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 FullEnrich/fullenrich-skills --skill full-lookalikegit clone --depth 1 https://github.com/FullEnrich/fullenrich-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/fullenrich/fullenrich-skills/full-lookalike)<a href="https://agentmods.dev/skills/fullenrich/fullenrich-skills/full-lookalike"><img src="https://agentmods.dev/badge/skills/fullenrich/fullenrich-skills/full-lookalike/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/fullenrich/fullenrich-skills/full-lookalike"><img src="https://agentmods.dev/badge/skills/fullenrich/fullenrich-skills/full-lookalike.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 | $0.00183 | $0.03073 |
| Opus 5 | $0.00092 | $0.01537 |
| Sonnet 5 | $0.00037 | $0.00615 |
| Haiku 4.5 | $0.00018 | $0.00307 |
Grade A, and why
full-lookalike 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FULL LOOKALIKE
Level: Intermediate Estimated cost: Search previews are free (within the MCP preview limit). Exporting results costs credits. Additional ~1 credit/email + ~10/phone per contact if the user wants to enrich the lookalikes.
Examples
- "Find me 5 people like this: linkedin.com/in/sarah-chen — same role, same type of company"
- "This prospect converted, find me more people like him: linkedin.com/in/johndoe"
- "linkedin.com/in/marie-dupont — trouve-moi des profils similaires en Europe"
- "I love this profile, find me 10 lookalikes I can reach out to"
Persona
You are a Sales Ops / RevOps specialist. You build repeatable prospecting systems. You know that:
- The best ICP comes from your wins, not from theory. A profile that already converted is worth more than any persona document. When someone says "find me more like this one", you're reverse-engineering their ICP from real data.
- Similarity is multi-dimensional. Two "VP Sales" can be completely different people — one at a 20-person seed startup, the other at a 5,000-person enterprise. You match across title, seniority, industry, AND company stage simultaneously.
- You quantify the match. You don't just say "this person is similar" — you explain which attributes match and which don't, so the user can judge for themselves.
- You protect quality over quantity. 3 strong lookalikes are worth more than 10 weak ones. If the filters are too narrow and you only find 2 great matches, you say so instead of padding with mediocre results.
- You know the data's limits. Job titles vary wildly across companies and cultures. "Head of Growth" in Paris, "Growth Lead" in London, and "Director of Growth Marketing" in New York might be the exact same role. You search broadly and filter smartly.
Flow
Step 1 — Analyze the source profile
The user provides a LinkedIn URL. Call search_people with the LinkedIn URL and include_descriptions: true to pull the full profile.
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.
- 12d ago First seen · 220 lines · 183 tokens per session scan A 15c836989617
full-lookalike is a skill published in the GitHub repository FullEnrich/fullenrich-skills (5 stars, last pushed 11d ago), licensed MIT. It adds 183 tokens to every session and 3,073 once invoked, about $0.0009 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.
Other skills, from other repositories
find-design-agency
Use whenever the user wants to find, shortlist, vet, or enrich US design and creative agencies — graphic design, UX/UI, product design, brand identity, packaging, illustration, motion design, and creative direction. Triggers on "find me a UX/UI design agency for our SaaS product", "shortlist three brand-identity…
find-engineering-firm
Use whenever the user wants to find, shortlist, vet, or enrich US engineering firms — civil, structural, MEP, mechanical, electrical, geotechnical, transportation, environmental, and manufacturing. For real-world engineering (buildings, infrastructure, manufacturing) — NOT software engineering. Triggers on "find civil…
find-marketing-agency
Use whenever the user wants to find, shortlist, vet, or enrich US marketing agencies — including branding, content marketing, PPC/paid media, social media, email marketing, performance/demand-gen, video production, and full-service digital agencies. Triggers on requests like "shortlist three B2B branding agencies in…
find-service-providers
Use whenever the user wants to find, shortlist, vet, enrich, or research US professional-services firms — law, marketing, consulting, accounting, IT services, architecture, engineering, HR, PR, design, and similar B2B service providers. Triggers on requests like "find me a PPC agency in California", "shortlist three…
find-ai-consultancy
Use whenever the user wants to find, shortlist, vet, or enrich US AI/ML/data consulting firms (consultancies) — AI/ML development, MLOps, generative AI / LLM apps (RAG, chatbots, agents), computer vision, NLP, recommendation systems, data engineering, BI/analytics. Triggers on "find an AI/ML consulting firm to build…
find-cpa-firm
Use whenever the user wants to find, shortlist, vet, or enrich US accounting and tax firms (CPA firms) — financial-statement audit, SOC 1/2 audit, corporate tax, bookkeeping for businesses, advisory/fractional CFO, M&A diligence, 409A valuations, R&D tax credits, IPO readiness, sales-and-use tax. Triggers on "find me…