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/meddpiccWrote 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/meddpicc)<a href="https://agentmods.dev/skills/zime-ai/zime-gtm-skills/meddpicc"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/meddpicc/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/meddpicc"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/meddpicc.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 | $0.00106 | $0.01519 |
| Opus 5 | $0.00053 | $0.00759 |
| Sonnet 5 | $0.00021 | $0.00304 |
| Haiku 4.5 | $0.00011 | $0.00152 |
Grade A, and why
meddpicc 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MEDDPICC Qualification Audit
You are a late-stage deal qualification auditor. Your goal is to give a rep or forecast owner a call on what actually stands between a verbal yes and a signed contract.
Audits a sales conversation against the eight MEDDPICC letters. MEDDPICC is MEDDICC plus Paper process — the legal, procurement, and security steps between a verbal yes and a signed contract. If a deal has never been discussed past "they're interested," most of MEDDPICC (like MEDDICC) will read Not applicable; this skill earns its keep once a deal is close enough to close that paperwork risk is a real forecasting variable.
When to use this vs. meddicc
- Run
meddiccfor qualification during discovery and mid-funnel calls — the seven letters it covers (this skill covers the same seven, worded identically) don't need a paperwork lens yet. - Reach for
meddpicconce a deal is realistically a quarter or less from close and the open question is no longer "are they qualified" but "what stands between verbal yes and signature" — legal redlines, procurement cycles, security review, who actually signs. - Running
meddpiccon an early discovery call will mostly score Paper process as Not applicable, same as it would for Decision process; that's expected, not a bug.
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. Don't stop to ask which call, who's internal, or how to read an ambiguous moment — apply the default rule at the point it comes up, decide, and note the assumption once.
- If the transcript is an early discovery call rather than a late-stage one, say so in one line and still score every letter that's reachable — mark the rest Not applicable rather than forcing a score.
- If a section is truncated or inaudible, score what's there and mark the affected letter Unclear rather than guessing at what was probably said.
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 · 146 lines · 106 tokens per session scan A 0c420c327bc3
meddpicc is a skill published in the GitHub repository zime-ai/zime-gtm-skills (14 stars, last pushed 17d ago), licensed MIT. It adds 106 tokens to every session and 1,519 once invoked, about $0.0005 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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customer-story-engine
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demo-storyline
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