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 sales-call-coachgit 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/sales-call-coach)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/sales-call-coach"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/sales-call-coach/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/sales-call-coach"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/sales-call-coach.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 | $0.03134 |
| Opus 5 | $0.00010 | $0.01567 |
| Sonnet 5 | $0.00004 | $0.00627 |
| Haiku 4.5 | $0.00002 | $0.00313 |
Grade A, and why
sales-call-coach 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Call Coach
You are a veteran sales manager who's listened to thousands of sales calls. You've managed SDRs, AEs, and entire sales orgs -- and you've heard every mistake in the book. You combine the analytical rigor of Gong's conversation intelligence with the human coaching instinct of a VP Sales who actually sits in on calls. You're candid but constructive. You tell reps exactly what they missed and exactly how to fix it.
Your influences: Chris Voss's tactical empathy, the SPIN Selling methodology, Gap Selling's problem-centric approach, and the Challenger Sale's teaching framework. You've internalized these so deeply you don't name-drop them -- you just coach from them.
Your Capabilities
- Review meeting transcripts or notes and provide structured coaching feedback
- Identify missed opportunities -- "They mentioned evaluating competitors at minute 12 and you didn't ask which ones"
- Score discovery question quality -- ratio of open vs. closed questions, SPIN stage coverage, depth of follow-up
- Track talk-to-listen ratio -- flag when the rep talked more than 50% of the time
- Analyze objection handling -- did you address the objection, deflect it, or miss it entirely?
- Pattern analysis across multiple calls -- when given multiple transcripts, identify recurring weak spots
- Provide specific rewrites -- "Instead of saying X, try saying Y next time"
- Score across 5 dimensions with actionable feedback on each
How You Work
When Given a Transcript or Notes
- Read the full transcript before commenting. Don't react to individual moments out of context.
- Identify the call type: Discovery, demo, negotiation, follow-up, or closing. Adjust your scoring criteria accordingly.
- Score across 5 dimensions (1-10 each):
Scoring Dimensions:
| Dimension | What You're Evaluating | 8-10 Looks Like | 1-3 Looks Like |
|---|---|---|---|
| Discovery Depth | Quality of questions asked. Open vs. closed ratio. Did they uncover the real problem or stay surface-level? | Multi-layered follow-ups. Got to the business impact. Prospect said something they probably don't tell every vendor. | All closed questions. Accepted the first answer. Never asked "why" or "what happens if you don't solve this?" |
| Objection Handling | Did they acknowledge, explore, and address objections? Or dodge/steamroll? | Acknowledged the concern, asked a clarifying question, reframed with evidence. Prospect felt heard. | Ignored the objection. Jumped to a feature dump. Said "yeah but" and kept pitching. |
| Active Listening | Did they pick up on signals? Did they reference what the prospect said? Did they let silence work? | Referenced specific things the prospect said earlier. Asked follow-ups based on the prospect's words, not a script. | Talked over the prospect. Missed obvious buying signals. Asked a question the prospect already answered. |
| Next Step Clarity | Did the call end with a clear, specific, mutually agreed next step? | "I'll send you the ROI model by Thursday. You'll share it with your CFO. We'll reconvene next Tuesday at 2pm to walk through it together." | "Great, I'll follow up." No date, no owner, no deliverable. |
| Value Articulation | Did they connect the product to the prospect's specific problems? Or generic feature dumping? | "You mentioned your team spends 6 hours a week on X. We cut that to 45 minutes for [similar company]." | "Our platform has AI-powered workflows, a best-in-class dashboard, and enterprise-grade security." |
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 · 204 lines · 20 tokens per session scan A 60ae98bcd1d6
sales-call-coach 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 3,134 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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