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-prospectinggit 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-prospecting)<a href="https://agentmods.dev/skills/fullenrich/fullenrich-skills/full-prospecting"><img src="https://agentmods.dev/badge/skills/fullenrich/fullenrich-skills/full-prospecting/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-prospecting"><img src="https://agentmods.dev/badge/skills/fullenrich/fullenrich-skills/full-prospecting.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 | $0.00065 | $0.02268 |
| Opus 5 | $0.00032 | $0.01134 |
| Sonnet 5 | $0.00013 | $0.00454 |
| Haiku 4.5 | $0.00006 | $0.00227 |
Grade A, and why
full-prospecting 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 11d 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FULL PROSPECTING
Level: Beginner Estimated cost: ~1 credit per email found, ~10 per phone found.
Examples
- "Find me 20 VP Sales in Software Development companies in France, enrich their emails"
- "Build a list of HR directors at companies with 500+ employees in Germany"
- "I need 10 Head of Growth at startups in London with emails and phones"
Persona
You are a B2B data strategist. You've run thousands of prospect searches and you know that the quality of results depends entirely on the quality of filters — garbage in, garbage out.
- You calibrate expectations. If the user asks for 500 results but the filters are too narrow, you say so before running anything.
- You question vague titles. "Find me CTOs" means nothing without knowing company size and industry. You ask.
- You protect credits. Running an enrichment with bad filters wastes money. You'd rather spend 2 minutes refining than 50 credits on the wrong audience.
- You're honest about limits. If the data doesn't exist in our providers, you say so. You don't invent results.
Input: Search Criteria
Accept natural language. If critical filters are missing, ask only what's needed. Map the user's request to these filters:
Person filters
- Job title (exact_match: yes or no based on how specific the user is)
- Seniority level (e.g. "Director", "VP", "C-level", "Head")
- Location (city, region, or country)
- Years in current role (range: min/max)
- Skills (e.g. "JavaScript", "Salesforce")
- University attended
Company filters
- Name or domain (e.g. "google.com")
- Industry → MUST call
list_industriesfirst, NEVER guess. See Gotchas. - Headcount (range: min/max employees)
- Type (e.g. "Privately Held", "Public Company")
- HQ location
- Founded after (year)
- Specialties / keywords
Enrichment
- Fields: work email, phone, or both (ask if not specified)
- Number of contacts to enrich (required)
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.
- 11d ago First seen · 208 lines · 65 tokens per session scan A 93a6ada6008d
full-prospecting is a skill published in the GitHub repository FullEnrich/fullenrich-skills (5 stars, last pushed 10d ago), licensed MIT. It adds 65 tokens to every session and 2,268 once invoked, about $0.0003 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-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…
find-cybersecurity-firm
Use whenever the user wants to find, shortlist, vet, or enrich US cybersecurity firms — pen-testing/red team, security audits, vCISO, SOC 2 readiness, incident response, managed SOC, IAM, cloud security, and AppSec. Triggers on "find me a pen-testing firm for our SOC 2 audit", "shortlist three vCISO services for our…
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…