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/tonydzi/second-brain-starter-kit/intronpx skills add tonydzi/second-brain-starter-kit --skill introgit clone --depth 1 https://github.com/tonydzi/second-brain-starter-kitWrote 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/tonydzi/second-brain-starter-kit/intro)<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/intro"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/intro.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 | $0.00083 | $0.01188 |
| Opus 5 | $0.00042 | $0.00594 |
| Sonnet 5 | $0.00017 | $0.00238 |
| Haiku 4.5 | $0.00008 | $0.00119 |
Grade A, and why
intro 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 4d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/intro: warm-introduction automation
The operator's matchmaking is a conveyor: a warm intro is the product they trade. This skill turns "introduce X to Y" into one repeatable operation, run from their Telegram account.
Proven live 2026-06-19 (test pair Rita @teammate_r + Nataly @teammate_n). Standing rules live in memory [[intro-automation]] and [[no-long-dashes]].
Flow
1. RESOLVE both people
For each name, identify the real person before doing anything:
/findornamesearchover names.db, the Platinum CRMleads/contacts, and Telegramresolve_username/search_contacts.- Disambiguate name collisions (the operator has many same-name contacts: 8 Denises, several Karim) using
get_common_chats, company, recent calls. - Capture for each: real name, @handle, tg_id, company, and the Latin first name for the title.
2. CONFIRM (DEFAULT: ON, approval required)
Show the operator a compact BEFORE→AFTER block:
- who each person resolved to (name, @handle, company),
- the exact group title that will be created,
- which account will send. Wait for their "+". Do NOT create anything before that. Skip this gate ONLY if the operator explicitly says "no approval needed" in the request.
3. CREATE the group
create_groupfrom the chosen account, title =LatinName1 <> LatinName2 <> Palo Alto Research Lab.- The
<>sign goes between ALL elements. Names are LATIN only, taken from the lead's own name. Pass the title with plain<>AT creation. Never HTML-escape it. Never rely on renaming afterward (see gotchas). - Account label "default" = @work_acct_a (id 226258979); "corp_acct" is the company voice. Pick the account with the warmest existing thread to each lead.
4. INTRO blurb in the group
- Right after creating the group, get its invite link via
export_chat_invite. - Short, warm, in the operator's voice. State who each person is and why they are a fit, INCLUDE the group link ("Group: "), close with "over to you two".
- LANGUAGE: write to each lead in THEIR language. A Russian-speaking lead gets Russian, an English-speaking lead gets English. Detect language from the CRM card (country / language field), the vault person note, or the prior DM-thread language. If the two leads share no common language, write the group blurb bilingually (RU plus EN).
- No long dashes anywhere (use a colon, comma, or parentheses). See [[no-long-dashes]].
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.
- 4d ago First seen · 76 lines · 83 tokens per session scan A 1afb9f38dbf3
intro is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (5 stars, last pushed 5d ago), licensed MIT. It adds 83 tokens to every session and 1,188 once invoked, about $0.0004 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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