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 tushaarmehtaa/tushar-skills --skill fundraisinggit clone --depth 1 https://github.com/tushaarmehtaa/tushar-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/tushaarmehtaa/tushar-skills/fundraising)<a href="https://agentmods.dev/skills/tushaarmehtaa/tushar-skills/fundraising"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/fundraising/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/tushaarmehtaa/tushar-skills/fundraising"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/fundraising.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 | $0.00039 | $0.00807 |
| Opus 5 | $0.00019 | $0.00404 |
| Sonnet 5 | $0.00008 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00081 |
Grade A, and why
fundraising 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fundraising
Separate storytelling problems from company-fact problems. Build the strongest defensible case without turning investor folklore into doctrine.
Choose a mode
- Raise/no-raise: test whether venture capital fits the company and alternatives.
- Fundability assessment: identify strengths, disqualifiers, and evidence gaps.
- Deck or memo audit: test narrative, claims, metrics, and consistency.
- Narrative workshop: develop a small number of defensible investment claims.
- Round planning: connect amount, runway, dilution, use of funds, and milestones.
- Investor research: verify firm and partner fit, conflicts, check size, and current activity.
- Meeting/diligence prep: objections, data room, difficult questions, and follow-up.
Use only the modes needed.
Workflow
- Inspect existing deck, memo, metrics, product/customer evidence, cap table, financial model, prior feedback, and repository context before interviewing.
- Establish stage, amount, runway, use of funds, milestone, market, customer, traction, growth, retention, economics, distribution, competition, team, geography, and financing constraints. Ask only blocking questions.
- Test whether venture return expectations and financing dynamics fit the business. Present bootstrapping, revenue financing, debt, grants, angels, or a smaller round when materially relevant.
- Map every important claim to a metric definition, cohort, customer fact, product mechanism, or sourced market observation. Flag unsupported claims and inconsistent periods or denominators.
- Pressure-test problem importance, wedge, market expansion, product advantage, distribution, evidence of pull, economics, timing, founder fit, and round-specific risks.
- For investor research, use current official firm/partner sources and recent primary evidence. Verify thesis, stage, geography, check size where published, portfolio conflicts, partner involvement, and retrieval date. Do not infer active interest.
- Build headlines and evidence before slide prose. Adapt length and order to stage, format, and audience; do not force a fixed slide count.
- Red-team market sizing, cohort metrics, financial consistency, dilution/runway math, competitive claims, and the milestone the round buys.
- Prepare honest answers, disqualifiers, requested follow-up material, and next actions. Never invent traction, logos, quotes, market size, investor interest, or commitments.
What ships with it
2 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 · 62 lines · 39 tokens per session scan A 430fe5c9786e
fundraising is a skill published in the GitHub repository tushaarmehtaa/tushar-skills (11 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 807 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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