sales-rep-analyzer skillA
sales-rep-analyzer is agent-read markdown (skill) from naveedharri/benai-skills: Analyze sales call recordings and transcripts to grade rep performance across discovery, demo, objection handling, rapport, and close, each grade backed by verbatim quotes from the full transcript, with coaching on what to improve. Produces evidence-based scorecards and improvement plans, never opinions without quotes. Use when the user says "score my sales call", "analyze my call with [name]", "how did I do on that call", "grade my discovery calls", "sales call scoring", or wants rep performanc.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Sales Rep Performance Analyzer Analyze a sales rep's call recordings alongside CRM data to produce a comprehensive, evidence-backed performance report with grades, real transcript quotes, and actionable coaching recommendations. The output is a single, self-contained HTML dashboard in the BenAI neo-brutalist design system (embedded instant-ui guides), published to a shareable URL. It reads like something a VP of Sales would write after shadowing the rep for a month, grounded in evidence, not generic advice. ## Phase 0: Gather Context Use `AskUserQuestion` before pulling any data. Question scripts and rationale: `references/context-questions.md`. Combine into 2-3 calls (max 4 questions per call): 1. **Round 1, business context**: the business/ICP/sales-qualified meeting, and the rep + their targets. 2. **Round 2, data sources and scope**: which calls to analyze (all / date range / specific), and how to determine won vs. lost deals (user-provided, CRM cross-check, or both). 3. **Round 3, scoring and CRM**: scoring framework (BANT, MEDDIC, custom, or default), and which CRM to cross-reference. …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/sales-rep-analyzer@git:20260723.0af5e11mdr add naveedharri/benai-skills/sales-rep-analyzer@sha256:a5602a7572e8a7e9Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_57vs5spggpaaeg4o)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6231 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_57vs5spggpaaeg4o GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/sales-rep-analyzer GET https://markdownregistry.com/api/v1/blob/a5602a7572e8a7e997f11483029466dfadffd8c8450308246d8d4debd3f40f95
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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