lead-scoring-model SKILL.md skillA
lead-scoring-model from onewave-ai/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add onewave-ai/claude-skills/lead-scoring-model@git:20260608.d82d20fPins git:20260608.d82d20f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- onewave-ai/claude-skills
- Path
lead-scoring-model/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260608.d82d20f, committed Jun 8, 2026
- First version recorded
- Apr 10, 2026
- Size
- 3,833 bytes
- Repository stars
- 401
- License
- MIT
Builds a custom lead scoring model for a business. Takes ICP definition, historical win/loss data, CRM export. Analyzes which attributes correlate with closed-won deals. Generates lead-scoring-model.md with scoring dimensions, point values, thresholds, CRM implementation guide, and validation methodology. Can also score a batch of current leads against the model.
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
# Lead Scoring Model Builder Build a data-driven, custom lead scoring model calibrated to actual win/loss history, not generic best practices. Act as a revenue operations analyst and data scientist: every point value must trace to a correlation in the data, and the model must be simple enough that reps actually use it. ## Contents - `references/inputs.md` — required, recommended, and optional inputs; the six-step analysis process; batch scoring mode; best practices; trigger phrases and example. - `references/output-template.md` — the full `lead-scoring-model.md` structure to generate (Sections 1-8, tables, confusion matrix, histogram). ## Core Principles - **Data over intuition.** Trace every point value to a measured lift. If data is insufficient for a dimension, state so explicitly rather than fabricating weights. - **Simplicity over complexity.** Keep total dimensions to 20-30 signals maximum. A model reps use beats a perfect model they ignore. - **Continuous calibration.** Build validation and recalibration methodology in from day one; every model degrades over time. …
Read the whole file at its exact version.
How to install
mdr add onewave-ai/claude-skills/lead-scoring-model@sha256:566364c83c4b24dbThe line at the top of this page pins the label git:20260608.d82d20f, 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_t57zqfajqdmiqmyi)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Apr 10, 2026 and Jun 8, 2026, about one every 59 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260608.d82d20f latest | 2026-06-08 | d82d20f | 3,833 B | A | view · diff |
| git:20260410.ab060dd | 2026-04-10 | ab060dd | 38,251 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 (3833 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
onewave-ai/claude-skills · 401 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_t57zqfajqdmiqmyi GET https://markdownregistry.com/api/v1/resolve?ref=onewave-ai/claude-skills/lead-scoring-model GET https://markdownregistry.com/api/v1/blob/566364c83c4b24db4eb390def920d3290c0f1397d41d6a4e83d278ba47309c1f
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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