creator-tier-resolver

creator-tier-resolver is a skill for Claude Code from crevideo/crevideo-reach. It costs 108 tokens per session (1,011 once invoked), scanned A, original, MIT.

A rule-based guide for placing a TikTok Shop creator into an affiliate collaboration tier and checking whether they qualify to move up. A creator is someone who promotes products to an audience.

In plain words
What is it for?
Use it to assign Open, T1, T2, or T3/VIP status, check graduation from Open to a target tier, and set creator priority.
Why use it?
It separates tier decisions from creator scoring, commission checks, and outreach writing, reducing confusion about what should happen next.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the crevideo-reach plugin — 9 skills, 1 MCP server shipped together

Good fit Use it to assign Open, T1, T2, or T3/VIP status, check graduation from Open to a target tier, and set creator priority.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/crevideo/crevideo-reach/creator-tier-resolver
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add crevideo/crevideo-reach --skill creator-tier-resolver
Clone the repo
git clone --depth 1 https://github.com/crevideo/crevideo-reach

Made for: Claude Code.

Or install crevideo-reach, the plugin that ships this one along with the rest of its 9 skills, 1 MCP server.

Wrote 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.

agentmods badge for creator-tier-resolver

README.md
[![agentmods](https://agentmods.dev/badge/skills/crevideo/crevideo-reach/creator-tier-resolver/github.svg)](https://agentmods.dev/skills/crevideo/crevideo-reach/creator-tier-resolver)
Your own site
<a href="https://agentmods.dev/skills/crevideo/crevideo-reach/creator-tier-resolver"><img src="https://agentmods.dev/badge/skills/crevideo/crevideo-reach/creator-tier-resolver/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.

agentmods 80×15 button for creator-tier-resolver

Your own site · 80×15
<a href="https://agentmods.dev/skills/crevideo/crevideo-reach/creator-tier-resolver"><img src="https://agentmods.dev/badge/skills/crevideo/crevideo-reach/creator-tier-resolver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,011 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00108 $0.01011
Opus 5 $0.00054 $0.00505
Sonnet 5 $0.00022 $0.00202
Haiku 4.5 $0.00011 $0.00101

Measured 11d ago against content hash 386796d2e8bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

creator-tier-resolver 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 11d 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.

plugins/crevideo-reach/skills/creator-tier-resolver/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creator Tier Resolver · 达人分级判定

Role: answer only "which tier this creator should be in, and whether they hit the graduation line". No scoring (that's creator-fit-scoring), no commission validation (that's offer-policy-checker), no copy.

Output language

Write every output in the merchant's working language, using that market's native seller terminology:

  • US Local sellers → English: tier / all-in take-rate / outreach waterfall / Target Collaboration / DM / sample / graduation …
  • China POP sellers → 中文: 分级 / 真实抽成 / 触达阶梯 / 定向邀约 / 私信 / 寄样 / 毕业 … Tool names stay identical in both languages. If unsure which market, ask once before producing output.

When to use / not use

  • Use: set a creator's priority tier, judge Open→Target graduation, fix the tier for downstream offer/outreach.
  • Don't use: fit not yet judged (run creator-fit-scoring first).

Inputs

  1. Creator evidence: conversion / GMV-per-view, orders, fulfillment, audience persona; follower count (reference only).
  2. Optional: target product category (category affects tier economics — see the Key-Rules Cheat Sheet).

Steps (in order)

  1. Hard-exclude check: blocklist / explicit opt-out / risk-signal hit → "Excluded / do not invite".
  2. Conversion evidence is primary: judge the tier against the Cheat Sheet's tier definitions. Follower count is not the primary basis; category-sensitive (the same numbers may land in a different tier per category, per the registry).
  3. Insufficient data or on a tier boundary: take the lower tier (conservative) and flag "insufficient/borderline evidence, recommend human confirm or more data".
  4. Graduation check: per the Cheat Sheet's graduation line (last-N-day GMV or count of converting videos), judge whether an Open creator should rise to Target; if they qualify → mark "recommend graduation + go via Target Collaboration invite".
  5. Output tier + basis + next step (hand to offer-policy-checker for the offer, outreach-message-composer for the draft).

Read the full file on GitHub · 63 lines

Changes

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.

  1. 11d ago First seen · 63 lines · 108 tokens per session scan A 386796d2e8bf

Subscribe to this mod's changes

creator-tier-resolver is a skill published in the GitHub repository crevideo/crevideo-reach (7 stars, last pushed 3d ago), licensed MIT. It adds 108 tokens to every session and 1,011 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 2026-08-31.

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