Agent skill

Trust Calibrator

by sickn33 in sickn33/agentic-awesome-skills

One sentence - what this skill does and when to invoke it. An agent skill from sickn33/agentic-awesome-skills.

MITAuto-check passed

Install Trust Calibrator

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill trust-calibrator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills trust-calibrator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trust-calibrator .claude/skills/trust-calibrator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
trust-calibrator
GitHub stars
47k
Used in
2 other repos
Token cost
~1.4k tokens
SKILL.md length
718 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

One sentence - what this skill does and when to invoke it. An agent skill from sickn33/agentic-awesome-skills.

  • Works in 4 steps: The Target Human - psychographic profile… → The Objective - what trust must unlock. → The Output - trust audit and… → …
  • SKILL.md covers When to Use, CONTEXT GATHERING, PSYCHOLOGICAL FRAMEWORK:… and DECISION MATRIX, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Trust Calibrator is an agent skill from sickn33/agentic-awesome-skills. One sentence - what this skill does and when to invoke it

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

Example prompts

  • “/trust-calibrator”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. The Target Human - psychographic profile and skepticism level.
  2. The Objective - what trust must unlock.
  3. The Output - trust audit and trust-building prescription.
  4. Constraints - category risk, history, and ethics.

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Trust Calibrator loads about 1.4k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 718 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 718 words, ~1,374 tokens.

Download SKILL.mdSave it as .claude/skills/trust-calibrator/SKILL.md (or your agent's skills folder).
name
trust-calibrator
description
One sentence - what this skill does and when to invoke it
risk
safe
source
community
date_added
2026-04-04

You are a Social Psychologist specializing in trust formation and credibility research. 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.

CONTEXT GATHERING

Before calibrating trust, establish:

  1. The Target Human - psychographic profile and skepticism level.
  2. The Objective - what trust must unlock.
  3. The Output - trust audit and trust-building prescription.
  4. 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. Research basis: 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. Research basis: 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. Research basis: 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. Research basis: 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. Research basis: 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.
Show full SKILL.md (277 more words)Show less

FAILURE MODES - DO NOT DO THESE

Failure Mode 1

  • Agents typically: assume one testimonial fixes trust.
  • Why it fails psychologically: trust problems are usually structural, not cosmetic.
  • Instead: match the signal to the actual barrier.

Failure Mode 2

  • Agents typically: overdo transparency in a way that feels defensive.
  • Why it fails psychologically: defensive language can increase suspicion.
  • Instead: be clear, calm, and bounded.

Failure Mode 3

  • Agents typically: use trust signals out of sequence.
  • Why it fails psychologically: trust must be present at the decision point.
  • Instead: place signals where the risk is felt.

ETHICAL GUARDRAILS

This skill must:

  • Build trust with real evidence.
  • Avoid fake intimacy and fake authority.
  • Respect uncertainty when the evidence is incomplete.

The line between persuasion and manipulation is giving a person the signals they need to make an informed choice versus manufacturing a trust persona that is not real. Never cross it.

SKILL CHAINING

Before invoking this skill, the agent should have completed:

  • @customer-psychographic-profiler
  • @awareness-stage-mapper

This skill's output feeds into:

  • @social-proof-architect
  • @copywriting-psychologist
  • @pitch-psychologist
  • @sequence-psychologist

OUTPUT QUALITY CHECK

Before finalizing output, the agent asks:

  • Did I identify the actual trust barrier?
  • Did I choose the right trust signal?
  • Did I place it at the right decision point?
  • Did I avoid defensive over-explaining?
  • Does the output feel credible, calm, and real?

Example

User request:

Calibrate the certainty, proof, and claim strength in this message for a skeptical audience.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/trust-calibrator of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 2 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Trust Calibrator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Trust Calibrator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trust Calibrator this skillsickn33/agentic-awesome-skills47k2 repos~1.4kAutomated safety check: PassMIT
CLI Anything CalibreHKUDS/CLI-Anything52k—~1.8kAutomated safety check: NotesApache-2.0
Trust Signalsthedaviddias/Front-End-Checklist74k—~619Automated safety check: PassMIT
Implementing Zero Trust In Cloudmukul975/Anthropic-Cybersecurity-Skills34k—~3.3kAutomated safety check: PassApache-2.0
RuView Room Calibrationruvnet/RuView97k—~320Automated safety check: PassMIT
Performing Active Directory Forest Trust Attackmukul975/Anthropic-Cybersecurity-Skills34k—~675Automated safety check: PassApache-2.0

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Questions about Trust Calibrator

What does Trust Calibrator do?

One sentence - what this skill does and when to invoke it. An agent skill from sickn33/agentic-awesome-skills. Trust Calibrator is an agent skill from sickn33/agentic-awesome-skills.

How do I install Trust Calibrator in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill trust-calibrator -a claude-code`. Or copy the skill folder (skills/trust-calibrator in sickn33/agentic-awesome-skills) into .claude/skills/trust-calibrator in your project. Claude Code loads it when a task matches its description.

How do I install Trust Calibrator in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill trust-calibrator -a codex`. Or copy the skill folder (skills/trust-calibrator in sickn33/agentic-awesome-skills) into .agents/skills/trust-calibrator in your project. Codex loads it when a task matches its description.

Can I use Trust Calibrator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill trust-calibrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trust-calibrator, .gemini/skills/trust-calibrator, .github/skills/trust-calibrator and .opencode/skills/trust-calibrator in your project.

What does Trust Calibrator need to run?

SKILL.md names no scripts, command-line tools or credentials: Trust Calibrator is instructions for the agent only.

Does Trust Calibrator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Trust Calibrator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Trust Calibrator use?

Trust Calibrator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Trust Calibrator use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Trust Calibrator?

Skills that share tags, products or a category with Trust Calibrator: CLI Anything Calibre (HKUDS/CLI-Anything, 52k stars), Trust Signals (thedaviddias/Front-End-Checklist, 74k stars), Implementing Zero Trust In Cloud (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and RuView Room Calibration (ruvnet/RuView, 97k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trust Calibrator?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.