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 AlexisMarasigan/coldoutboundskills --skill cold-email-weekly-rhythmgit clone --depth 1 https://github.com/AlexisMarasigan/coldoutboundskillsWrote 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/alexismarasigan/coldoutboundskills/cold-email-weekly-rhythm)<a href="https://agentmods.dev/skills/alexismarasigan/coldoutboundskills/cold-email-weekly-rhythm"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/cold-email-weekly-rhythm/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/alexismarasigan/coldoutboundskills/cold-email-weekly-rhythm"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/cold-email-weekly-rhythm.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 | $0.00070 | $0.01957 |
| Opus 5.5 | $0.00028 | $0.00783 |
| Sonnet 5.5 | $0.00014 | $0.00391 |
| Haiku 4.5 | $0.00007 | $0.00196 |
Grade A, and why
cold-email-weekly-rhythm 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 2mo 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.
This is a copy
100% identical to cold-email-weekly-rhythm — 52 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold Email Weekly Rhythm
Having 29 cold email skills doesn't help if you don't run them on a schedule. This is that schedule.
This is a pure playbook. No scripts, no automatic reminders. You put the rhythm on your own calendar (Step 1 below) and run the prescribed skill at the prescribed time. That's the entire system.
Step 1 (required before using this skill): Put the rhythm on your calendar
Open Google Calendar / Outlook / Apple Reminders / whatever you actually look at every day. Create these as recurring events. Copy the titles and cadences exactly.
| Event title | Cadence |
|---|---|
| Cold email: Monday deliverability audit | Every Monday, 9:00 am |
| Cold email: Wednesday positive-reply sweep | Every Wednesday, 10:00 am |
| Cold email: Friday campaign retrospectives | Every Friday, 3:00 pm |
| Cold email: Inbox rotation | Every other Monday, 11:00 am |
| Cold email: Monthly spam placement test | 1st of each month, 10:00 am |
| Cold email: Quarterly experiment review | First Monday of each quarter, 1:00 pm |
Do not skip Step 1. The difference between hobbyist and top-1% cold email operators is that the top-1% operators actually run these tasks on their declared cadence, week after week. Your calendar is the accountability system. This skill doesn't have a built-in reminder — intentionally — because if it did and it broke, your ops would silently fail.
Monday — Deliverability audit (15 min)
Run:
/email-deliverability-audit --days=7
(If using the scoped version: audit-performance.ts --campaign-ids=<active campaign ids> --days=7)
Review:
- Fleet reply rate over last 7 days — must be ≥1% (the 1% rule)
- Flagged campaigns (
flag_low_reply = TRUE) - Flagged inboxes (
flag_high_bounce = TRUE)
Action:
- If any campaign failed the 1% rule: run
/deliverability-incident-response→ triage decision tree - If bounce rate spiked above 2%: pause the offending campaign immediately, then triage
- If everything clean: log the check in a weekly journal, close the tab
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.
- 2mo ago First seen · 201 lines · 70 tokens per session scan A eb85a7eecf27
cold-email-weekly-rhythm is a skill published in the GitHub repository AlexisMarasigan/coldoutboundskills (5 stars, last pushed 6mo ago), licensed MIT. It adds 70 tokens to every session and 1,957 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to cold-email-weekly-rhythm, differing in 52 lines, and is treated as a copy.
cold-email-weekly-rhythm compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cold-email-weekly-rhythmAlexisMarasigan/coldoutboundskills | Skill | 5 | 6mo ago | MIT | A | 70 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |