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 akiotanaka847/qaio-desktop --skill cold-email-sequencegit clone --depth 1 https://github.com/akiotanaka847/qaio-desktopWrote 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/akiotanaka847/qaio-desktop/cold-email-sequence)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/cold-email-sequence"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/cold-email-sequence/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/akiotanaka847/qaio-desktop/cold-email-sequence"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/cold-email-sequence.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 | $0.00095 | $0.02319 |
| Opus 5 | $0.00048 | $0.01159 |
| Sonnet 5 | $0.00019 | $0.00464 |
| Haiku 4.5 | $0.00010 | $0.00232 |
Grade A, and why
cold-email-sequence 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 6d 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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold Email Sequence
Co-write a 3-email cold outreach sequence one email at a time. The sequence follows the James Shields framework: trigger-based subject, three-sentence body, irresistible no-strings offer, one-word reply CTA. I present each draft, refine with you, and lock it before moving to the next - voice, social proof, and offer all stay tight that way.
James Shields framework - a widely-used outbound playbook that rejects the "book a demo" CTA in favor of trigger-based subjects, three-sentence bodies, free no-strings offers, and one-word reply CTAs. Optimized for reply rate, not impression count.
When to use
- "Write me a cold email sequence for these contacts".
- "Draft 3-email outreach for {audience}".
- Phase 4 of either LinkedIn pipeline.
- You have a verified contact list (from Apollo, Clay, Hunter, or anywhere else) and want fresh copy.
- You want to refresh tired cold email copy with a proven framework.
When NOT to use
- Warm leads who already know you - use a direct one-off email, not a 3-step cold sequence.
- Lifecycle / onboarding / nurture for existing users - that's a different motion (and lives in the Marketing agent).
- Transactional emails (receipts, password resets, notifications).
- Post-call follow-ups - use the Sales agent's
write-my-outreachwithstage=followup. - Newsletters or content emails - use the Marketing agent's content skills.
Connections I need
- None. This skill writes locally and produces a sequence file. Connections come back into play in
instantly-campaign(the next phase).
Information I need
I gather the inputs in step 1 below. The minimum:
- Trigger / source - what connects you to these leads (the LinkedIn post, the event, the news item).
- Product - one-line description of what you sell.
- Social proof - at least one case study with real numbers (no "10x improvement" without naming who and how). Preferably 3+ so each email gets fresh proof.
- Offer - the free / low-friction thing you're giving away (teardown, audit, free trial, free seat).
- Reply CTA - the one-word reply you want (defaults to "I'm in").
- Sender - your first name only.
- Existing draft - optional, any copy you want me to start from.
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.
- 6d ago First seen · 237 lines · 95 tokens per session scan A 497a64b00e79
cold-email-sequence is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 95 tokens to every session and 2,319 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 2026-09-05.
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