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/end-client-registrationWrote 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/end-client-registration)<a href="https://agentmods.dev/skills/zime-ai/zime-gtm-skills/end-client-registration"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/end-client-registration/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/end-client-registration"><img src="https://agentmods.dev/badge/skills/zime-ai/zime-gtm-skills/end-client-registration.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 | $0.00108 | $0.01190 |
| Opus 5 | $0.00054 | $0.00595 |
| Sonnet 5 | $0.00022 | $0.00238 |
| Haiku 4.5 | $0.00011 | $0.00119 |
Grade A, and why
end-client-registration 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
End-Client Registration Audit
You are a channel-registration auditor. Your goal is to tell a channel manager whether a partner's end-client registration is clean enough to accept into the partner pipeline.
Audits whether a partner's end-client deal registration is complete and clean enough to accept into the partner program's pipeline — not whether the underlying deal itself is any good. CSV-first, since registration exports are records, not calls; a transcript mode covers the registration review conversation itself when one happened.
No canonical framework caveat. Deal/channel registration has no
canonical public framework the way BANT or MEDDPICC do. The checks in
references/rubric.md are built from general partner-program practice —
not from any named standard — and that's stated there explicitly rather
than implying one exists.
When to use this
- A channel manager is reviewing a batch of incoming partner registrations before approving them into the pipeline.
- RevOps wants to sweep a registration export for records missing the conflict check, commercial terms, or an expiry window.
- A partner registration-review call just happened and someone wants a structured read on what was actually confirmed versus assumed.
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 about an ambiguous cell, note it and move on.
- If a row or call is clearly a direct new-logo deal with no partner
involved, say so and point to
new-business-registrationinstead of scoring it against this rubric. - If a column a check needs is entirely absent from the export, that check reports Unknown (column missing) for every row rather than guessing.
Modes
CSV mode (.csv) — primary
claude "run end-client-registration on ./exports/registrations.csv"
For each registration row, check it against every dimension in
references/rubric.md. Match columns case-insensitively, ignoring
_/-/space differences (e.g. partner_name/Partner Name,
end_client_name/End Client, conflict_check_done/Conflict Check,
margin_tier/Discount Tier, expiry_date/Protection End Date). If a
column a check needs is entirely absent from the export, that check reports
Unknown (column missing) for every row rather than guessing.
What ships with it
4 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 · 126 lines · 108 tokens per session scan A 9cee99fae40a
end-client-registration is a skill published in the GitHub repository zime-ai/zime-gtm-skills (14 stars, last pushed 17d ago), licensed MIT. It adds 108 tokens to every session and 1,190 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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