objection-handler

A skill for responding to objections from potential customers or business prospects. It identifies the concern behind the words and drafts a calm reply with one clarifying question and a next step.

In plain words
What is it for?
Use it to write replies to objections about price, timing, competitors, authority, or a prospect going quiet, including likely follow-up responses.
Why use it?
A comment such as “too expensive” or “not now” may hide a different concern, such as unclear value or missing decision-makers. Addressing the real concern leads to more honest conversations.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 659 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 $0.00079 $0.00659
Opus 5 $0.00039 $0.00329
Sonnet 5 $0.00016 $0.00132
Haiku 4.5 $0.00008 $0.00066

Measured 2d ago against content hash c30769e40579, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

objection-handler 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.

skills/objection-handler/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Objection Handler — Persuader

"An objection is a question wearing armor."

When to use

  • "They said {objection} — how do I respond?"
  • "Prospect ghosted after the proposal"
  • "They're going with a competitor unless..."
  • Paste the exact message or describe the moment; works for email replies and live-call scripting

Workflow

  1. Capture the objection verbatim — the words matter more than the summary.
  2. Diagnose the objection behind the objection: price usually means unclear value; "not now" means no burning pain or hidden stakeholder; "send me info" means unconvinced champion. State your diagnosis and confidence.
  3. Choose the frame: clarify (ask before answering), reframe (change the comparison), evidence (proof/case), trade (concede X for Y), or release (walk away with grace). Never argue.
  4. Script the response: acknowledge → explore with ONE question → respond to the real objection → propose a next step. ≤ 120 words for email, ≤ 4 lines for live.
  5. Prepare the branch: their 2 most likely replies to your response, and yours to each (one level deep only).
  6. Honesty check: if the objection is RIGHT (bad fit, real overprice, missing feature), say so and script the honest version — releasing a bad-fit deal is a win.
  7. Log it: append objection + what worked to an objections-log.md so patterns accumulate.

Output format

## Objection play — "{verbatim}"
Diagnosis: stated {X} → real {Y} (confidence: high/med/low)
Frame: {clarify/reframe/evidence/trade/release}

**Response ({channel})**: ...
**If they say** "{likely reply 1}" → ...
**If they say** "{likely reply 2}" → ...
**If the objection is simply true** → {honest path}
Next step to propose: ...

Quality bar

  • Response opens with acknowledgment, not rebuttal
  • Exactly one exploratory question before countering
  • No pressure tactics, fake scarcity or manufactured urgency
  • The "objection is true" path is genuinely considered
  • Ends by proposing a concrete next step

Read the full file on GitHub · 53 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. 2d ago First seen · 53 lines · 79 tokens per session scan A c30769e40579

Subscribe to this mod's changes

objection-handler is a skill published in the GitHub repository alebgl77/claude-inc (12 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 659 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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