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 swan-gtm/gtm-skills --skill cold-email-preflightgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/cold-email-preflight)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/cold-email-preflight"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/cold-email-preflight/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/swan-gtm/gtm-skills/cold-email-preflight"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/cold-email-preflight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.00557 |
| Opus 5 | $0.00025 | $0.00279 |
| Sonnet 5 | $0.00010 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
cold-email-preflight 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run this in the hour before a cold email campaign goes live. It produces a launch or hold decision, and the thresholds that will stop the campaign if the first days go wrong.
The play
- Authentication: confirm the sending domain passes SPF, DKIM, and DMARC, and that tracking runs on a custom domain, not the tool's shared one. Any failure is an automatic hold.
- List quality: verify every address in the batch and drop anything the verifier is not sure about. A launch list should carry effectively zero known-bad addresses; the bounce budget is spent on the unknowable ones.
- Copy risk pass: first message carries no links and no attachments, reads like one person wrote it to one person, and every variable has a fallback so no prospect ever sees a naked placeholder. Vary phrasing across the sequence; identical strings at volume are a fingerprint.
- Volume sanity: the day-one schedule respects each mailbox's earned capacity, ramps across the week rather than front-loading Monday, and total daily volume matches what the warmed infrastructure can carry.
- Set the kill-switches before launch, in writing: the bounce-rate line and the placement signal that pause the campaign automatically, and who gets alerted. Deciding thresholds after the numbers arrive means deciding them emotionally.
- First-week watch: check bounce rate and reply rate daily per mailbox. Bounces spiking means the list lied; replies flat while opens hold means the copy missed; both healthy means scale one step.
What good looks like
- The expert habit is checking the boring plumbing first: authentication and list hygiene kill more campaigns than bad copy ever will, yet they take ten minutes to verify.
- The mediocre version launches full volume on day one with unverified addresses, links in message one, and no agreed stopping rule: every failure after that is improvisation.
- A good launch is quiet: bounces near zero, no placement alerts, and the only surprise in week one is which variant of the copy wins.
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 · 36 lines · 50 tokens per session scan A 7d63e83e3ada
cold-email-preflight is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 557 once invoked, about $0.0003 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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