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 deciqAI/knowledge-skills --skill objection-handlinggit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/objection-handling)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/objection-handling"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/objection-handling/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/deciqai/knowledge-skills/objection-handling"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/objection-handling.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 | $0.00078 | $0.00636 |
| Opus 5 | $0.00039 | $0.00318 |
| Sonnet 5 | $0.00016 | $0.00127 |
| Haiku 4.5 | $0.00008 | $0.00064 |
Grade A, and why
objection-handling 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 9d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Objection Handling — Surface, Understand, Resolve
Overview
Objections are information, not rejection. Most lost deals die not from the stated objection but from an unsurfaced real one (budget authority, risk, status quo). The discipline: draw objections out early, understand the true concern behind the script, and resolve it with evidence — rather than arguing or discounting reflexively.
The Process
- Invite objections early — "what would stop this from being a fit?" Better surfaced in discovery than at close.
- Acknowledge, don't argue — lower defenses first; "makes sense" beats a rebuttal.
- Find the real objection — the stated one is often a proxy. "Too expensive" may mean unclear ROI, wrong authority, or fear of switching. Gate: resolving the surface objection without the real one = the deal still stalls.
- Isolate & confirm — "if we solved that, is there anything else?" so you're not fighting a moving target.
- Resolve with evidence — proof, references, a trial, risk-reversal — matched to the real concern (money, risk, timing, authority).
- Ask for the advance again. Gate: no re-ask = the handled objection is wasted.
Common objections → real concern
- "Too expensive" → ROI not proven / budget elsewhere.
- "Need to think about it" → unspoken risk or missing stakeholder.
- "Send me info" → soft no / not enough urgency (built in discovery).
When to Use
- Recurring stalls at the same stage
- Reflex discounting under pushback
- Founder-led sales where composure under objection matters
Red Flags
- Discounting the moment price is questioned.
- Rebutting instead of understanding.
- Never re-asking for the close after resolving.
Verification
- Objections invited before the close
- Real concern identified behind the stated one
- Objection isolated/confirmed as the last blocker
- Resolved with evidence, then advance re-requested
Part of deciqAI Knowledge Skills — 237 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/s/objection-handling · Built by deciqAI · github.com/deciqAI · Contributions welcome.
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.
- 9d ago First seen · 44 lines · 78 tokens per session scan A b00a41bb96b7
objection-handling is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 78 tokens to every session and 636 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 2026-09-03.
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