call-prep

call-prep is a skill for Claude Code, Codex from alebgl77/claude-inc. It costs 75 tokens per session (698 once invoked), scanned A, original, MIT.

A preparation guide for sales calls, demos and negotiations with potential customers. It combines account context, attendee roles, discovery questions, demo priorities and pricing boundaries into a call brief.

In plain words
What is it for?
Use it to prepare questions, understand who is attending, choose what to demonstrate, identify risks and plan negotiation concessions.
Why use it?
It helps turn scattered research into a focused conversation with a clear desired outcome and fallback plan.

Skill for Claude CodeCodex

Part of the claude-inc plugin — 50 skills, 3 commands, 8 agents shipped together

Install

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.

agentmods
npx agentmods add skills/alebgl77/claude-inc/call-prep
Any agent
npx skills add alebgl77/claude-inc --skill call-prep
Clone the repo
git clone --depth 1 https://github.com/alebgl77/claude-inc

Made for: Claude Code, Codex.

Or install claude-inc, the plugin that ships this one along with the rest of its 50 skills, 3 commands, 8 agents.

Wrote 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.

agentmods badge for call-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/alebgl77/claude-inc/call-prep.svg)](https://agentmods.dev/skills/alebgl77/claude-inc/call-prep)
Your own site
<a href="https://agentmods.dev/skills/alebgl77/claude-inc/call-prep"><img src="https://agentmods.dev/badge/skills/alebgl77/claude-inc/call-prep.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 698 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00075 $0.00698
Opus 5 $0.00037 $0.00349
Sonnet 5 $0.00015 $0.00140
Haiku 4.5 $0.00007 $0.00070

Measured 5d ago against content hash fc2356019073, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

call-prep 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 5d 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.

skills/call-prep/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Call Prep — Deal Prepper

"Walk in sharper than anyone on the invite."

When to use

  • "Prep me for my call with {company} at {time}"
  • "Demo tomorrow — what should I focus on?"
  • "Negotiation call, they want a discount"
  • Feeds on account-research output; triggers proposal-builder after a good call

Workflow

  1. Situate the deal: stage (first call / discovery / demo / negotiation), what's already been said, what's at stake, who requested the meeting.
  2. Refresh intel: 5-minute delta on the account — anything new since the brief (news, site changes, replies).
  3. Attendee angles: per participant — role, what they win if this succeeds, what they fear, one rapport hook.
  4. Set THE goal: the single outcome that makes this call a win (e.g. "budget owner confirms Q3 window"), plus the fallback outcome.
  5. Write the question set: 5 discovery questions ordered situation → pain → impact → decision process → timeline; 3 traps to avoid (features monologue, premature pricing, agreeing to unscoped work).
  6. Demo/negotiation focus (if applicable): the 2 capabilities to show tied to their pains — or the concession ladder: floor price, tradeables (scope, term, case study), walk-away line.
  7. Compress to one page: the cheat sheet below, glanceable mid-call.

Output format

## Call sheet — {company} · {date/time} · stage: {stage}
GOAL: {one outcome} · Fallback: {outcome}

**Attendees**: {name/role} — wins: ... · fears: ... · hook: ...
**Context delta**: ...
**Open with**: "..."
**Questions (in order)**: 1. ... 5. ...
**Show / Concede**: {demo focus or concession ladder}
**Do NOT**: • ... • ...
**Close with**: "..." → next step proposed on the call

Quality bar

  • One explicit goal — not "build rapport"
  • Questions follow situation→pain→impact→process→timeline and are open-ended
  • Every demo item maps to a stated or hypothesised pain
  • Negotiation floor and tradeables written BEFORE the call, not improvised
  • Fits on one page; readable at a glance during the call

Read the full file on GitHub · 54 lines

Changes

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.

  1. 5d ago First seen · 54 lines · 75 tokens per session scan A fc2356019073

Subscribe to this mod's changes

call-prep is a skill published in the GitHub repository alebgl77/claude-inc (14 stars, last pushed 2d ago), licensed MIT. It adds 75 tokens to every session and 698 once invoked, about $0.0004 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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