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 orchidautomation/pluxx --skill enrich-persongit clone --depth 1 https://github.com/orchidautomation/pluxxWrote 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/orchidautomation/pluxx/enrich-person)<a href="https://agentmods.dev/skills/orchidautomation/pluxx/enrich-person"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/enrich-person/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/orchidautomation/pluxx/enrich-person"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/enrich-person.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00045 | $0.00249 |
| Opus 5 | $0.00023 | $0.00125 |
| Sonnet 5 | $0.00009 | $0.00050 |
| Haiku 4.5 | $0.00005 | $0.00025 |
Grade A, and why
enrich-person 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
Enrich Person
Use the prospeo_enrich_person tool to get verified contact information for a person.
When to Use
- "Find the email for Sarah Park at Mosaic"
- "Get me contact info for the VP of Engineering at Stripe"
- "Look up John Smith's LinkedIn and work email"
How to Use
Call prospeo_enrich_person with either:
- A LinkedIn URL:
{ "linkedin_url": "https://linkedin.com/in/sarahpark" } - A name + company:
{ "first_name": "Sarah", "last_name": "Park", "company_name": "Mosaic" }
What You Get Back
- Verified work email (98% accuracy)
- Job title and department
- LinkedIn profile URL
- Mobile number (costs 10 credits)
- Employment history
- Company details
Cost
1 credit per enrichment. Mobile number adds 10 credits.
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 · 34 lines · 45 tokens per session scan A 2134dcd16744
enrich-person is a skill published in the GitHub repository orchidautomation/pluxx (5 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 249 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 2026-09-03.
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