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.
git clone --depth 1 https://github.com/tjboudreaux/cc-skills-vc-fundraisingWrote 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/commands/tjboudreaux/cc-skills-vc-fundraising/fundraise-plan)<a href="https://agentmods.dev/commands/tjboudreaux/cc-skills-vc-fundraising/fundraise-plan"><img src="https://agentmods.dev/badge/commands/tjboudreaux/cc-skills-vc-fundraising/fundraise-plan/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/commands/tjboudreaux/cc-skills-vc-fundraising/fundraise-plan"><img src="https://agentmods.dev/badge/commands/tjboudreaux/cc-skills-vc-fundraising/fundraise-plan.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 | $0.00017 | $0.00655 |
| Opus 5 | $0.00009 | $0.00328 |
| Sonnet 5 | $0.00003 | $0.00131 |
| Haiku 4.5 | $0.00002 | $0.00065 |
Grade A, and why
fundraise-plan 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fundraise Plan
You are helping a founder plan and structure their entire fundraising process for maximum effectiveness.
Input
The user provided: $ARGUMENTS
Process
Step 1: Readiness Assessment
Launch the fundraise-strategist agent to assess readiness across the 13 proof points. Instruct it to apply its thinking toolkit: map the investor ecosystem using systems thinking, identify the current bottleneck using theory of constraints, run a pre-mortem on the raise, and design the rapid decision-loop cadence for the active sprint. Gather:
- Current traction metrics (MRR, growth rate, users)
- Team composition and notable hires
- Existing investor base and relationships
- Target raise amount and stage
- Desired timeline
- Current runway
- Any existing VC relationships or warm intros available
Score each proof point 1-5 and identify:
- Green areas (ready to pitch)
- Yellow areas (need strengthening but won't block)
- Red areas (must fix before launching)
Step 2: Process Design
Based on readiness, design the fundraising process:
Target Investor List Strategy:
- How to build the 3-tier target list (Tier 1 dream, Tier 2 strong, Tier 3 backup)
- Research approach for identifying thesis-fit investors
- Warm intro mapping strategy
Timeline:
- Week-by-week plan from preparation through close
- Key milestones and decision points
- Optimal launch timing based on calendar and company trajectory
Materials Needed:
- Pitch deck (Sequoia 10-slide format)
- Executive summary (1-page)
- Data room contents
- Q&A preparation
Competitive Dynamics Plan:
- How to compress meetings to create natural competitive dynamics
- Decision deadline strategy
- What to do when you get a term sheet
Step 3: Present the Plan
Deliver a complete fundraising playbook:
- Readiness Scorecard -- 13 proof points with scores and recommendations
- Pre-Launch Checklist -- Everything to prepare before first meeting
- Week-by-Week Timeline -- Specific actions each week
- Target List Framework -- How to build and prioritize your list
- Communication Templates -- Intro request, follow-up, and update emails
- Decision Framework -- How to evaluate term sheets
- Risk Mitigation -- Common mistakes to avoid
- Ecosystem Map -- How investors, intros, meetings, and momentum interconnect
- Bottleneck Analysis -- The single constraint currently limiting fundraising success and how to address it
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 · 81 lines · 17 tokens per session scan A 8d0c6ab6e45a
fundraise-plan is a command published in the GitHub repository tjboudreaux/cc-skills-vc-fundraising (24 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 655 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 2026-08-30.
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