Borrowing it
Nothing to install: this file belongs to eduardocornelsen/full-funnel-ai-analytics. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/eduardocornelsen/full-funnel-ai-analytics/main/.claude/commands/pipeline.mdgit clone --depth 1 https://github.com/eduardocornelsen/full-funnel-ai-analyticsWrote 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/commands/eduardocornelsen/full-funnel-ai-analytics/pipeline)<a href="https://agentmods.dev/commands/eduardocornelsen/full-funnel-ai-analytics/pipeline"><img src="https://agentmods.dev/badge/commands/eduardocornelsen/full-funnel-ai-analytics/pipeline/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/commands/eduardocornelsen/full-funnel-ai-analytics/pipeline"><img src="https://agentmods.dev/badge/commands/eduardocornelsen/full-funnel-ai-analytics/pipeline.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 | $0.00000 | $0.00598 |
| Opus 5 | $0.00000 | $0.00299 |
| Sonnet 5 | $0.00000 | $0.00120 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
pipeline 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 12d 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 — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data sourcing (mandatory)
Read dashboards/golden_metrics.json → all_time.crm (HubSpot + Salesforce) and copy exact values — never recalculate (CLAUDE.md §14).
- All CRM figures are lifetime — label every KPI
CRM all-time(§2); never mix with 90-day attributed revenue (§3). - Win rate = closed_won / (closed_won + closed_lost) (§1).
- Freshness badge in the header:
Data as of _meta.generated_at · CRM all-time scope.
Live MCP variant — only if the user appends -mcp or asks for "live" / "real-time" / "raw platform" data: query the hubspot, salesforce MCP servers instead, passing dates from _meta.window_start / _meta.window_end, add the badge ⚡ Live MCP — may differ from golden layer, and use dashboards/js/metrics.js canonical formulas for any computed metric.
Artifact
Build a sales pipeline React artifact using Recharts.
Design: dark theme (#0d0d1a bg, #1a1a2e cards), green #34d399, blue #60a5fa, amber #fbbf24, coral #f87171.
Include these 7 sections:
- Pipeline KPI cards — Total Pipeline Value, Avg Deal Size, Win Rate, Deals in Progress, Forecasted Revenue
- Stage progression funnel — horizontal funnel chart showing deal count and value at each stage (HubSpot + Salesforce merged)
- Revenue by lead source — horizontal bar chart from Salesforce closed-won data
- Velocity gauge — a simple visual showing average days in pipeline vs target (use a progress arc)
- Deal age heatmap — table of stages vs age buckets (0-30d, 31-60d, 61-90d, 90d+) with color intensity
- Contacts by lifecycle — donut chart of HubSpot lifecycle stages
- AI Insights panel — a dark card at the bottom with a "✦ AI Insights" header containing 4–5 bullet points synthesized across HubSpot and Salesforce data. Each bullet must be specific, quantified, and actionable. Cover: (a) the stage with the biggest conversion drop-off and what it signals about the sales process, (b) pipeline velocity vs target — whether the team is on track and what is causing lag if not, (c) the lead source generating the highest-value closed-won deals and whether it is being prioritized, (d) any deal age concentration risk (large value stuck in late stages for too long), (e) a forecast accuracy observation — how weighted pipeline compares to closed-won run rate. Write in plain English as if briefing a sales leader or VP of Revenue.
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.
- 12d ago First seen · 26 lines · 0 tokens per session scan A ef5693fc93ea
pipeline is a command published in the GitHub repository eduardocornelsen/full-funnel-ai-analytics (21 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 598 tokens. 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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diff-script
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