Install
$ agentstack add skill-zime-ai-zime-gtm-skills-end-client-registration ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
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
End-Client Registration Audit
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.
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.
Output one markdown table, flagged registrations first, ordered by most flags first:
| Registration | Flags | Evidence | Suggested action |
Every flag cites the column name and the actual cell value that triggered it (e.g. conflict_check_done = (empty) or end_client_name = partner name repeated). A flag with no cited cell does not ship.
Close with two lines:
N of M registrations flagged- The single most common flag across the flagged registrations
Transcript mode (.txt, .vtt, .json, .md)
claude "run end-client-registration on ./calls/registration-review.txt"
Read the transcript of a partner registration-review call, then score it against each dimension in references/rubric.md. For every dimension:
- 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 Approve / Approve pending the listed follow-ups / Do not approve yet call, and the one thing that would change your answer.
Sample data
assets/sample-registrations.csv is a synthetic registration export with 8 rows — several deliberately triggering flags (a conflated partner/end-client entity, a missing conflict check, an unconfirmed contact, missing commercial terms, no expiry, a real conflict with an existing house opportunity) and at least one genuinely clean registration. Run against it first. assets/sample-transcript.txt is a synthetic partner registration-review call for transcript mode.
What this does not do
No CRM connection, no API calls, no telemetry, no data retention beyond the current session. It reads the file(s) 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.