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 influencer-outreachgit 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/influencer-outreach)<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/influencer-outreach"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/influencer-outreach/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/influencer-outreach"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/influencer-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 19 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00238 |
| Opus 5 | $0.00000 | $0.00119 |
| Sonnet 5 | $0.00000 | $0.00048 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
influencer-outreach 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 9d 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
Influencer Outreach
Find, contact, and manage influencer partnerships for e-commerce brands. Outreach templates, negotiation tactics, contract frameworks, and relationship management across Instagram, TikTok, YouTube, and more.
Capabilities
- Influencer discovery by platform, niche, and audience demographics
- Outreach email and DM templates (cold and warm)
- Rate negotiation frameworks and pricing benchmarks
- Campaign brief creation and content guidelines
- Contract templates covering usage rights and deliverables
- Performance tracking and reporting
- Long-term ambassador program design
- Micro-influencer vs macro-influencer strategy
Install
npx skills add nexscope/influencer-outreach
Usage
Ask your AI agent:
- "Write outreach emails for 10 fitness influencers for my supplement brand."
- "What should I pay a TikTok creator with 50K followers?"
- "Create a contract template for influencer partnerships."
Output
Structured recommendations with actionable steps, benchmarks, and platform-specific guidance.
Built by Nexscope — AI-powered e-commerce tools for sellers worldwide.
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.
- 9d ago First seen · 37 lines · 0 tokens per session scan A f578ca20f4e2
influencer-outreach is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 238 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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