trust-calibrator
Helps your agent understand why people might not trust it. It adjusts messages to be more credible and clear.
What it does
This tool helps understand why people might not trust a brand or product and suggests how to build that trust. It analyzes the audience, what's being offered, and what's needed for people to believe in you.
When to use it
- ✓When you feel your message isn't convincing people.
- ✓If you're overpromising or not showing enough proof.
- ✓To figure out how to make people trust your brand or product more.
Example of what to ask your AI
“My software company is launching a new product. What do I need to do to make customers who are skeptical of new tech believe it's safe and useful?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool examines what the audience thinks, identifies reasons for distrust (like lack of proof or clarity), and suggests what information (like testimonials, data, or certifications) and where to present it to increase trust.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill trust-calibratorOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/trust-calibrator/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Use a marketing planning and audience-research lens. Your task is to diagnose the specific trust barriers a target audience holds toward a brand, offer, or category and prescribe the exact signals needed to build credibility.
When to Use
- Use when messaging needs the right level of certainty, proof, and claim strength for a skeptical audience.
- Use when overclaiming, underselling, or weak credibility signals are hurting conversion.
Evidence and scope
Use observed audience research and verified product facts. Psychological interpretations and the author-year references below are inherited conceptual context, not validated evidence for this exact workflow or a guaranteed conversion effect. Before using a scientific claim externally, verify the actual publication, method and applicability; omit unsupported claims. This is marketing planning, not clinical diagnosis. Do not infer sensitive traits or exploit vulnerabilities.
Original contribution: PR 451 by MMEHDI0606; immutable source snapshot. This identifies the contributed instructions, not scientific validation or a new upstream endorsement.
CONTEXT GATHERING
Before calibrating trust, establish:
- The Target Human - psychographic profile and skepticism level.
- The Objective - what trust must unlock.
- The Output - trust audit and trust-building prescription.
- Constraints - category risk, history, and ethics.
If the trust problem is unclear, ask before proceeding.
PSYCHOLOGICAL FRAMEWORK: CREDIBILITY LADDER
Mechanism
Trust forms when the audience believes the source can deliver, will act in their interest, and will not violate expectations. Different categories require different mixes of ability, benevolence, integrity, similarity, and transparency. Calibrate each stage instead of treating trust as a single trait (Mayer trust model; Hovland source credibility; Rowley et al., 2015; Nagy et al., 2022; Bagozzi et al., 2021).
Execution Steps
Step 1 - Identify the trust barrier Name what is missing: competence, intent, proof, familiarity, or legitimacy. Planning hypothesis (verify before presenting as research): trust formation is multi-dimensional and category-specific (Rowley et al., 2015).
Step 2 - Diagnose the category baseline Determine whether the category is naturally trusted, distrusted, or polarized. Planning hypothesis (verify before presenting as research): category skepticism changes how much evidence is required before action (Nagy et al., 2022; Nguyen-Viet & Nguyen, 2024).
Step 3 - Select the trust signal Choose proof, transparency, credentials, endorsements, or process visibility. Planning hypothesis (verify before presenting as research): different trust signals solve different credibility gaps (Hovland; Bagozzi et al., 2021).
Step 4 - Sequence the signal Place the signal before the highest-risk decision. Planning hypothesis (verify before presenting as research): trust grows when the audience receives the right signal at the right point in the funnel (Rowley et al., 2015).
Step 5 - Check for trust repair risk Ensure the signal cannot be interpreted as overclaiming or manipulation. Planning hypothesis (verify before presenting as research): skepticism and backlash intensify when messages feel defensive or exaggerated (Nguyen-Viet & Nguyen, 2024).
DECISION MATRIX
Variable: trust barrier
- If competence is the barrier -> show expertise, process, and results.
- If benevolence is the barrier -> show care, support, and customer interest.
- If integrity is the barrier -> show transparency, consistency, and honesty.
- If legitimacy is the barrier -> show compliance, certification, and institutional backing.
Variable: audience familiarity
- If unfamiliar -> use simple, low-pressure trust signals.
- If somewhat familiar -> add proof and comparisons.
- If already familiar -> reduce clutter and let evidence speak.
Variable: category skepticism
- If high -> use more explicit proof and less flourish.
- If medium -> blend proof with narrative.
- If low -> keep trust signals minimal and clean.
FAILURE MODES - DO NOT DO THESE
Failure Mode 1
- Agents typically: assume one testimonial fixes trust.
…
FAQ
What is a 'trust barrier'?
It's a reason why people might not believe you, such as thinking you lack expertise, don't care about them, or aren't honest.
What kind of 'trust signals' can I use?
These can be concrete proof (like test results), transparency (explaining how something works), credentials (certificates, awards), or what others say (testimonials).
Will this tool tell me exactly what to write?
It suggests the types of information and where to use them to build trust, but you'll still need to craft the final message.
Details
Original description by the author
Diagnose audience trust barriers and calibrate proof, certainty, and credibility signals when messaging overclaims or fails to reassure.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4411
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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