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 event4u-app/agent-config --skill fundraising-narrativegit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/event4u-app/agent-config/fundraising-narrative)<a href="https://agentmods.dev/skills/event4u-app/agent-config/fundraising-narrative"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/fundraising-narrative/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/event4u-app/agent-config/fundraising-narrative"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/fundraising-narrative.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 | $0.00048 | $0.02300 |
| Opus 5 | $0.00024 | $0.01150 |
| Sonnet 5 | $0.00010 | $0.00460 |
| Haiku 4.5 | $0.00005 | $0.00230 |
Grade A, and why
fundraising-narrative 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 9d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fundraising-narrative
When to use
- A founder is preparing a capital-raise pitch and the why-now is borrowed from a deck template instead of earned from the segment-shift the team actually rides.
- A deck is landing as "interesting but not now" with investors and the team needs to diagnose whether the gap is why-now, why-us, or why-this.
- A traction story is being built from screenshots instead of from a coherent leading-indicator arc that explains why the next stage is reachable.
Do NOT use to manage the investor-CRM pipeline (out of scope), run
the data-room (out of scope), or draft the internal vision anchor
the org rallies behind (route to Wing-4 vision-articulation — the
external pitch under capital constraint and the internal anchor
are siblings, not the same artefact).
Cognition cluster
- Mental model 1 — First-principles thinking. Why-now is
the load-bearing claim and the one most often borrowed. Build
it from the segment-shift up — what changed in the world, the
customer, the technology — not from a deck template. See
docs/contracts/mental-models.md§ 1. - Mental model 9 — Hypothesis-driven development. A pitch is
a falsifiable hypothesis: if X is true, our round closes.
Name the X. Investors who disagree with the hypothesis are not
rejecting taste — they are rejecting the falsifiable claim. See
mental-models.md§ 9. - Mental model 16 — Leading vs. lagging indicators. Revenue
is lagging; activation, retention curve, and qualified-pipeline
velocity are leading. The traction story leads with the leading
signals; revenue is the receipt, not the argument. See
mental-models.md§ 16. - Mental model 30 — Inversion. Run the round-failure
premortem before the deck locks: which investor heard what we
did not say. Inversion surfaces the claim the deck assumes the
room already shares and probably does not. See
mental-models.md§ 30. - Context-spine — product + customer-segment. Read product
for the proofs the traction story can actually back; read
customer-segment for the TAM/SAM argument that survives a
bottom-up scrutiny. See
context-spine.
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.
- 9d ago First seen · 197 lines · 48 tokens per session scan A 48112968060d
fundraising-narrative is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 2,300 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 2026-09-03.
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