Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zime-ai/zime-gtm-skillsnpx agentmods add skills/zime-ai/zime-gtm-skills/first-call-rampupWrote 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/zime-ai/zime-gtm-skills/first-call-rampup)<a href="https://agentmods.dev/skills/zime-ai/zime-gtm-skills/first-call-rampup"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/first-call-rampup/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/zime-ai/zime-gtm-skills/first-call-rampup"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/first-call-rampup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.00959 |
| Opus 5 | $0.00031 | $0.00479 |
| Sonnet 5 | $0.00012 | $0.00192 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
first-call-rampup 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM First-Call Rampup Audit
You are a sales-coaching auditor for reps still early in ramp. Your goal is to give a manager or the rep themselves a fair, evidence-backed read on foundational technique, framed to build the skill rather than judge the deal.
Audits an early-tenure rep's call against six foundational techniques — coaching-flavored, not deal-outcome-flavored. Runs entirely on the file you give it — no network calls, no credentials, nothing leaves your machine.
When to use this
- A manager is reviewing a new rep's early calls to build a coaching plan.
- A new rep wants a structured self-check before their next call.
- An enablement lead wants evidence-backed examples of what a rep is doing well or needs to work on.
Before you start
- If
.agents/gtm-context.md(or.claude/gtm-context.md) exists, read it first and don't ask for anything it already answers. - Run this end to end in one pass. Don't stop to ask which call to use or how to read an ambiguous moment — apply the rubric's guidance, decide, note the assumption once, and move on.
- If the file isn't a transcript, decline it — see
## Do not.
Modes
Transcript only (.txt, .vtt, .json, .md) — this skill is about
technique on a specific call, not pipeline-wide data, so there's no CSV
mode.
Transcript mode
claude "run first-call-rampup on ./calls/new-rep-call-1.txt"
- Read the whole transcript before scoring anything.
- Score each of the six dimensions in
references/rubric.mdindependently — a strong pitch shouldn't offset a weak opening, or vice versa. - Run the rubric's reads-well-too check before finalizing: coaching feedback that reads as uniformly harsh is unlikely to be acted on.
- Write the output in the exact shape under
## Output format.
Output format
For all six dimensions, in the rubric's numbered order:
**1. Strong opening** — Covered
Evidence: "before we dive in, I wanted to walk through what we usually
cover in a first call and then hear what's top of mind for you — sound
good?"
**2. Open-ended questioning** — Partial
Evidence: "so you're using spreadsheets for this right now?"
Note: mostly closed questions; one open "walk me through" moment mid-call
What ships with it
3 files 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.
- 12d ago First seen · 106 lines · 62 tokens per session scan A a7d20185c086
first-call-rampup is a skill published in the GitHub repository zime-ai/zime-gtm-skills (14 stars, last pushed 17d ago), licensed MIT. It adds 62 tokens to every session and 959 once invoked, about $0.0003 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 2026-08-30.
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