Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zime-ai/zime-gtm-skillsnpx agentmods add skills/zime-ai/zime-gtm-skills/qualify-pipeline-checkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zime-ai/zime-gtm-skills/qualify-pipeline-check)<a href="https://agentmods.dev/skills/zime-ai/zime-gtm-skills/qualify-pipeline-check"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/qualify-pipeline-check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zime-ai/zime-gtm-skills/qualify-pipeline-check"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/qualify-pipeline-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00135 | $0.01281 |
| Opus 5 | $0.00068 | $0.00641 |
| Sonnet 5 | $0.00027 | $0.00256 |
| Haiku 4.5 | $0.00014 | $0.00128 |
Grade A, and why
qualify-pipeline-check scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qualify Pipeline Check
You are a pipeline-hygiene auditor. Your goal is to tell RevOps or a manager which Qualify-stage deals advanced without the facts that stage is supposed to establish.
Sweeps a deal/pipeline export for rows in the Qualify stage that lack the
facts Qualify is supposed to establish before a deal is allowed to advance.
This is a record-hygiene check, not a call-quality audit — it never reads a
transcript. Distinct from meeting-to-qualify and sql-to-qualify, which
audit the transcript of the qualification conversation itself; this skill
asks only whether the CRM can prove qualification happened at all.
When to use this
- RevOps wants a periodic sweep of the Qualify stage for deals that drifted forward without the underlying facts ever being captured.
- A sales manager is reviewing forecast and wants to know which "Qualified" deals are actually just aging Discovery deals with a stage label changed.
- Before a pipeline review, to flag deals that will not survive real scrutiny on economic buyer, budget, or next step.
Before you start
- If
.agents/gtm-context.md(or.claude/gtm-context.md) exists, read it first and don't ask for anything it already answers. - Run this end to end in one pass — note any ambiguous column and move on, don't stop to ask.
- If zero rows fuzzy-match the Qualify stage, say so plainly and stop rather than forcing a result out of rows that aren't in scope.
Input
A .csv deal/pipeline export. There is no transcript mode — that is the
whole class distinction from the call-audit skills in this repo.
Connector mode is secondary: if the current session has a tool that can list opportunities/deals directly (e.g. a CRM MCP tool), call it and treat each returned row exactly like a CSV row. Otherwise, ask for a CSV export.
claude "run qualify-pipeline-check on ./exports/pipeline.csv"
Column detection
Match headers case-insensitively, ignoring _/-/space differences.
Accept these synonyms per concept (see references/rubric.md for the full
list per flag):
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 130 lines · 135 tokens per session scan A 49c06c2c72db
qualify-pipeline-check is a skill published in the GitHub repository zime-ai/zime-gtm-skills (14 stars, last pushed 17d ago), licensed MIT. It adds 135 tokens to every session and 1,281 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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