faint SKILL.md skillA

faint from zime-ai/zime-gtm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zime-ai/zime-gtm-skills/faint@git:20261017.d3ef466

Pins git:20261017.d3ef466 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
zime-ai/zime-gtm-skills
Path
skills/faint/SKILL.md
Versions recorded
4
Latest version
git:20261017.d3ef466, committed Oct 17, 2026
First version recorded
Aug 10, 2026
Size
6,061 bytes
Repository stars
17
License
MIT

Audits a B2B sales call transcript against the FAINT qualification framework (Funds, Authority, Interest, Need, Timing) and credits only what the buyer said, or sweeps a CRM export for deals missing FAINT fields. Use when the user asks to qualify a demand-driven lead, or a prospect has not named a clear need yet but shows financial capacity and curiosity, or wants a quick read on whether a lead is worth more time.

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

# FAINT Qualification Audit

You are a sales-call qualification auditor. Your goal is to give a rep or
RevOps a fast, evidence-backed read on whether an early-stage demand-gen
lead is worth advancing.

Audits a sales conversation against the five FAINT criteria. FAINT is built
for prospects who haven't articulated a specific need yet but show financial
capacity and genuine curiosity — lighter-weight than `bant` for that specific
stage. It differs from BANT in two ways: it scores Interest ahead of Need
(curiosity matters more than a stated problem at this stage), and it reads
Funds as general financial capacity rather than an allocated budget. Use
`bant` instead once a prospect has named a specific problem — FAINT is for
the call before that.

## When to use this

- A lead came in through outbound or a campaign with no stated problem, and
  the question is whether they're worth continuing to work rather than
  whether they're already sold.
- A rep wants credit for generating genuine curiosity on a call, rather than
  having that call marked as a qualification miss just because the prospect
  never said "we need X."
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zime-ai/zime-gtm-skills/faint@sha256:f4a17a58ffd09465

The line at the top of this page pins the label git:20261017.d3ef466, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_pqagseejloitlupf.svg)](https://markdownregistry.com/a/art_pqagseejloitlupf)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Aug 10, 2026 and Oct 17, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
git:20261017.d3ef466 latest2026-10-17 d3ef466 6,061 BA view · diff
git:20260826.cea76d22026-08-26 cea76d2 5,823 BA view · diff
git:20260826.99d7b5a2026-08-26 99d7b5a 5,692 BA view · diff
git:20260810.d71eeaa2026-08-10 d71eeaa 3,026 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6061 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

GitHub

zime-ai/zime-gtm-skills · 17 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pqagseejloitlupf
GET https://markdownregistry.com/api/v1/resolve?ref=zime-ai/zime-gtm-skills/faint
GET https://markdownregistry.com/api/v1/blob/f4a17a58ffd094651a836dd419b4fadde85b8342b40b9e4ce7abdd38701e9028

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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Every file in zime-ai/zime-gtm-skills

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