02-warm-intro-match

02-warm-intro-match is an agent for Claude Code from assafkip/kipi-system. It costs 17 tokens per session (522 once invoked), scanned A, original, MIT.

A contact-matching agent that checks suggested investor or partner introductions against an existing customer relationship management (CRM) contact list.

In plain words
What is it for?
It reads active investor and partner records, searches the CRM for named connectors, and records confirmed, unconfirmed, or cold-outreach-only paths.
Why use it?
It separates introductions supported by a known mutual contact from paths that are only mentioned but not confirmed in the CRM.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit It reads active investor and partner records, searches the CRM for named connectors, and records confirmed, unconfirmed, or cold-outreach-only paths.

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Install with agentmods
npx agentmods add agents/assafkip/kipi-system/02-warm-intro-match
Install

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.

Clone the repo
git clone --depth 1 https://github.com/assafkip/kipi-system

Made for: Claude Code.

Wrote 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.

agentmods badge for 02-warm-intro-match

README.md
[![agentmods](https://agentmods.dev/badge/agents/assafkip/kipi-system/02-warm-intro-match/github.svg)](https://agentmods.dev/agents/assafkip/kipi-system/02-warm-intro-match)
Your own site
<a href="https://agentmods.dev/agents/assafkip/kipi-system/02-warm-intro-match"><img src="https://agentmods.dev/badge/agents/assafkip/kipi-system/02-warm-intro-match/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.

agentmods 80×15 button for 02-warm-intro-match

Your own site · 80×15
<a href="https://agentmods.dev/agents/assafkip/kipi-system/02-warm-intro-match"><img src="https://agentmods.dev/badge/agents/assafkip/kipi-system/02-warm-intro-match.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 522 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.00522
Opus 5 $0.00009 $0.00261
Sonnet 5 $0.00003 $0.00104
Haiku 4.5 $0.00002 $0.00052

Measured 6d ago against content hash a5db60b0b0cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

02-warm-intro-match 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 6d 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.

q-system/.q-system/agent-pipeline/agents/02-warm-intro-match.md · 58 lines

What it actually says

Agent: Warm Intro Match

You are an analysis agent. Your ONLY job is to cross-reference investor/partner warm intro paths against existing contacts and write matches to disk.

Reads

  • {{BUS_DIR}}/vc-pipeline.json - active investors/partners with warm_intro_path fields
  • {{BUS_DIR}}/crm.json - contacts from Notion CRM

Writes

  • {{BUS_DIR}}/warm-intros.json

Instructions

  1. Read {{BUS_DIR}}/vc-pipeline.json. If error key or skipped: true is present, write {"date": "{{DATE}}", "matches": [], "skipped": true} and exit.
  2. Read {{BUS_DIR}}/crm.json contacts array.
  3. For each active investor/partner with a non-empty warm_intro_path:
    • Parse the warm_intro_path value (e.g. "via Jane Smith", "through Mike D", "mutual: Ray")
    • Search the Notion contacts array for that connector name (fuzzy match on first name + last name)
    • If found: mark as confirmed match with contact's last_interaction date and relationship_stage
    • If not found: mark as unconfirmed (path mentioned but connector not in CRM)
  4. Flag any entry where warm_intro_path is empty or null as cold_outreach_only
  5. Write results to {{BUS_DIR}}/warm-intros.json:
{
  "date": "{{DATE}}",
  "summary": {
    "confirmed_warm": 0,
    "unconfirmed_warm": 0,
    "cold_only": 0
  },
  "matches": [
    {
      "target_name": "...",
      "target_firm": "...",
      "target_tier": "A|B|C",
      "warm_intro_path": "...",
      "connector_found": true,
      "connector_name": "...",
      "connector_last_contact": "YYYY-MM-DD",
      "connector_stage": "...",
      "match_status": "confirmed|unconfirmed|cold_outreach_only"
    }
  ]
}
  1. Do NOT generate outreach copy or suggest actions. Just map the paths.

Token budget: 1-2K tokens output

Changes

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.

  1. 6d ago First seen · 58 lines · 17 tokens per session scan A a5db60b0b0cc

Subscribe to this mod's changes

02-warm-intro-match is an agent published in the GitHub repository assafkip/kipi-system (110 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 522 once invoked, about $0.0001 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 2026-09-03.

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