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.
npx skills add dansasser/claude-code-marketplace --skill testimonialgit clone --depth 1 https://github.com/dansasser/claude-code-marketplaceWrote 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.
[](https://agentmods.dev/skills/dansasser/claude-code-marketplace/testimonial)<a href="https://agentmods.dev/skills/dansasser/claude-code-marketplace/testimonial"><img src="https://agentmods.dev/badge/skills/dansasser/claude-code-marketplace/testimonial.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00390 |
| Opus 5 | $0.00015 | $0.00195 |
| Sonnet 5 | $0.00006 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
testimonial 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 8d 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.
What it actually says
Use the Remotion best practices skill (SKILL.md at the plugin root). Follow its scene planning algorithm for all production steps.
Testimonial / Social Proof
Input
$ARGUMENTS
Questionnaire
If not answered by the input, ask:
- What business? — Business name and/or URL
- Where are the reviews? — Google Maps, Facebook, Yelp, Trustpilot, G2, App Store, or should I search all?
- How many reviews to feature? — Default: 3-5 best ones
Script
Research reviews across all available platforms. Find:
- Overall star rating per platform
- Total review count
- Top 3-5 reviews (highest rated, most compelling quotes)
- Reviewer names (first name + last initial for privacy)
- Any common themes across reviews
Present the findings and proposed script for approval before building.
Scene Structure
- Scene 1: Hook — star rating reveal with count-up animation (e.g. "4.9 stars from 127 reviews")
- Scene 2-4: Featured reviews — one review per scene, show the quote, reviewer name, star rating, and platform icon
- Scene 5: Social proof stack — all platforms side by side with ratings, CTA
Visual Approach
- Review cards with star ratings (gold #f59e0b)
- Quotation mark decorative elements
- Platform icons/logos for source attribution
- Count-up animation for star rating and review count
- Review cards animate in with spring, stagger between reviews
- B-roll backgrounds matching the business type
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.
- 8d ago First seen · 43 lines · 29 tokens per session scan A 8c0abb739f0e
testimonial is a skill published in the GitHub repository dansasser/claude-code-marketplace (9 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 390 once invoked, about $0.0001 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 2026-08-31.
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