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 nexscope-ai/eCommerce-Skills --skill online-reputation-managementgit clone --depth 1 https://github.com/nexscope-ai/eCommerce-SkillsWrote 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/nexscope-ai/ecommerce-skills/online-reputation-management)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/online-reputation-management"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/online-reputation-management/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/nexscope-ai/ecommerce-skills/online-reputation-management"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/online-reputation-management.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 | $0.00000 | $0.00374 |
| Opus 5 | $0.00000 | $0.00187 |
| Sonnet 5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
online-reputation-management 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
Online Reputation Management
AI-powered online reputation management skill for e-commerce brands. Builds reputation monitoring frameworks, negative review response strategies, rating recovery plans, and crisis communication templates.
Capabilities
- Generates actionable monitoring & alerts frameworks based on your specific business context
- Works across major e-commerce platforms (Amazon, Shopify, Walmart, WooCommerce, Etsy, TikTok Shop)
- Provides data-driven recommendations with industry benchmarks
- Outputs ready-to-implement plans, not just generic advice
Install
clawhub install online-reputation-management
Usage
Input: Brand name, product name, or store URL
Output: Reputation monitoring plan, negative review response templates, rating recovery roadmap, crisis response playbook
Example Prompt
"I run a [your business type] on [platform]. Help me set up online reputation management for my business. Here's my current situation: [describe context]."
Limitations
- Requires your specific business data for accurate recommendations
- Market benchmarks are based on US/EU data — adjust for other regions
- Recommendations should be validated against your platform's current policies
- Does not replace dedicated monitoring SaaS tools — designs the strategy and framework
Built by Nexscope AI — AI-powered e-commerce intelligence.
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 · 57 lines · 0 tokens per session scan A 162b82ebaf97
online-reputation-management is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 374 tokens. 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 2026-09-03.
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