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 win-loss-analysisgit 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/win-loss-analysis)<a href="https://agentmods.dev/skills/jbalbu01/sales-enablement-plugin/win-loss-analysis"><img src="https://agentmods.dev/badge/skills/jbalbu01/sales-enablement-plugin/win-loss-analysis.svg" alt="Measured on agentmods" 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 | $0.00116 | $0.03289 |
| Opus 5 | $0.00058 | $0.01644 |
| Sonnet 5 | $0.00023 | $0.00658 |
| Haiku 4.5 | $0.00012 | $0.00329 |
Grade A, and why
win-loss-analysis 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 8d 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 — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Win/Loss Analysis
Turn deal outcomes into actionable insights. Understanding why you win and lose is the fastest way to improve your sales process, coaching, and competitive strategy. This isn't about blame — it's about patterns.
Why This Matters
Most teams track win rate as a number but don't systematically learn from it. Win/loss analysis reveals:
- Which competitors you beat and which beat you (and why)
- What discovery patterns lead to wins vs. losses
- Where deals stall and die in your pipeline
- Which rep behaviors correlate with better outcomes
- How pricing, timing, and stakeholder engagement affect close rates
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ WIN/LOSS ANALYSIS │
├─────────────────────────────────────────────────────────────────┤
│ MODES │
│ 1. Single Deal — Post-mortem on one specific deal │
│ 2. Batch Analysis — Analyze a set of deals from CSV/CRM │
│ 3. Pattern Finder — Identify trends across wins and losses │
│ 4. Competitive Insight — Win/loss rates by competitor │
│ 5. Rep Performance — Analysis by rep (for managers) │
├─────────────────────────────────────────────────────────────────┤
│ INPUT OPTIONS │
│ • Describe a deal and what happened │
│ • Upload a CSV export from your CRM │
│ • Paste deal notes or CRM data │
│ • Connect CRM for automatic data pull │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + ~~CRM: Won/lost deal data with all properties │
│ + ~~CRM: Contact roles and company profiles per deal │
│ + ~~CRM: Stage progression timing and conversion rates │
│ + ~~CRM: Rep performance comparison across deals │
│ + ~~conversation intelligence (Gong): Call transcripts for deals│
│ + ~~conversation intelligence (Gong): Talk ratios and topics │
│ + ~~conversation intelligence (Gong): Competitor mentions │
│ + ~~data enrichment (ZoomInfo): Company data for lost prospects │
│ + ~~data enrichment (LinkedIn): Champion job changes post-loss │
│ + ~~chat: Internal deal discussion and feedback │
└─────────────────────────────────────────────────────────────────┘
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.
- 8d ago First seen · 336 lines · 116 tokens per session scan A 9fc9d0eab1a3
win-loss-analysis is a skill published in the GitHub repository jbalbu01/sales-enablement-plugin (14 stars, last pushed 6mo ago), licensed MIT. It adds 116 tokens to every session and 3,289 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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