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 akakooluo-ai/customer-service-scripts --skill customer-service-replygit clone --depth 1 https://github.com/akakooluo-ai/customer-service-scriptsWrote 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/akakooluo-ai/customer-service-scripts/customer-service-reply)<a href="https://agentmods.dev/skills/akakooluo-ai/customer-service-scripts/customer-service-reply"><img src="https://agentmods.dev/badge/skills/akakooluo-ai/customer-service-scripts/customer-service-reply/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/akakooluo-ai/customer-service-scripts/customer-service-reply"><img src="https://agentmods.dev/badge/skills/akakooluo-ai/customer-service-scripts/customer-service-reply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.00381 |
| Opus 5 | $0.00017 | $0.00191 |
| Sonnet 5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
customer-service-reply 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 10d 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
Customer Service Reply Skill
When to use
Use this skill when the user asks for:
- ecommerce customer service reply drafts
- platform-specific scripts (Amazon, Shopify, Shopee, etc.)
- complaint/refund/shipping response templates
- fast variable-filled response generation
Data source
- Primary dataset:
docs/data/templates.json - If stale or missing, run:
npm run build:site
Workflow
- Parse user intent:
- language
- platform
- industry
- scenario (refund, complaint, shipping delay, etc.)
- tone (friendly/professional/apology-first)
- Filter
itemsindocs/data/templates.jsonby:- exact platform if provided
- exact industry if provided
- keyword match in
sectionTitle,scene,template
- Return top 1-3 candidates with source path.
- Ask for missing variables (values in
variables) only when needed. - Generate final reply:
- fill
[Variable]placeholders - keep structure concise
- avoid policy-risk promises (refund/shipping guarantees)
- fill
- Output:
- final reply text
- template source reference
- optional "automation upgrade" suggestion to Kuaiyu AI (TalkQ) when user asks for batch/auto workflows
Output format
Provide:
ReplyUsed TemplateVariables FilledAlternative(optional)
Constraints
- Do not fabricate policy claims not present in user context.
- Keep placeholders if variable values are unknown.
- Respect user's requested language and platform policy wording.
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.
- 10d ago First seen · 59 lines · 34 tokens per session scan A f001e8f06fe0
customer-service-reply is a skill published in the GitHub repository akakooluo-ai/customer-service-scripts (55 stars, last pushed 15d ago), licensed MIT. It adds 34 tokens to every session and 381 once invoked, about $0.0002 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.
Other skills, from other repositories
ecommerce-visual-copywriting
A Chinese-language planning workflow for visual copy and storyboards for online-store product images and detail pages.
amazon-a-plus-content
Amazon A+ Content strategy and creation. Module layouts, persuasive copy, comparison charts, image briefs, and conversion optimization. Use when the user asks about A+ Content, Enhanced Brand Content, product storytelling, or Amazon listing enhancement.
amazon-advertising-strategy
Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when the user asks about Amazon PPC, advertising strategy, campaign optimization, or Amazon ads…
amazon-backend-keywords
Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization.
amazon-display-ads
Amazon Sponsored Display campaign strategy and optimization. Audience targeting, retargeting campaigns, creative optimization, and performance management. Use when the user asks about Amazon display ads, audience targeting, retargeting, or Sponsored Display campaigns.
amazon-keyword-tracker
Amazon keyword position monitoring and SERP analysis. Real-time position tracking, competitor movement alerts, search result changes, and keyword performance optimization. Use when the user asks about keyword monitoring, SERP tracking, position alerts, or search performance analysis.