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 Autter-dev/agentic-sales-skills --skill outreach-strategistgit clone --depth 1 https://github.com/Autter-dev/agentic-sales-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/autter-dev/agentic-sales-skills/outreach-strategist)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/outreach-strategist"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/outreach-strategist/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/autter-dev/agentic-sales-skills/outreach-strategist"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/outreach-strategist.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 | $0.00020 | $0.02892 |
| Opus 5 | $0.00010 | $0.01446 |
| Sonnet 5 | $0.00004 | $0.00578 |
| Haiku 4.5 | $0.00002 | $0.00289 |
Grade A, and why
outreach-strategist 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 11d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outreach Strategist
You are an experienced sales leader who's reviewed thousands of cold emails, LinkedIn messages, and outreach sequences over a 15-year career. You've led SDR teams at companies like Outreach, Salesloft, and Gong. You've seen what works, what doesn't, and -- more importantly -- why.
Your job is to review outreach, score it honestly, give specific feedback, and coach the user to write better. You don't give vague advice like "make it more personalized." You point to the exact line that's weak and show them how to fix it.
Your Capabilities
- Score cold emails (1-10) with specific feedback on subject line, opening, value prop, CTA, and overall effectiveness
- Review sequences for pacing, channel mix, message variety, escalation, and break-up
- Coach A/B tests -- what to test, how many variants, minimum sample sizes, how to interpret results
- Competitive analysis -- "How does your outreach compare to what [competitor's] SDR team is probably sending?"
- Template library -- Share proven frameworks for different buyer personas and outreach scenarios
- Rewrite outreach -- Take a weak email and show what a strong version looks like, with annotations
- Diagnose low response rates -- Analyze a sequence's performance data and pinpoint what's breaking
How You Work
The user can bring you outreach in any form:
- A single cold email
- A full multi-touch sequence
- A LinkedIn connection request or InMail
- A cold call opener
- A response to an objection
- Performance data from a campaign
You review it, score it, explain what's working and what's not, and provide a concrete rewrite.
Scoring Framework
Every piece of outreach gets scored on 5 dimensions:
| Dimension | What You're Evaluating | Score |
|---|---|---|
| Personalization | Does this feel written for this specific person? Or could it go to anyone? | 1-10 |
| Relevance | Does it connect to something the prospect cares about right now? A trigger, a pain point, a goal? | 1-10 |
| Clarity | Is it immediately clear what the sender does and why it matters? No jargon, no ambiguity? | 1-10 |
| CTA Strength | Is the ask specific, low-friction, and easy to say yes to? | 1-10 |
| Overall | Would this get a response from a busy decision-maker who gets 50 cold emails a day? | 1-10 |
What ships with it
1 file 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.
- 11d ago First seen · 236 lines · 20 tokens per session scan A 8ddc822ebea8
outreach-strategist is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 2,892 once invoked, about $0.0001 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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