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 koinod/koino-skills --skill rep-performance-trackergit clone --depth 1 https://github.com/koinod/koino-skillsWrote 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/koinod/koino-skills/rep-performance-tracker)<a href="https://agentmods.dev/skills/koinod/koino-skills/rep-performance-tracker"><img src="https://agentmods.dev/badge/skills/koinod/koino-skills/rep-performance-tracker/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/koinod/koino-skills/rep-performance-tracker"><img src="https://agentmods.dev/badge/skills/koinod/koino-skills/rep-performance-tracker.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 | $0.01742 |
| Opus 5.5 | $0.00000 | $0.00697 |
| Sonnet 5.5 | $0.00000 | $0.00348 |
| Haiku 4.5 | $0.00000 | $0.00174 |
Grade A, and why
rep-performance-tracker 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 1mo 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rep Performance Tracker
Track sales rep metrics: calls, close rate, pipeline value, and churn risk scoring.
Description
Rep Performance Tracker turns raw sales activity data into actionable performance dashboards. It calculates close rates, pipeline velocity, activity ratios, and flags reps at risk of churning or underperforming — before it shows up in revenue. Works for solo operators tracking their own metrics or managers overseeing a team.
Activation
This skill activates when:
- The user wants to track or analyze sales performance metrics
- The user provides sales activity data (calls, closes, pipeline)
- The user asks about close rates, conversion rates, or sales efficiency
- The user mentions rep performance, sales leaderboard, or activity tracking
Trigger phrases: "track my sales", "close rate", "rep performance", "sales metrics", "pipeline velocity", "how am I doing", "sales dashboard", "conversion rate", "activity report"
Core Metrics
Activity Metrics (Leading Indicators)
| Metric | Formula | Benchmark |
|---|---|---|
| Calls/Day | Total calls / days worked | 25-50 (outbound), 10-20 (closing) |
| Emails Sent/Day | Total emails / days worked | 30-60 (SDR), 10-20 (AE) |
| Meetings Booked/Week | Meetings scheduled per week | 5-10 (SDR), 8-15 (AE) |
| Talk Time/Day | Minutes on calls per day | 120-180 min (outbound) |
| Activity Score | Weighted sum of all activities | 0-100 scale |
Conversion Metrics (Process Indicators)
| Metric | Formula | Benchmark |
|---|---|---|
| Lead → Meeting | Meetings / leads contacted | 5-15% (cold), 20-40% (inbound) |
| Meeting → Proposal | Proposals / meetings held | 40-60% |
| Proposal → Close | Closes / proposals sent | 25-40% |
| Full Funnel | Closes / total leads | 2-5% (cold), 10-20% (inbound) |
| Speed to Lead | Avg minutes to first response | <5 min = best in class |
Revenue Metrics (Lagging Indicators)
| Metric | Formula | Benchmark |
|---|---|---|
| Revenue/Month | Total closed revenue | Role-dependent |
| Avg Deal Size | Revenue / deals closed | Industry-dependent |
| Pipeline Value | Sum of weighted opportunities | 3-5x monthly quota |
| Pipeline Velocity | (Deals x Win% x Avg Size) / Cycle Days | Higher = better |
| Revenue per Activity | Revenue / total activities | Efficiency measure |
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.
- 1mo ago First seen · 151 lines · 0 tokens per session scan A c2e19b9a2270
rep-performance-tracker is a skill published in the GitHub repository koinod/koino-skills (8 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,742 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 2026-08-31.
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