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brand-trust-review

brand-trust-review

github.com/sylphxaiMarketing & growth144 installsUpdated today
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About brand-trust-review

A skill for turning brand-trust questions into a structured audit with owners, evidence, metrics, and recovery paths. It helps teams assess claims, proof, pricing, privacy, support, and other customer-facing trust surfaces.

Key features

  1. 01Classify trust surfaces
  2. 02Assess promise and proof alignment
  3. 03Create claim-proof matrices
  4. 04Review pricing, privacy, and support clarity
  5. 05Produce risk and recovery guidance

Use cases

  1. 01Audit trust claims on a product page
  2. 02Review pricing and checkout disclosures
  3. 03Assess privacy promises or AI feature claims

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sylphxai/skills --skill brand-trust-review

After installing, type/brand-trust-reviewin Claude Code to confirm it loaded.

Bundled filesagents/openai.yamlreferences/brand-trust-patterns.md

Details

From the project README

Brand Trust Review

Use this skill to convert a brand trust, proof, claims, privacy promises, pricing clarity, support reputation, and customer confidence question into a concrete artifact with owners, gates, metrics, and recovery paths.

Workflow

  1. Identify audience skepticism, category expectations, risk perception, claim types, proof assets, pricing/checkout trust, and support reputation.
  2. Read references/brand-trust-patterns.md.
  3. Classify trust surface: awareness page, pricing/checkout, onboarding, store listing, privacy/security page, AI feature, marketplace profile, or support flow.
  4. Evaluate promise/proof fit, specificity, reversibility, human support, policy clarity, visual credibility, social proof quality, and failure recovery.
  5. Produce trust audit, claim/proof matrix, decision table, event schema, copy guidance, and risk checklist.

When not to use

  • Do not use for generic advice the base model already handles without this skill's specific artifact contract.

Guardrails

  • Do not invent proof, customer logos, security claims, benchmarks, ratings, guarantees, or compliance status.
  • Do not use vague “trusted by everyone” claims when concrete evidence, risk reducers, and limits are needed.
  • Do not hide pricing, cancellation, privacy, AI limitations, or support constraints behind persuasion copy.
  • Do not optimize trust by adding dark patterns, fake urgency, fake scarcity, or manipulative testimonials.

Output format

Trust context:
Audience skepticism / claim / proof available:

Trust improvement plan:
| Area | Decision | Evidence | Risk | Owner |
| --- | --- | --- | --- | --- |

Claim-proof matrix:
- <item> -> <policy, metric, edge case, support note>

Risk reducers and monitoring:
- <trigger> -> <action, communication, owner>

Comments

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