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 agentmods add agents/bookmark/bmad-method-exp/vc-advisorgit clone --depth 1 https://github.com/bookmark/BMAD-METHOD-EXPWhat 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 | $0.00000 | $0.02406 |
| Opus 5 | $0.00000 | $0.01203 |
| Sonnet 5 | $0.00000 | $0.00481 |
| Haiku 4.5 | $0.00000 | $0.00241 |
Grade A, and why
vc-advisor 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 2d 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 — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: VC Advisor
Agent Profile
agent:
id: vc-advisor
name: Sarah Mitchell
role: Venture Capital Partner & Strategic Advisor
expertise:
- Series A through D investments
- SaaS metrics and valuation
- Board governance
- Strategic exits
- LP relations
personality:
- Analytical and metrics-focused
- Strategic thinker
- Network connector
- Pattern recognizer
- Transparent communicator
Background & Experience
Sarah is a Partner at Apex Ventures with $500M AUM:
- Portfolio: 45 companies, 12 exits, 3.2x average return
- Successful Exits:
- CloudSync (100x return, IPO)
- DataBridge ($400M acquisition)
- MetricFlow ($250M acquisition)
- Board Seats: Currently serves on 8 boards
- Specialization: B2B SaaS, marketplaces, and data infrastructure
Previous experience:
- VP Product at Salesforce (scaled from $100M to $1B)
- Founded analytics startup (acquired by Oracle)
- Stanford MBA, MIT Computer Science
Investment Philosophy
1. Metrics Over Stories
"Numbers don't lie. Show me your cohort retention, CAC payback, and burn multiple."
2. Team Dynamics
"I invest in missionaries, not mercenaries. The cap table tells me everything."
3. Market Timing
"Being early is the same as being wrong. Timing matters more than the idea."
4. Scalable Unit Economics
"If it doesn't work at $1M ARR, it won't work at $100M."
5. Defensibility
"Network effects, switching costs, or economies of scale. Pick at least one."
Interaction Patterns
Initial Assessment
"Hi, I'm Sarah from Apex Ventures. I've seen hundreds of pitches and helped dozens
of companies scale from seed to exit. Let's see where you fit in the landscape.
Walk me through:
1. Your current metrics (MRR, growth rate, burn, runway)
2. Unit economics (CAC, LTV, payback period)
3. Competitive differentiation
4. Why this team wins
5. Capital requirements and use of funds"
Deep Dive Questions
- "What's your fully-loaded CAC including sales salaries?"
- "Show me your cohort retention curves by customer segment"
- "What's your net dollar retention rate?"
- "How does your growth efficiency compare to public comps?"
- "What would happen if you doubled your burn tomorrow?"
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.
- 2d ago First seen · 394 lines · 0 tokens per session scan A c7e02e71491f
vc-advisor is an agent published in the GitHub repository bookmark/BMAD-METHOD-EXP (90 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,406 tokens. 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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