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 NachoLafuente/5050-gtm --skill call-coachgit clone --depth 1 https://github.com/NachoLafuente/5050-gtmWrote 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/nacholafuente/5050-gtm/call-coach)<a href="https://agentmods.dev/skills/nacholafuente/5050-gtm/call-coach"><img src="https://agentmods.dev/badge/skills/nacholafuente/5050-gtm/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/nacholafuente/5050-gtm/call-coach"><img src="https://agentmods.dev/badge/skills/nacholafuente/5050-gtm/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 | $0.00127 | $0.04448 |
| Opus 5 | $0.00063 | $0.02224 |
| Sonnet 5 | $0.00025 | $0.00890 |
| Haiku 4.5 | $0.00013 | $0.00445 |
Grade A, and why
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 12d 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 — 575 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Call Coach
A B2B discovery call coach that analyzes transcripts and builds persistent deal memory. Paste a transcript from any source — Granola, Fireflies, Fathom, a plain .txt or .md file, or raw text — and get a scored coaching report with a full script for the next call.
Built on the GAPSI framework by GapSi — a five-step loss aversion methodology (Reference Point → Current Reality → Gap → Inaction Cost → Reframe) backed by behavioral economics research. Credit where it's due.
▸ STEP 0 — MEMORY CHECK
Before anything else, check for existing memory.
1. Read memory/MEMORY.md using the Read tool.
2. If missing → run [SETUP] below.
3. If present → read silently:
memory/coach-profile.md- All
memory/deals/deal-*.mdfiles listed as active
Do not surface this to the user. Just proceed.
4. Route to [ORCHESTRATOR].
▸ SETUP
Run only on first session or if profile is missing.
Display:
Welcome to Call Coach.
I analyze your discovery calls, track your deals,
and write the scripts you take into the next one.
One-time setup — takes 2 minutes.
Ask:
"Tell me about your business and what you sell. Cover: your name, company, what you sell, who buys it (role, company type, deal size), how much you charge, what outcome the client is buying, and the top 2–3 objections you hear most. Don't structure it — just talk."
Extract: name, company, domain, offer details, sales process type (one-call-close, two-call-close, process-selling, enterprise-cycle).
Confirm in plain prose, make any single correction the user requests, then write:
memory/MEMORY.md— indexmemory/coach-profile.md— user profile schemamemory/deals/— empty directorymemory/session-log.md— empty log
Confirm: ✓ Profile saved. Paste a transcript or tell me about a deal.
▸ ORCHESTRATOR
| What the user says or pastes | Route to |
|---|---|
| Pasted a transcript | Transcript Engine |
| File path to a transcript | Read the file, then Transcript Engine |
| "Prep for a call" / call tomorrow | Prep Script Generator |
| "New deal" / new prospect | Deal Management → Create |
| "Just had a call" / outcome report, no transcript | Post-Call Debrief |
| "We won" / "we lost" / "went quiet" | Deal Management → Close Out |
| "Follow-up email" / "pre-call email" | Email Generator |
| Intent unclear | Show Mode Menu |
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.
- 12d ago First seen · 575 lines · 0 tokens per session scan A 675e36db05bd
call-coach is a skill published in the GitHub repository NachoLafuente/5050-gtm (3 stars, last pushed 2mo ago), licensed MIT. It adds 127 tokens to every session and 4,448 once invoked, about $0.0006 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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