fundraise-pipeline-tracker

fundraise-pipeline-tracker is a skill for Claude Code, Codex from KirKruglov/claude-skills-kit. It costs 88 tokens per session (1,943 once invoked), scanned A, original, MIT.

A fundraising tracker that turns pasted investor notes into a ranked list of investors, their current status, and their next steps. It works without a customer-management system, often called a CRM.

In plain words
What is it for?
Organizing an investor pipeline into three priority levels, recording each investor’s status and feedback, and creating a prioritized follow-up list from notes and round details.
Why use it?
It makes scattered meeting notes and email summaries easier to act on. Founders can see which follow-ups are overdue and which investors have stopped responding.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Organizing an investor pipeline into three priority levels, recording each investor’s status and feedback, and creating a prioritized follow-up list from notes and round details.

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Install with agentmods
npx agentmods add skills/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker
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.

Any agent
npx skills add KirKruglov/claude-skills-kit --skill fundraise-pipeline-tracker
Clone the repo
git clone --depth 1 https://github.com/KirKruglov/claude-skills-kit

Made for: Claude Code, Codex.

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 fundraise-pipeline-tracker

README.md
[![agentmods](https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker/github.svg)](https://agentmods.dev/skills/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker)
Your own site
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker/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 fundraise-pipeline-tracker

Your own site · 80×15
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,943 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 $0.00088 $0.01943
Opus 5 $0.00044 $0.00971
Sonnet 5 $0.00018 $0.00389
Haiku 4.5 $0.00009 $0.00194

Measured 12d ago against content hash e8808e71d917, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fundraise-pipeline-tracker 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 12d 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.

skills/business-ops/fundraise-pipeline-tracker/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fundraise Pipeline Tracker

This skill assembles a structured investor pipeline from pasted meeting notes and round context for founders raising without a CRM. From raw investor notes, it generates a tiered pipeline (Tier 1/2/3), per-investor detail (status, next step, why us, feedback), and a prioritised Needs Action list separating "overdue next steps" from "gone silent."

Input:

  • Pasted investor notes (free-form meeting notes, email summaries, bullet lists)
  • Optional: round context (stage, target raise, timeline)

Output:

  • Markdown document: Pipeline Table → Per-Investor Detail → Needs Action list

Language Detection

Detect the user's language from their message:

  • If Russian (or contains Cyrillic): respond in Russian
  • If English (or other Latin-script language): respond in English
  • If ambiguous: respond in the language of the trigger phrase used

Instructions

Step 1: Validate Input

  1. Check if the user has provided investor notes (any non-empty text describing investors).

    • If input is empty or whitespace only: stop and respond with the bilingual prompt:

      "Вставь заметки по инвесторам (имя, фирма, статус, что обсуждали). / Paste your investor notes (name, firm, status, what was discussed)."

    • If the input looks like a pitch deck, financial model, or investor update email rather than tracking notes: redirect (see Negative Cases).
  2. Extract optional round context if provided: stage (pre-seed / seed / Series A / other), target raise amount, timeline, lead status.

Step 2: Parse Investor Entries

  1. Identify each distinct investor mentioned in the notes.

    • Extract per investor: name, firm, investor type (VC / angel / strategic / family office / unknown).
    • Note the date of last contact if explicitly mentioned or inferable (e.g., "met last Monday", "Jun 12 call").
    • If no dates are present anywhere: flag this for Step 4.
  2. Extract engagement signals for each investor:

    • Positive: term sheet, due diligence request, second meeting, "very interested", lead intent.
    • Neutral: first meeting done, intro made, pending follow-up.
    • Negative: passed, no response noted, "not the right time."
    • Silent: note says no reply, user says they haven't heard back.

Read the full file on GitHub · 156 lines

Files

What ships with it

4 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.

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. 12d ago First seen · 156 lines · 88 tokens per session scan A e8808e71d917

Subscribe to this mod's changes

fundraise-pipeline-tracker is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 1,943 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 2026-08-30.

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