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Mk 159

ASecurity

Evergreen Trust Asset Classification. Use when you need classification by audience, concern, and stage; apply this method to the specified inputs and verify the deliverable

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  • Added October 23, 2026
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Scanned October 23, 2026

npx -y skills add backtrue/thinkwithblack-skill --skill mk-159 --agent claude-code

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SKILL.md
---
name: mk-159
description: "Evergreen Trust Asset Classification. Use when you need classification by audience, concern, and stage; apply this method to the specified inputs and verify the deliverable"
---

# MK-159|Evergreen Trust Asset Classification

For a regular chat, upload `packs/mk-159.md`; it includes the shared rules, this method, and required references

## Purpose

This Skill delivers: **Classification by audience, concern, and stage**

Use actual tools and current official specifications to establish platform options and placement availability; old course screenshots do not establish current capabilities

## Required Inputs

Asset IDs, original files, and source dates; known audiences, specific concerns, journey stages, and evidence for each classification; supported claims and conditions; licensed channels, formats, and term. Mark classifications without supporting evidence as unconfirmed

## Method Steps

1. Classify evergreen trust assets into user testimonials, third-party reviews/KOL KOC, professional authorities, customer service Q&A, and similar types
2. Preserve each asset's source and permission status so remarketing can select it for different concerns
3. User testimonials and celebrity/authority endorsements are not mutually exclusive; test them in parallel according to the product's trust needs
4. For each asset, record audience, specific concern answered, and journey stage in addition to content type, with a basis for each tag; unsupported tags remain unconfirmed instead of being inferred from tone
5. Retain the original asset, source date, supported claim, and licensed channels, formats, and term so a concern maps to usable evidence; update availability when rights expire or facts or conditions change

## Calculation and Interpretation

Use only authentic reviews and third-party content with usage rights; do not fabricate reviews, endorsements, or engagement

## Required Output Fields

| Order | Field | How to complete |
|---:|---|---|
| 1 | Asset ID, original file, and type | Use the supplied source, calculation, or explicit unknown |
| 2 | Source and date | Use the supplied source, calculation, or explicit unknown |
| 3 | Audience, concern, and classification basis | Use the supplied source, calculation, or explicit unknown |
| 4 | Journey stage and conditions | Use the supplied source, calculation, or explicit unknown |
| 5 | Supported claim and evidence scope | Use the supplied source, calculation, or explicit unknown |
| 6 | Licensed channels, formats, term, and status | Use the supplied source, calculation, or explicit unknown |
| 7 | Usable placement and asset version | Use the supplied source, calculation, or explicit unknown |
| 8 | Unconfirmed tags and refresh work | Use the supplied source, calculation, or explicit unknown |

## Verification Cases

**MK-159-C05|One record meets opposing conditions**

Expected: mark contradictory or pending judgment; do not arbitrarily assign the most common category

## Method Sources

Original file: Meta廣告學程 102 為什麼這些人不買

Source location: Testimonials

Source basis: Derived from course material

Original URL: https://docs.google.com/presentation/d/1VZM1BFp_CiefpdHFrSRKIDim5oOKHh52w6D5RUXi-Nc/edit

English translation of source excerpt retained in the master table:

> Creative B1: People who viewed but did not add to cart may simply not have bought (use limited-time/limited-quantity copy) or may distrust the brand (use third-party testimonial/review copy)

Files in this skill

  • SKILL.md3.4 KB
  • assets/check-context.py14.6 KB
  • assets/context-contract.json19.1 KB

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