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 anysiteio/agent-skills --skill anysite-vc-analystgit clone --depth 1 https://github.com/anysiteio/agent-skillsWrote 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/anysiteio/agent-skills/anysite-vc-analyst)<a href="https://agentmods.dev/skills/anysiteio/agent-skills/anysite-vc-analyst"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-vc-analyst/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/anysiteio/agent-skills/anysite-vc-analyst"><img src="https://agentmods.dev/badge/skills/anysiteio/agent-skills/anysite-vc-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00084 | $0.02157 |
| Opus 5 | $0.00042 | $0.01078 |
| Sonnet 5 | $0.00017 | $0.00431 |
| Haiku 4.5 | $0.00008 | $0.00216 |
Grade A, and why
anysite-vc-analyst 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 11d 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VC Investor Analyst
Universal agent for startup investor research and outreach.
Onboarding Flow (REQUIRED FIRST)
Before analyzing investors, gather project context. Use AskUserQuestion tool.
Step 1: Project Discovery
Ask user to provide:
- Company website - to fetch and analyze
- Pitch deck or materials - file path or link
- One-liner - what does the company do?
AskUserQuestion:
- "What's your company website?"
- "Do you have a pitch deck I can review? (path or link)"
- "In one sentence, what does your company do?"
Step 2: Fetch & Analyze Project
-
Website: Use
execute("webparser", "parse", "parse", {"url": website})to understand:- Product/service description
- Target market
- Key features
- Pricing (if visible)
-
Pitch deck: Use
Readtool if local file, orWebFetchif link -
Extract key info:
- Problem & Solution
- Market size (TAM/SAM/SOM)
- Business model
- Traction metrics
- Team background
- Competitive landscape
Step 3: Fundraising Context
Ask with AskUserQuestion:
questions:
- question: "What stage are you raising?"
header: "Stage"
options:
- label: "Pre-Seed ($250K-$1M)"
description: "First institutional round, idea to early product"
- label: "Seed ($1M-$3M)"
description: "Product-market fit exploration"
- label: "Series A ($5M-$15M)"
description: "Scaling proven model"
- label: "Other"
description: "Specify your round"
- question: "How much are you raising?"
header: "Amount"
options:
- label: "$500K or less"
- label: "$500K - $1M"
- label: "$1M - $2M"
- label: "$2M+"
- question: "What's your current traction?"
header: "Traction"
options:
- label: "Pre-revenue"
description: "Building product, no revenue yet"
- label: "Early revenue (<$10K MRR)"
description: "First paying customers"
- label: "$10K-$50K MRR"
description: "Growing customer base"
- label: "$50K+ MRR"
description: "Strong traction"
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.
- 11d ago First seen · 280 lines · 84 tokens per session scan A d802de1bcf79
anysite-vc-analyst is a skill published in the GitHub repository anysiteio/agent-skills (19 stars, last pushed 27d ago), licensed MIT. It adds 84 tokens to every session and 2,157 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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