What is vc-curated-match?

A matching tool that uses a product description, website, funding stage, industry, and niche to identify suitable venture-capital funds from a curated dataset. Venture capital is investment in growing companies in exchange for ownership.

Use it to find potential pre-seed, seed, or Series A investors and generate a report of the closest matches.

It narrows a broad investor search to funds whose stated focus matches the product and its stage.

vc-curated-match — Skill for Claude Code by Varnan-Tech

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 Varnan-Tech/opendirectory --skill vc-curated-match

Clone the repo

git clone --depth 1 https://github.com/Varnan-Tech/opendirectory

Made for: Claude Code.

Or install opendirectory, the plugin that ships this one along with the rest of its 58 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/varnan-tech/opendirectory/vc-curated-match/github.svg)](https://agentmods.dev/skills/varnan-tech/opendirectory/vc-curated-match)

Your own site

<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/vc-curated-match"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/vc-curated-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/vc-curated-match"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/vc-curated-match.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 342 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.00342
Opus 5	$0.00018	$0.00171
Sonnet 5	$0.00007	$0.00068
Haiku 4.5	$0.00004	$0.00034

Measured 10d ago against content hash 83c843eba368, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

vc-curated-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 10d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/fetch_product_context.py, scripts/generate_report.py, scripts/match_vcs.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/vc-curated-match/SKILL.md · 60 lines

What it actually says

VC Curated Match Skill

Identify targeted VC funds based on a product's description and URL.

When to Trigger This Skill

Use this skill when the user asks to:

Find investors for their startup or open-source project.
Get a list of relevant VC funds by stage, industry, or space.
Match their product built with specific technologies to investor theses.

Step 1: Confirm Input

Ask the user for the product description and the URL. Optional parameters:

Stage: Pre-Seed, Seed, Series A (--stage)
Output: e.g., vc-matches.md (--output)

Step 2: Fetch Matches & Generate Report

Run the orchestrator script to handle context fetching, VC matching, and Markdown generation in one command.

python scripts/run.py --description "A fast rust-based web framework" --url "https://example.com"

For custom requests, append overrides:

python scripts/run.py \
  --description "..." \
  --url "..." \
  [--stage Seed] \
  [--output matched-investors.md]

Step 3: Present Results

Summarize the closest matches returned. Mention high-confidence matches explicitly. Provide the output path.

Dependencies

Standard Python 3.10+ library (no external packages required).

Files

What ships with it

11 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.

10d ago First seen · 60 lines · 36 tokens per session scan A 83c843eba368

Subscribe to this mod's changes

vc-curated-match is a skill published in the GitHub repository Varnan-Tech/opendirectory (637 stars, last pushed 24d ago), licensed MIT. It adds 36 tokens to every session and 342 once invoked, about $0.0002 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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