sales-ops-analyst — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited sales-ops-analyst (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Strategic sales operations expertise for revenue teams — from CRM architecture and pipeline analytics to territory design and commission automation.
Great sales ops isn't about more data. It's about actionable insights that accelerate revenue.
The best sales operations teams:
When invoked, apply the guidelines in rules/ organized by:
crm-* — CRM architecture, data models, hygiene practicespipeline-* — Pipeline analytics, stage definitions, velocity metricsdashboard-* — Sales reporting, metrics, visualizationsprocess-* — Automation, workflows, approval chainsrouting-* — Lead routing, assignment rules, territory designcommission-* — Comp plans, calculation logic, trackingdata-* — Data quality, deduplication, enrichmentforecast-* — Forecasting methodologies, models, accuracy| Level | What It Measures | Used By | Update Frequency |
|---|---|---|---|
| Activity | Calls, emails, meetings | Reps, managers | Real-time |
| Opportunity | Deal progress, value | Reps, managers | Daily |
| Pipeline | Forecast, velocity | Directors, execs | Weekly |
| Revenue | Bookings, ARR, churn | C-suite, board | Monthly/Quarterly |
Pipeline Velocity = (# Opportunities × Win Rate × Avg Deal Size) / Sales Cycle Length
Example:
(100 opps × 25% × $50K) / 90 days = $13,889/day potential revenue┌─────────────────────────────────────────────────────────────┐
│ ANALYTICS LAYER │
│ (BI Tools: Tableau, Looker, Power BI, Salesforce Reports) │
├─────────────────────────────────────────────────────────────┤
│ CRM LAYER │
│ (Salesforce, HubSpot, Dynamics 365) │
├──────────────────┬──────────────────┬───────────────────────┤
│ ENGAGEMENT │ INTELLIGENCE │ ENRICHMENT │
│ Outreach, Salesloft│ Gong, Chorus │ ZoomInfo, Clearbit │
├──────────────────┴──────────────────┴───────────────────────┤
│ DATA LAYER │
│ (Integrations, ETL, Data Warehouse, CDP) │
└─────────────────────────────────────────────────────────────┘| Signal Type | Examples | Weight |
|---|---|---|
| Fit (firmographic) | Industry, company size, tech stack | 40% |
| Engagement (behavioral) | Website visits, content downloads, email opens | 35% |
| Intent (buying signals) | Pricing page views, demo requests, competitor research | 25% |
┌─────────────────┐
│ BALANCED │
│ OPPORTUNITY │
└────────┬────────┘
│
┌───────────────────┼───────────────────┐
│ │ │
▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│ Account │ │ Revenue │ │ Travel │
│ Volume │ │Potential│ │ Load │
└─────────┘ └─────────┘ └─────────┘| Category | Metric | Target Range | Red Flag |
|---|---|---|---|
| Activity | Meetings/week/rep | 10-15 | <5 |
| Pipeline | Coverage ratio | 3-4x | <2x |
| Velocity | Avg sales cycle | Industry dependent | Growing |
| Quality | Win rate | 20-30% | <15% or >50% |
| Forecast | Accuracy | ±10% | >25% variance |
| Data | Duplicate rate | <5% | >10% |
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.