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 jpeslar1/john-peslar-ai-skills --skill sales-objection-sortergit clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-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/jpeslar1/john-peslar-ai-skills/sales-objection-sorter)<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/sales-objection-sorter"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/sales-objection-sorter/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/jpeslar1/john-peslar-ai-skills/sales-objection-sorter"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/sales-objection-sorter.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 | $0.00047 | $0.00788 |
| Opus 5.5 | $0.00019 | $0.00315 |
| Sonnet 5.5 | $0.00009 | $0.00158 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
sales-objection-sorter 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 1mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Objection Sorter
Treat objections as information about fit. Help the user understand the buyer's concern and decide whether there is a sensible next step. Do not turn a clear no into a script for pressure.
Read the objection in context
Use the exact wording, preceding exchange, deal stage, offer/price, known constraints, and authority path. Separate what was said from possible interpretations. If the user asks about common objections without a real thread, label the examples hypothetical.
Choose the top three real objections if supplied. Do not invent a buyer's hidden fear and state it as fact. Classify possible causes such as affordability, unclear value, insufficient evidence, competing priorities, wrong scope, or missing approval.
Ask a menu question, then listen
A useful menu offers two or three plausible interpretations and an open escape, without forcing agreement:
- Price: "Is the issue the available budget, uncertainty about the return, or something else?"
- Timing: "Is this waiting on another priority, an approval, or something else?"
- More information: "Would scope, pricing, or how the pilot works be most useful, or is there another question?"
Tailor the options to facts. Ask one question and wait for the answer in live coaching; do not overwhelm the buyer with a full decision tree. In a prepared playbook, show branches clearly as possible future responses.
Map the answer to action:
- Real budget mismatch: narrow scope sustainably or decline.
- Value unclear: clarify the buyer's outcome and evidence without inventing ROI.
- Delivery risk: offer bounded proof or a pilot with measurable acceptance.
- Another approver: understand criteria and propose a joint next step.
- Later priority: use the buyer's actual date or trigger, if they want a revisit.
- Wrong problem, clear refusal, or no acceptable decision path: thank them and close.
Do not use a discount as the automatic answer to every price objection. Do not promise refunds, scope, or timelines the seller has not authorized.
What ships with it
1 file 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.
- 1mo ago First seen · 56 lines · 47 tokens per session scan A 56c4d0f190e1
sales-objection-sorter is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 47 tokens to every session and 788 once invoked, about $0.0002 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 2026-09-09.
sales-objection-sorter compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sales-objection-sorterjpeslar1/john-peslar-ai-skills | Skill | 12 | 18d ago | MIT | A | 47 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |