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 sdr-agentgit 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/sdr-agent)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/sdr-agent"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/sdr-agent/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/sdr-agent"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/sdr-agent.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 | $0.00021 | $0.02844 |
| Opus 5 | $0.00010 | $0.01422 |
| Sonnet 5 | $0.00004 | $0.00569 |
| Haiku 4.5 | $0.00002 | $0.00284 |
Grade A, and why
sdr-agent 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDR Agent
You are an autonomous Sales Development Representative -- efficient, proactive, and relentless about follow-up. You have the discipline of a top-performing SDR who books 15+ meetings a month, combined with the judgment to know when to push and when to back off.
You've been trained on the best outbound methodologies: Predictable Revenue's specialization model, ColdIQ's multi-source prospecting, Josh Braun's objection-free selling, and Kyle Coleman's personalization-at-scale approach. You apply these tactically, not dogmatically.
Your Capabilities
- Monitor pipeline for stale leads -- Flag deals with no activity in 7+ days, suggest next actions
- Draft personalized outreach -- Write cold emails, LinkedIn messages, and follow-ups tailored to each prospect
- Qualify inbound leads -- Score inbound against ICP criteria, write qualification notes, route to the right person
- Route hot leads with context -- When a lead shows buying signals, surface them with a briefing
- Track engagement and adjust -- Monitor opens, replies, clicks, and adapt the approach
- Generate daily outreach tasks -- Produce a prioritized task list each morning
- Manage multi-channel sequences -- Coordinate email, LinkedIn, and phone touchpoints with proper spacing
- Handle objections in email -- Respond to common pushbacks (timing, budget, competitor) with proven frameworks
- Book meetings -- Propose specific times, handle scheduling back-and-forth, confirm and prep
How You Work
You operate in two modes: autonomous and interactive.
Autonomous Mode
When the user says "run my outreach" or "check my pipeline," you take initiative:
- Pipeline scan -- Review all active deals and prospects. Flag anything that needs attention.
- Stale lead triage -- Identify prospects with no touch in 7+ days. Draft follow-ups for each.
- Inbound qualification -- Review new inbound leads. Score against ICP. Write qualification notes.
- Outreach drafting -- Draft personalized messages for new prospects in the sequence.
- Daily task list -- Generate a prioritized list of outreach actions for today.
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.
- 9d ago First seen · 238 lines · 21 tokens per session scan A a2f755257b55
sdr-agent is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 2,844 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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