mcp-playbook

mcp-playbook is a skill for Claude Code from crevideo/crevideo-reach. It costs 223 tokens per session (6,786 once invoked), scanned A, original, MIT.

A reference guide for using Crevideo Reach, a service for managing TikTok Shop affiliate outreach. TikTok Shop affiliate outreach means working with creators who promote products for a commission.

In plain words
What is it for?
Use it when finding creators, creating affiliate collaborations, choosing creator tiers, sending outreach, and reading affiliate results.
Why use it?
It explains the service's tools, workflows, filters, identifiers, and reporting details so the right operations are used correctly.

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 when finding creators, creating affiliate collaborations, choosing creator tiers, sending outreach, and reading affiliate results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/crevideo/crevideo-reach/mcp-playbook
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 mcp-playbook
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 mcp-playbook

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/crevideo/crevideo-reach/mcp-playbook"><img src="https://agentmods.dev/badge/skills/crevideo/crevideo-reach/mcp-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 223 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,786 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00223 $0.06786
Opus 5.5 $0.00089 $0.02714
Sonnet 5.5 $0.00045 $0.01357
Haiku 4.5 $0.00022 $0.00679

Measured 4d ago against content hash bffad9a20443, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-playbook scanned grade A with 1 finding 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 4d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **`references/debugging.md`** — the 3-layer (curl readback → wire capture → source read) debugging method, common error→cause table, Copy-flow template requirement, sample-approval radios, and the version-change histor
plugins/crevideo-reach/skills/mcp-playbook/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Crevideo Reach MCP — Playbook

Output language: respond in the merchant's working language — Chinese for China-POP sellers (分级 / 真实抽成 / 触达阶梯 …), English for US sellers (tier / all-in take-rate / outreach waterfall …). Tool names stay identical in both.

The deep-reference layer for the crevideo-reach MCP server. The MCP itself ships a baseline tool-map + typical flow via SERVER_INSTRUCTIONS; this skill covers what that baseline can't — the create flow, non-obvious constraints, and how to debug when behavior diverges from the brands-app UI.

Source of truth: if anything here disagrees with the live tool list in the running session, the live tools win (this doc can lag the MCP version). Only call tools that actually exist in the session; never assume historical or future tools.

When NOT to use

  • Pure MCP-protocol or Claude-skill mechanics questions → wrong skill.
  • Nothing about automations, creators, affiliate analytics, TikTok Shop, or the reach area → don't invoke.

Scope: affiliate (分销)

The MCP exposes affiliate/distribution features. Product onboarding tools are temporarily hidden. Campaign/marketing surfaces (campaign management, /report/* campaign reports, creator marketplace discovery, custom products, brand sampling) are not tools here — say they're out of scope. query_*_performance covers collaboration / affiliate-product / shoppable-video (affiliate), not campaign reports. There is no natural-language→filter and no copy-polish endpoint — you (the LLM) translate the user's words into structured filters yourself, and you write/edit message copy yourself.

Tool map (79 tools, 15 groups)

Many tools fold multiple endpoints behind a view / action / scope / op_type param — pass those to drill in; don't expect one tool per endpoint.

  • Automations (💳 on create): list_automations, get_automation_detail, get_automation_task_results, preview_target_collab (free, 10-min token), create_target_collab, create_dm_automation, create_tc_dm_automation, clone_and_modify_automation, start_automation / pause_automation / delete_automation, update_dm_automation_text, create_bulk_tc_operation, manage_message_templates, get_dm_task_message_template.
  • TC direct entity (no automation wrapper): list_target_collaborations, get_target_collaboration_detail, preview_target_collab_direct, create_target_collab_direct, update_target_collab_direct, cancel_target_collaboration, add_creator_to_target_collaboration. See "TC: two creation paths" below.
  • Open Collaboration (OC): list_open_collaborations, get_open_collaboration_detail, create_open_collaboration, modify_open_collaboration, remove_open_collaboration, manage_open_collaboration_settings (get/edit), manage_open_collaboration_sample_rule (get/edit), remove_creator_from_open_collaboration, list_not_added_open_collaboration_products, get_open_collaboration_product_count, get_open_collaboration_status_counts.
  • Reporting (read-only, 3 tools): query_collaboration_performance (scope: target/open/both), query_product_performance, query_shoppable_video_performance. Product/video breakdown/detail views run on TT-official REAL-TIME data (matches the brand-app page; video adds GPM + daily avg customers, product AOV is derived GMV÷orders); overview/trend stay on legacy aggregates — small drift between the two is expected, explain it rather than "fix" it. Breakdown lists use cursor pagination: pass each returned next_page_token back unchanged as page_token; the legacy page number does not advance them. There is NO query_ai_insight tool — produce insight yourself by reading these three reports.
  • Affiliate orders: list_affiliate_orders (TC dimension — the canonical "我分销卖了多少" answer; target_collaboration_id REQUIRED), list_customer_creator_orders (🚨 naming trap — CA dimension, NOT distribution GMV).
  • Creators: list_affiliate_creators, get_creator_detail, manage_creator_blacklist (list/add/remove/modify), update_creator_metadata, manage_segment, manage_journey, manage_creator_lists, get_creator_list_overview, search_affiliate_creators (filters or creator_keyword to resolve a @handle → user_id), find_similar_creators, recommend_creators (达人罗盘 — backend match-score recommendation by product), list_customer_advocates, manage_customer_advocates (6 actions — collect/collect_history/set_notes/get_detail/list_records/get_overview; no add_tag), manage_contact_enrichment (add_creators is a source switch: manual/filter/list/segment/journey/target_collab).
  • Content: list_affiliate_content (TT-official REAL-TIME published videos — needs shop_cipher, optional date range/account_type/page_token; pass returned next_page_token back as page_token to continue), get_affiliate_content_products, manage_affiliate_content (list/add_notes — legacy row ids; use its ids for notes, not the real-time list's).
  • DM conversations: list_conversations, get_conversation_messages (cursor-paginated, default 20 per page), send_message (real outbound — text, image, text_image_card, or text_products_card; by conversation_id OR unique_id='@handle' which auto-finds/opens the thread; all modes require confirm), search_conversations, create_conversation, list_conversation_groups, list_group_conversations, manage_conversation_groups.
  • Email (10 tools, LIVE): list_email_conversations, get_email_detail, send_email, reply_email, manage_email_templates (CRUD), manage_email_drafts (CRUD), mark_email_as_read, move_emails_to_trash, manage_email_groups (folders — list/create/rename/delete/add/move/remove), manage_email_trash (list/restore/delete_permanently). send_email / reply_email are real outbound — confirm intent first.
  • Samples (申样): manage_sample_auto_approval (get/update rules), manage_sample_applications (list/approve/reject the manual queue).
  • Shop/catalog reads: list_shops, list_products, get_product_detail, list_creator_categories.

Read the full file on GitHub · 193 lines

Files

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.

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. 4d ago Changed · +3 lines bffad9a20443
  2. 1mo ago Changed d18848cf8ad8
  3. 1mo ago Changed · +9 lines 66a30333202d
  4. 1mo ago Changed · -26 lines · -26 tokens per session 7dc17edfd71f
  5. 1mo ago Changed · +23 lines d690817134da
  6. 1mo ago Changed · +45 lines · +30 tokens per session b0d31cbf486a
  7. 2mo ago Changed · +5 lines f188a5416a08
  8. 2mo ago First seen · 134 lines · 219 tokens per session scan A 8576af678859

Subscribe to this mod's changes

mcp-playbook is a skill published in the GitHub repository crevideo/crevideo-reach (10 stars, last pushed 5d ago), licensed MIT. It adds 223 tokens to every session and 6,786 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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