lead-scoring-model SKILL.md skillA
lead-scoring-model from prosyo-ai/gtm-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add prosyo-ai/gtm-skill/lead-scoring-model@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- prosyo-ai/gtm-skill
- Path
plugin/skills/lead-scoring-model/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Oct 23, 2026
- Size
- 3,932 bytes
- Repository stars
- 13
- License
- MIT
Use this skill when you need a lead scoring model that sales trusts: inbound leads pile up unworked, marketing and sales argue about MQL quality, or reps chase the wrong leads first. Designs a two-axis model (fit and engagement) from your won and lost data, sets point values and decay, defines the handoff threshold and the SLA, and includes the test that proves the model works. Produces a documented scoring model ready to configure in any CRM or marketing system.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
Use this when the question is "which leads should sales call first?". It produces a scoring model with point tables, a threshold and a validation test, documented well enough that anyone can configure it. ## Inputs - 6 to 12 months of leads with outcome: became an opportunity, won, or went nowhere. - Firmographic and role data on each lead. - Engagement events: form fills, page visits, email replies, event attendance, product sign-ups. - Sales capacity: how many leads a week the team can work properly. ## The play ### 1. Two axes, never one - **Fit** (who they are): role, company size, industry, region, stack. Changes rarely. - **Engagement** (what they did): actions, weighted by intent, decaying over time. A single blended number lets a student who downloads ten ebooks outrank a VP who visited pricing once. ### 2. Derive points from data For each attribute and action, compare the opportunity rate of leads that have it with the base rate. Points roughly follow the lift: an action with 4x the base opportunity rate earns about twice the points of one with 2x. Read [references/scoring-tables.md](references/scoring-tables.md) for starter tables and the lift method. …
Read the whole file at its exact version.
How to install
mdr add prosyo-ai/gtm-skill/lead-scoring-model@sha256:2a176adbee2985edThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_sjnmeg4xbbdmh6uu)
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Versions
The registry has recorded 1 version of this file, committed on Oct 23, 2026.
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 (3932 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
prosyo-ai/gtm-skill · 13 stars · license MIT · pushed 2026-10-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sjnmeg4xbbdmh6uu GET https://markdownregistry.com/api/v1/resolve?ref=prosyo-ai/gtm-skill/lead-scoring-model GET https://markdownregistry.com/api/v1/blob/2a176adbee2985edc3d25fe0097f1179b3f89e996d5a17a2d162848d73d0322e
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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