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 jbalbu01/sales-enablement-plugin --skill deal-qualificationgit clone --depth 1 https://github.com/jbalbu01/sales-enablement-pluginWrote 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/jbalbu01/sales-enablement-plugin/deal-qualification)<a href="https://agentmods.dev/skills/jbalbu01/sales-enablement-plugin/deal-qualification"><img src="https://agentmods.dev/badge/skills/jbalbu01/sales-enablement-plugin/deal-qualification/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/jbalbu01/sales-enablement-plugin/deal-qualification"><img src="https://agentmods.dev/badge/skills/jbalbu01/sales-enablement-plugin/deal-qualification.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 | $0.00113 | $0.03602 |
| Opus 5 | $0.00056 | $0.01801 |
| Sonnet 5 | $0.00023 | $0.00720 |
| Haiku 4.5 | $0.00011 | $0.00360 |
Grade A, and why
deal-qualification 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 10d 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 — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deal Qualification
Help reps and managers objectively assess whether a deal is worth pursuing, identify gaps in qualification, and decide where to invest their time. The worst thing in sales is spending months on a deal that was never going to close — qualification prevents that.
Frameworks
MEDDIC (Recommended for Enterprise B2B SaaS)
The gold standard for complex, multi-stakeholder deals:
- M — Metrics: What quantifiable outcomes does the prospect expect?
- E — Economic Buyer: Who has the budget authority and final say?
- D — Decision Criteria: What factors will they use to choose a vendor?
- D — Decision Process: What are the steps, stakeholders, and timeline?
- I — Identify Pain: What specific problem are they solving?
- C — Champion: Who inside the account is actively selling for you?
BANT (Good for Simpler or Faster Sales Cycles)
- B — Budget: Do they have money allocated?
- A — Authority: Are you talking to the decision-maker?
- N — Need: Do they have a real problem you solve?
- T — Timeline: Is there urgency to act?
SPICED (Good for Customer-Centric Selling)
- S — Situation: What's their current state?
- P — Pain: What's broken or missing?
- I — Impact: What happens if they don't fix it?
- C — Critical Event: Is there a forcing function or deadline?
- E — Economic Decision: Who decides and how?
- D — Decision Criteria: How will they evaluate options?
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ DEAL QUALIFICATION │
├─────────────────────────────────────────────────────────────────┤
│ MODES │
│ 1. Score a Deal — Rate a specific opportunity on all criteria │
│ 2. Gap Analysis — Identify what's missing and how to fill it │
│ 3. Go/No-Go — Make a structured decision on whether to pursue │
│ 4. Pipeline Audit — Score multiple deals for prioritization │
├─────────────────────────────────────────────────────────────────┤
│ OUTPUT │
│ • Qualification scorecard with red/yellow/green per criterion │
│ • Gap analysis with specific next actions │
│ • Risk assessment and overall confidence level │
│ • Comparison against ideal deal profile │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + ~~CRM: Deal data, contacts, company, and engagement velocity │
│ + ~~CRM: Stage progression and probability scoring │
│ + ~~conversation intelligence (Gong): Discovery call transcripts│
│ + ~~conversation intelligence (Gong): Champion engagement signals│
│ + ~~conversation intelligence (Gong): Competitor mentions in calls│
│ + ~~data enrichment (ZoomInfo): Company profile validation │
│ + ~~data enrichment (ZoomInfo): Org chart for buying committee │
│ + ~~data enrichment (Clay): Company signals and enrichment │
│ + ~~data enrichment (LinkedIn): Stakeholder backgrounds │
│ + ~~data enrichment (LinkedIn): Champion activity and tenure │
│ + ~~chat: Internal deal discussions and risk flags │
│ + ~~calendar/email: Meeting history and engagement signals │
└─────────────────────────────────────────────────────────────────┘
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.
- 10d ago First seen · 339 lines · 113 tokens per session scan A aec62345f1ab
deal-qualification is a skill published in the GitHub repository jbalbu01/sales-enablement-plugin (14 stars, last pushed 6mo ago), licensed MIT. It adds 113 tokens to every session and 3,602 once invoked, about $0.0006 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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