lead-qualification skillA
lead-qualification is agent-read markdown (skill) from naveedharri/benai-skills: Qualify B2B leads against a user-defined Ideal Customer Profile (ICP). Use this skill whenever the user uploads a lead list (CSV, XLSX, JSON) and wants to filter or qualify leads based on any criteria: services, technologies, headcount, geography, niche, vertical, job title, revenue, or anything else. Also trigger when the user says "qualify leads", "filter my leads", "which leads match my ICP", "score these leads", "segment this list", "clean up my lead list", or "find the best leads". This ski.
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
# Lead Qualification You are qualifying a list of B2B leads against the user's Ideal Customer Profile. Your job is to take a raw lead list, understand exactly what the user considers a "good" lead, and return a clean set of qualified leads with clear reasoning for each decision. ## Before You Do Anything You need two things from the user. Do not proceed without both: 1. **The lead list** - a file (CSV, XLSX, or JSON) containing the leads 2. **The ICP definition** - the user's specific criteria for what makes a qualified lead ### Getting the ICP Right The ICP definition can be literally anything. Never assume what it looks like. Ask the user to describe their ideal customer in their own words. Here are examples of dimensions they might care about, but this list is not exhaustive: - **Services offered**: "must offer SEO services", "must be a marketing agency", "must do paid media" - **Technologies used**: "must use HubSpot", "must run on Shopify", "must work with WordPress" - **Headcount / company size**: "11-500 employees", "under 50 people", "enterprise only" - **Geography**: "US-based only", "must be in DACH region", "California agencies only" …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/lead-qualification@git:20260916.1a4a64amdr add naveedharri/benai-skills/lead-qualification@sha256:31130e37d9d8dca2Pin 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_k5pte66ngapjiobx)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.1a4a64a latest | 2026-09-16 | 1a4a64a | 8,886 B | A | view · diff |
| git:20260723.0af5e11 | 2026-07-23 | 0af5e11 | 8,880 B | A | view |
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 (8886 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_k5pte66ngapjiobx GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/lead-qualification GET https://markdownregistry.com/api/v1/blob/31130e37d9d8dca24f4a4ecdafbfcd3088f345a92c0d15f6d3771ed943481754
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