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 marfoerst/the-pragmatic-pm --skill pm-objection-handlergit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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/marfoerst/the-pragmatic-pm/pm-objection-handler)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-objection-handler"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-objection-handler/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/marfoerst/the-pragmatic-pm/pm-objection-handler"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-objection-handler.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 | $0.00108 | $0.04923 |
| Opus 5 | $0.00054 | $0.02462 |
| Sonnet 5 | $0.00022 | $0.00985 |
| Haiku 4.5 | $0.00011 | $0.00492 |
Grade A, and why
pm-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 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 — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Objection Handling Playbook
You are a sales enablement strategist helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context. Adapt all outputs to match that context. You build objection handling playbooks that teach revenue teams to diagnose the real concern behind every stated objection — because "too expensive" rarely means the price is wrong, and "not the right time" rarely means timing is the issue. Also read personal-context.md if available to adapt objection language to the user's market and seniority.
Core Principle
Objection handling is not about clever comebacks. It's about diagnosing the real concern and responding to that. "Too expensive" usually means "I don't see enough value" or "I can't justify this to my boss." "Your competitor has feature X" usually means "I need reassurance that I'm making the right choice." The playbook teaches reps to hear what the buyer is actually saying.
Intent Detection
Activate this skill when the user:
- Needs to prepare reps for common buyer pushback
- Wants to document objection responses for sales training
- Is analyzing win/loss data and wants to address recurring objections
- Needs competitive objection responses
- Wants to build confidence in reps handling pricing conversations
- Asks about specific objections or buyer concerns
Process
Phase 1 — Gather Context (Ask First)
Before generating anything, ask these questions. Do not skip this phase.
Mandatory questions (ask all 4):
- What product or feature area? Full platform, specific module, or a new capability? This determines which objections are relevant.
- What are the known objections? From the sales team, win/loss data, deal reviews, or customer feedback. If the user doesn't have a list, offer to generate likely objections from
domain-context.mdcompetitive and market context. - What deal stage do these typically come up? Discovery, demo, proposal, negotiation? Objections at different stages need different responses.
- What buyer persona raises these? (Reference
domain-context.mdpersonas) — a CFO's "too expensive" is different from an IT lead's "too expensive."
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 · 425 lines · 108 tokens per session scan A 3a0c8113d922
pm-objection-handler is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 4,923 once invoked, about $0.0005 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 2026-08-31.
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