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 oncesylvia/fundraising-skills --skill cold-callgit clone --depth 1 https://github.com/oncesylvia/fundraising-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/oncesylvia/fundraising-skills/cold-call)<a href="https://agentmods.dev/skills/oncesylvia/fundraising-skills/cold-call"><img src="https://agentmods.dev/badge/skills/oncesylvia/fundraising-skills/cold-call/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/oncesylvia/fundraising-skills/cold-call"><img src="https://agentmods.dev/badge/skills/oncesylvia/fundraising-skills/cold-call.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 | $0.00106 | $0.01222 |
| Opus 5 | $0.00053 | $0.00611 |
| Sonnet 5 | $0.00021 | $0.00244 |
| Haiku 4.5 | $0.00011 | $0.00122 |
Grade A, and why
cold-call 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold call / first investor call prep
Live conversations are where warm intros and cold emails get converted — or lost. This skill preps a founder to sound calm, clear, and confident on the phone (or first Zoom): a tight opener, a narrative they can run without reading, crisp objection handling, and one clean ask. The goal is a conversation, not a recitation.
Read shared/references/outreach-ethics.md. A call is consented contact when
booked; a true cold call (unscheduled) is higher-friction — prefer earning the
call via email/intro first, and only cold-call where it's culturally normal and
you have a genuinely specific reason.
Gather before prepping
- Who's on the call (partner, associate) and how it was booked (warm/cold/
inbound). If unknown, suggest the
investor-researchskill first. - The one-liner, the raise (stage/amount/ask), and the 1–2 strongest true traction points.
- The single goal of this call — usually: earn the next meeting, not close.
The structure (prep, don't script-read)
Give the founder beats to internalize, with example phrasing they can make their
own. See references/objection-bank.md for responses.
-
Opener (~30 seconds). Who you are, why you're talking to this investor (specific + true), the one-liner, and the reason now. End by handing them the floor.
"Thanks for the time. I reached out because you led 's seed and we're building the for . In one line: we help without . Happy to give the quick version and then go wherever's most useful for you?"
-
The 90-second story (if they say "tell me more"): problem → why now → what you built → traction → why you. Concrete, numbers over adjectives. Stop and let them interrupt — investors steer; let them.
-
Make it a dialogue. After traction, ask a question back: "Does this fit how you're thinking about ?" A call where only the founder talks is a lost call.
-
Handle objections calmly (see the bank). Acknowledge → answer briefly → bridge back. Never get defensive; "good question" then a crisp, honest answer.
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 · 100 lines · 106 tokens per session scan A 160666bc22cb
cold-call is a skill published in the GitHub repository oncesylvia/fundraising-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 106 tokens to every session and 1,222 once invoked, about $0.0005 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 2026-08-31.
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