testimonials-generator

testimonials-generator is a skill for Claude Code, Codex from T4wroot/agentic-seo. It costs 84 tokens per session (757 once invoked), scanned A, original, MIT.

A tool for adding, improving, or designing testimonials, reviews, and case study sections that show what customers say or achieved.

In plain words
What is it for?
Use it for customer quotes, reviews, case studies, testimonial sections, and review schema.
Why use it?
It helps organize customer feedback and other social proof so readers can assess a product or service with more context.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/t4wroot/agentic-seo/testimonials
Any agent
npx skills add T4wroot/agentic-seo --skill testimonials
Clone the repo
git clone --depth 1 https://github.com/T4wroot/agentic-seo

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for testimonials-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/t4wroot/agentic-seo/testimonials.svg)](https://agentmods.dev/skills/t4wroot/agentic-seo/testimonials)
Your own site
<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/testimonials"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/testimonials.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 757 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00084 $0.00757
Opus 5 $0.00042 $0.00378
Sonnet 5 $0.00017 $0.00151
Haiku 4.5 $0.00008 $0.00076

Measured 4d ago against content hash 6f790d09062c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

testimonials-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/components/conversion/testimonials/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Components: Testimonials

Guides testimonial design and placement for conversion. 92% of consumers read reviews before buying; testimonials can increase conversion by up to 67%.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for customer personas and industries.

Identify:

  1. Content type: Text quotes, video, case studies
  2. Placement: Product pages, pricing, hero, dedicated page
  3. Audience: B2B vs B2C; industry/role relevance

Content Formats

Format Effectiveness Best For
Video Highest; 77% say it influences buying Key landing pages
Text + photo Versatile; easy to implement Product, pricing
Case study Deep credibility; specific outcomes B2B, high-value
Star ratings Quick trust signal E-commerce

Video: 95% message retention vs 10% for text.

Best Practices

Content

  • Specific results: "Increased revenue by 40%" over generic praise
  • Real photos and names; avoid stock images
  • Variety: Different customer types, industries, use cases
  • Current: Update regularly; remove outdated testimonials

Placement

  • Product pages, pricing sections, near CTAs
  • Filter by industry/role so prospects see relevant stories
  • Organize by integration or outcome for specificity

Credibility Signals

  • Company logos, job titles
  • Verified reviews (badges, links)
  • Links to customer profiles or live stores when possible
  • Before/after narratives for emotional connection

Design Guidelines

  • Clean layouts; readable typography
  • Engaging visuals; avoid clutter
  • Mobile-optimized; fast loading
  • Carousel for multiple testimonials; see carousel for design and accessibility

Read the full file on GitHub · 88 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 88 lines · 84 tokens per session scan A 6f790d09062c

Subscribe to this mod's changes

testimonials-generator is a skill published in the GitHub repository T4wroot/agentic-seo (14 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 757 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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