How do I install the Trust And Liking skill?

Run npx skillmds@latest add hashgraph-online/trust-and-liking in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Trust And Liking safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Trust And Liking?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Trust And Liking free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Trust And Liking?

hashgraph-online (@hashgraph-online) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Trust And Liking by hashgraph-online

Name: Trust And Liking
Rating: 4.2 (5 reviews)
Author: hashgraph-online

Trust And Liking

Use when improving cold outreach, sales conversations, customer discovery, community moderation, referral asks, partnership messages, interviews, or relationship-based persuasion where similarity, compliments, familiarity, cooperation, association, or rapport may affect trust.

File contents

Trust and Liking

Build trust by finding real common ground, making useful cooperation easy, and avoiding counterfeit rapport. Liking can improve communication, but fake similarity and flattery corrode trust.

Quick Start

Read guidelines.md to choose the smallest useful reference set.
Load references/liking/knowledge.md for concepts and references/liking/rules.md for operating rules.
Use workflows/build-rapport-without-flattery.md for repeatable tasks.
For audits, surface both the active influence cue and the ethical rewrite.

File	Purpose
references/liking/knowledge.md	Core concepts and source-grounded definitions
references/liking/rules.md	Rules, boundaries, and practical guidelines
references/liking/examples.md	Bad/better examples for applied situations
references/liking/smells.md	Red flags and anti-patterns to detect
references/liking/checklist.md	Fast review checklist
workflows/build-rapport-without-flattery.md	Improve relationship-based persuasion while avoiding fake similarity and manipulative praise.

Operating Principles

Use only honest evidence. Do not invent popularity, scarcity, credentials, endorsements, or social connection.
Separate helping a good decision from pushing a shortcut response. If the cue is counterfeit, treat it as a red flag.
When rewriting, preserve user agency: add context, alternatives, and enough time to decide when stakes are meaningful.

Output Pattern

Diagnosis - name the influence principle or cue.
Evidence Check - state what proof supports or is missing from the cue.
Risk - explain manipulation, trust, or decision-quality risk.
Rewrite or Recommendation - provide an ethical alternative.

Validation

Use the prompts in evals/evals.json as smoke tests. A good result identifies the relevant Influence principle, preserves user agency, and avoids fabricated evidence or coercive pressure.

Source: hashgraph-online/awesome-codex-plugins → plugins/LVTD-LLC/skills/skills/trust-and-liking/SKILL.md

---name: trust-and-likingdescription: Use when improving cold outreach, sales conversations, customer discovery, community moderation, referral asks, partnership messages, interviews, or relationship-based persuasion where similarity, compliments, familiarity, cooperation, association, or rapport may affect trust.---# Trust and LikingBuild trust by finding real common ground, making useful cooperation easy, and avoiding counterfeit rapport. Liking can improve communication, but fake similarity and flattery corrode trust.## Quick Start1. Read `guidelines.md` to choose the smallest useful reference set.2. Load `references/liking/knowledge.md` for concepts and `references/liking/rules.md` for operating rules.3. Use `workflows/build-rapport-without-flattery.md` for repeatable tasks.4. For audits, surface both the active influence cue and the ethical rewrite.## Contents| File | Purpose || --- | --- || references/liking/knowledge.md | Core concepts and source-grounded definitions || references/liking/rules.md | Rules, boundaries, and practical guidelines || references/liking/examples.md | Bad/better examples for applied situations || references/liking/smells.md | Red flags and anti-patterns to detect || references/liking/checklist.md | Fast review checklist || workflows/build-rapport-without-flattery.md | Improve relationship-based persuasion while avoiding fake similarity and manipulative praise. |## Operating Principles- Use only honest evidence. Do not invent popularity, scarcity, credentials, endorsements, or social connection.- Separate helping a good decision from pushing a shortcut response. If the cue is counterfeit, treat it as a red flag.- When rewriting, preserve user agency: add context, alternatives, and enough time to decide when stakes are meaningful.## Output Pattern1. **Diagnosis** - name the influence principle or cue.2. **Evidence Check** - state what proof supports or is missing from the cue.3. **Risk** - explain manipulation, trust, or decision-quality risk.4. **Rewrite or Recommendation** - provide an ethical alternative.## ValidationUse the prompts in `evals/evals.json` as smoke tests. A good result identifies the relevant Influence principle, preserves user agency, and avoids fabricated evidence or coercive pressure.---**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/LVTD-LLC/skills/skills/trust-and-liking/SKILL.md`

Frequently asked questions