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 growthack88/growth-marketing-os --skill win-lossgit clone --depth 1 https://github.com/growthack88/growth-marketing-osWrote 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/growthack88/growth-marketing-os/win-loss)<a href="https://agentmods.dev/skills/growthack88/growth-marketing-os/win-loss"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/win-loss/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/growthack88/growth-marketing-os/win-loss"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/win-loss.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 | $0.00100 | $0.02253 |
| Opus 5 | $0.00050 | $0.01126 |
| Sonnet 5 | $0.00020 | $0.00451 |
| Haiku 4.5 | $0.00010 | $0.00225 |
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 13d 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Win/loss analysis
Analyze sales call transcripts to extract actionable insights on why deals are won, lost, retained, or churned. Cross-reference findings with ICP, firmographics, and competitive context to produce strategic recommendations.
Knowledge type: win-loss-analysis
Maturity on first run: emergent → validated after team review
Claude Code triggers
Invoke when user says:
- "Win/loss analysis"
- "Analyze sales calls"
- "Why did we win/lose"
- "Churn analysis"
- "Retention analysis"
- "Sales call insights"
- "Deal outcome patterns"
- "Customer feedback synthesis"
- "Analyze these transcripts"
- "What patterns in our sales calls"
Do NOT invoke when:
- User wants general transcript analysis → use a generic transcript skill
- User wants competitor research → use
competitor-research - User wants a single customer interview write-up → use a transcript skill
- User wants sales enablement assets → use a sales-enablement skill
Input requirements
Required
| Input | Description | Source |
|---|---|---|
| Transcripts | Sales call transcripts with customer name and outcome | User provides |
| Outcome | Win/Loss/Retention/Churn for each call | User specifies or infer |
Optional (improve quality)
| Input | How it helps |
|---|---|
| Website URL per customer | Firmographics cross-reference |
| Product/ICP document | Define in-scope product capabilities |
| Market/GTM document | Positioning and competitive landscape |
| Sales notes column | Additional context (stage, deal size) |
| Competitor names | Pre-identify competitors to watch for |
What ships with it
7 files 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.
- 13d ago First seen · 220 lines · 100 tokens per session scan A ae462665f9b3
win-loss-analysis is a skill published in the GitHub repository growthack88/growth-marketing-os (97 stars, last pushed 2mo ago), licensed MIT. It adds 100 tokens to every session and 2,253 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 2026-08-30.
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