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earn-trust

Plan how to earn customer trust and appropriate access. Use when credibility, permissions or AI policy constrain the engagement.

Published by suboss87 ↗suboss87/FDEOps

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earn-trust

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Use earn-trust to create a plan for access, credibility and permitted AI use based on [current task context, known stakeholder evidence, and any existing trust constraints]. The result should be a draft `trust-profile.md` identifying the minimum access needed for the next task, the current AI policy status (prohibited, permitted-with-review, or grey-area), and the corresponding authorization sources.

Required inputs

[current task context, known stakeholder evidence, and any existing trust constraints]

User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗

SKILL.md

name: earn-trustdescription: Plan how to earn customer trust and appropriate access. Use when credibility, permissions or AI policy constrain the engagement.

earn-trust

Purpose

A plan for access, credibility and permitted AI use.

Before investigating or acting:

Read the task context contract.
Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.