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 KirKruglov/claude-skills-kit --skill fundraise-pipeline-trackergit clone --depth 1 https://github.com/KirKruglov/claude-skills-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/kirkruglov/claude-skills-kit/fundraise-pipeline-tracker)<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.
<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>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 | $0.00088 | $0.01943 |
| Opus 5 | $0.00044 | $0.00971 |
| Sonnet 5 | $0.00018 | $0.00389 |
| Haiku 4.5 | $0.00009 | $0.00194 |
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.
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
-
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).
- If input is empty or whitespace only: stop and respond with the bilingual prompt:
-
Extract optional round context if provided: stage (pre-seed / seed / Series A / other), target raise amount, timeline, lead status.
Step 2: Parse Investor Entries
-
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.
-
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.
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.
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.
- 12d ago First seen · 156 lines · 88 tokens per session scan A e8808e71d917
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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