Bant
Audits a B2B sales call transcript against the BANT qualification framework (Budget, Authority, Need, Timeline), or sweeps a CRM export for deals missing BANT fields. Use when qualifying an early-stage lead, deciding whether to advance a deal past a first call, or checking a pipeline export for unqualified opportunities.
Install
$ agentstack add skill-zime-ai-zime-gtm-skills-bant ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-zime-ai-zime-gtm-skills-bant) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
BANT Qualification Audit
Audits a sales conversation against the four BANT criteria. Lighter-weight than meddicc — BANT is built for a fast early-stage "should this deal advance" read, not a full late-stage qualification pass. Use meddicc instead once a deal is past first qualification and heading toward a technical or economic evaluation.
When to use this
- A rep just finished a first call and wants a quick advance/no-advance read.
- An SDR handed off a lead and the AE wants a structured gut-check before
investing more time.
- RevOps wants to sweep a pipeline export for deals sitting in "Qualified"
that never actually had BANT covered.
Modes
Transcript mode (.txt, .vtt, .json, .md)
claude "run bant on ./calls/first-call.txt"Read the transcript, then score it against each criterion in references/rubric.md. For every criterion, output:
- Status — Covered / Partial / Missed
- Evidence — a direct quote from the transcript, or mark Unclear
rather than guess
- Note — one line, only if Partial or Missed
Close with a single Advance / Advance with a specific follow-up question / Do not advance yet call, and the one thing that would change your answer.
CSV mode (.csv)
claude "run bant on ./exports/pipeline.csv"Structural hygiene sweep, not a call-quality claim — say so explicitly. For each deal row, check whether fields for Budget, Authority, Need, and Timeline are present and non-trivial. Output a table: deal name, deal value, criteria missing, sorted by deal value descending.
Sample data
assets/sample-transcript.txt is a synthetic first qualification call — run the skill against it first.
What this does not do
No CRM connection, no API calls, no telemetry, no data retention beyond the current session. It reads the file you point it at and nothing else.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zime-ai
- Source: zime-ai/zime-gtm-skills
- License: MIT
- Homepage: https://zime.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.