If no managed connector is available, 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 a brain page at
tasks/cold-start-stateso interrupted sessions can resume. - Entity detection and cross-linking run on every import, not as a separate pass.
Prerequisites
- memex installed and reachable (
memex doctorall green, orrun_doctorover MCP) - Agent has MCP access to the brain, and shell access for
memexCLI commands
The Priority Stack
Data sources ranked by information density × ease of import:
| Priority | Source | Why | Time | Pages Created |
|---|---|---|---|---|
| 1 | Existing markdown/notes vault | 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 (AI chat 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 (recorder exports) | 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.
- 1mo ago Changed 8eb67be777e5
- 1mo ago First seen · 482 lines · 97 tokens per session scan A c4775d340880
cold-start is a skill published in the GitHub repository timurgaleev/memex (11 stars, last pushed 21d ago), licensed MIT. It adds 97 tokens to every session and 4,458 once invoked, about $0.0004 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 2026-08-31.
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