What is objections-prep?

A preparation workflow for predicting sales objections and drafting ways to answer or reframe them.

Use it to prepare for negotiation calls, handle competitor-related concerns, and tailor responses to a buyer’s role, deal stage and likely reason for hesitation.

It lets a sales team prepare for concerns using previous objections, stalled deals and successful responses instead of improvising during negotiations.

objections-prep — Skill for Claude Code by taizen-ai

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.

Any agent

npx skills add taizen-ai/taizen-claude-plugins --skill objections-prep

Clone the repo

git clone --depth 1 https://github.com/taizen-ai/taizen-claude-plugins

Made for: Claude Code.

Or install taizen-gtm-skills, the plugin that ships this one along with the rest of its 30 skills, 21 MCP servers.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/objections-prep/github.svg)](https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/objections-prep)

Your own site

<a href="https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/objections-prep"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/objections-prep/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/objections-prep"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/objections-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,283 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00029	$0.03283
Opus 5.5	$0.00012	$0.01313
Sonnet 5.5	$0.00006	$0.00657
Haiku 4.5	$0.00003	$0.00328

Measured 2mo ago against content hash d308b0857e69, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

objections-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 2mo 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.

plugins/taizen-gtm-skills/skills/objections-prep/SKILL.md · 496 lines

How it starts

The opening of the file, as written. The whole thing — 496 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Objections Prep Skill

Anticipate and prepare responses for common and deal-specific objections.

Purpose

Equip sales teams with confident, effective responses to objections that advance the deal rather than stall it.

Required Integrations

Setup: Connect these data sources to enable full functionality. Claude will prompt you to connect any missing integrations when you use this skill.

Data Sources

# OBJECTION HANDLING DATA SOURCES
# Configure the sources relevant to your objection preparation

# Enterprise Search (searches across all internal sources)
- source: enterprise_search
  connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
  data:
    - internal_docs
    - wiki_content
    - shared_drives
    - slack_history

# Call Recording & Objection Patterns
- source: call_recordings
  connector: "{{GONG | CHORUS | CLARI}}"
  data:
    - objection_tracking
    - successful_responses
    - failed_responses
    - objection_by_competitor
    - objection_by_persona
    - objection_by_deal_stage

# CRM Deal Data
- source: crm
  connector: "{{SALESFORCE | HUBSPOT}}"
  data:
    - lost_deal_reasons
    - stalled_deal_notes
    - competitive_fields
    - deal_stage_notes

# Competitive Intelligence
- source: competitive_intel
  connector: "{{KLUE | CRAYON | KOMPYTE}}"
  data:
    - competitor_objections
    - win_loss_by_competitor
    - competitive_responses
- source: review_sites
  sources:
    - g2
    - capterra
    - trustradius
  data:
    - competitor_weaknesses
    - our_criticisms

# Internal Knowledge
- source: internal_docs
  connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION | CONFLUENCE}}"
  paths:
    - "/Sales Enablement/Objection Handling/"
    - "/Sales/Battlecards/"
    - "/Product/FAQ/"
- source: sales_content
  connector: "{{SEISMIC | HIGHSPOT | SHOWPAD}}"
  data:
    - objection_handling_guides
    - competitive_content

# Pricing & Packaging
- source: pricing_docs
  connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
  paths:
    - "/Sales/Pricing/"
    - "/Finance/Discount Guidelines/"

# Customer Proof Points
- source: customer_stories
  connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
  paths:
    - "/Marketing/Case Studies/"
    - "/Customer Success/Win Stories/"

Read the full file on GitHub · 496 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.

2mo ago First seen · 496 lines · 29 tokens per session scan A d308b0857e69

Subscribe to this mod's changes

objections-prep is a skill published in the GitHub repository taizen-ai/taizen-claude-plugins (8 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 3,283 once invoked, about $0.0001 per session on Opus 5.5. 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.

Marketing and SEO

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