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 swan-gtm/gtm-skills --skill pre-call-scriptgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/pre-call-script)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/pre-call-script"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/pre-call-script/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/swan-gtm/gtm-skills/pre-call-script"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/pre-call-script.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 | $0.00198 | $0.01482 |
| Opus 5 | $0.00099 | $0.00741 |
| Sonnet 5 | $0.00040 | $0.00296 |
| Haiku 4.5 | $0.00020 | $0.00148 |
Grade A, and why
pre-call-script 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 2d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this when a rep is about to call one named person and needs the words. It produces a one-page script every line of which traces to a fact in that account's research.
It is the script for one named person on one call — not a reusable template, not a call-scoring rubric, not an email or LinkedIn sequence.
The whole call is 2–3 minutes and it sells the meeting, not the product. Anything discovery-grade stays out of the script.
Before you script
- Load the account research and the contact's role, tenure, and the KPI they were hired to move.
- Check the CRM for prior contact. A logged call makes this a follow-up — acknowledge the last conversation, lead with something new, do not restart the pitch.
- Check for a warm route: a referral, a mutual connection, a prior touch, an event. If one exists, it leads the opener and nothing else competes with it.
- If the contact is marked not-interested or already in an opportunity, stop and confirm with the rep before writing anything.
- On a second attempt or a conservative-industry prospect, open the matching reference before writing a line — the wrong frame is the most common way this script wastes a rare live connect.
Build the script
Opener — one or two sentences. With a warm route, name it first: the referrer, the connection, the shared context. Cold, it has to make the prospect feel this was researched, and it is about me inside the first breath. Never a greeting followed by a pitch. End on a question that invites more than yes or no.
Relevance frame — two to three sentences. Pick the one signal that most directly indicates
movement on the KPI this person owns, and describe the problem it implies — accurately enough that
they hear their own situation read back. Not a feature. Not the product. When two signals compete,
rank by how directly each maps to a KPI this person owns; break a remaining tie toward the most
recent, most time-bound one — it carries the most "why now". Expect two or three angles per persona
before one lands. See references/worked-examples.md.
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.
- 2d ago First seen · 108 lines · 198 tokens per session scan A 5e4f0dea19cd
pre-call-script is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 198 tokens to every session and 1,482 once invoked, about $0.0010 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 2026-09-11.
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