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 outreach-diagnosisgit 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/outreach-diagnosis)<a href="https://agentmods.dev/skills/oncesylvia/fundraising-skills/outreach-diagnosis"><img src="https://agentmods.dev/badge/skills/oncesylvia/fundraising-skills/outreach-diagnosis/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/outreach-diagnosis"><img src="https://agentmods.dev/badge/skills/oncesylvia/fundraising-skills/outreach-diagnosis.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 | $0.00117 | $0.01266 |
| Opus 5 | $0.00059 | $0.00633 |
| Sonnet 5 | $0.00023 | $0.00253 |
| Haiku 4.5 | $0.00012 | $0.00127 |
Grade A, and why
outreach-diagnosis 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.
Outreach diagnosis (why you're getting zero)
Sending more of what isn't working just burns your list and your morale. This skill finds the real bottleneck in a fundraising outreach funnel and tells you honestly whether to keep going, change the message, change the channel, or stop and fix something upstream first.
Read shared/references/outreach-ethics.md first.
First, the honest baseline (so you don't panic at the wrong thing)
- Cold outreach is a low-yield channel. Even well-done cold email to investors converts on the order of ~1% to a meeting. Zero from a small cold batch (say <50) is statistically normal — not a verdict on you or your company.
- Warm intros are a different game. If warm intros are also converting to nothing, that's a real signal — targeting, pitch, or readiness, not the channel. So separate the two before diagnosing. Same number "0 meetings" means very different things cold vs warm.
Gather the real funnel (by channel and tier)
Ask for the actual numbers, split cold vs warm and by target tier:
- Contacts reached, opens (email), replies, meetings, advances.
- Which were warm vs cold; which tier (A/B/C from
investor-targeting). - The exact message(s) sent and the target list.
Localize the drop-off → the culprit
| Where it dies | Likely cause | Fix (skill) |
|---|---|---|
| No opens (email) | subject line, deliverability, wrong/guessed address | cold-email (subject); verify contacts |
| Opens, no replies | weak/generic hook, no real personalization, targeting off, or you're not yet compelling (traction/readiness) | cold-email hook · investor-targeting · readiness check below |
| Replies, no meetings | vague ask, or polite passes = a fit/traction signal | cold-email ask · read the passes |
| Meetings, no advance | the pitch, the traction, or genuine stage/fit mismatch | pitch-narrative · cold-call objections |
| Warm intros also dying | targeting or readiness, NOT the channel | targeting + readiness below |
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 · 117 tokens per session scan A 329627807402
outreach-diagnosis is a skill published in the GitHub repository oncesylvia/fundraising-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 117 tokens to every session and 1,266 once invoked, about $0.0006 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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