lead-scoring SKILL.md skillA
lead-scoring from ekos-labs/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ekos-labs/skills/lead-scoring@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ekos-labs/skills
- Path
skills/lead-scoring/SKILL.md- Versions recorded
- 2
- Latest version
- v0.1.0, committed Oct 15, 2026
- First version recorded
- Oct 15, 2026
- Size
- 2,333 bytes
- Repository stars
- 6
- License
- MIT
Score a lead list against the ideal customer profile and recent signals, write the reason next to every score, and flag rows that look like bad data. Use before outreach to decide who to contact first, or to clean up an exported list.
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 Score any lead list on fit and timing, with a reason per row the user can disagree with. Execution mode: agent-native. Works on the CSV the user provides. No API key needed. Example request: "Score this list of 300 leads for our HR software. Who should I email first?" ## Inputs - A lead CSV. Map its columns and show the mapping. - `product-context.md` or an ICP description. If neither exists, ask four questions: industry, company size, buyer role, region. ## Method 1. Write the scoring rubric before scoring and show it: fit criteria with points (role, seniority, company size, industry, region, technology) and timing criteria (signals present in the data, like recent funding or hiring). Total 100. Let the user adjust weights. 2. Score each row. Use only data in the row or in public facts the user has already gathered; do not look up new data in this skill. 3. Write a one-line reason per row naming the criteria that drove the score. 4. Flag bad data: missing company, generic emails for person rows, mismatched domain and company, duplicates, roles that cannot buy. 5. Sort and bucket: A (contact now), B (nurture), C (skip). ## Output …
Read the whole file at its exact version.
How to install
mdr add ekos-labs/skills/lead-scoring@sha256:2cea31560d6b30a9The line at the top of this page pins the label v0.1.0, 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_sget7lbxo5jatywp)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Oct 15, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-15 | a4755e4 | 2,333 B | A | view · diff |
| v0.1.0 | 2026-10-15 | f8e228e | 1,797 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 (2333 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
ekos-labs/skills · 6 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sget7lbxo5jatywp GET https://markdownregistry.com/api/v1/resolve?ref=ekos-labs/skills/lead-scoring GET https://markdownregistry.com/api/v1/blob/2cea31560d6b30a955777f563231b371669016ab221eec4b9549d9fe1ecb1f7f
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.
More from ekos-labs/skills
Every file in ekos-labs/skills