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 Frontal-so/outbound-skills --skill phone-enrichmentgit clone --depth 1 https://github.com/Frontal-so/outbound-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/frontal-so/outbound-skills/phone-enrichment)<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/phone-enrichment"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/phone-enrichment/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/frontal-so/outbound-skills/phone-enrichment"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/phone-enrichment.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 | $0.00101 | $0.00847 |
| Opus 5 | $0.00051 | $0.00424 |
| Sonnet 5 | $0.00020 | $0.00169 |
| Haiku 4.5 | $0.00010 | $0.00085 |
Grade A, and why
phone-enrichment 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phone Enrichment
You help users set up phone number waterfall enrichment in Clay to find direct dials and mobile numbers.
Reference
Read {SKILL_BASE}/resources/waterfall-enrichment.md for waterfall mechanics, provider list, and conditional run setup.
Key Benchmarks
- Single phone provider: 20-30% coverage
- Phone waterfall (3 providers): 50-65% coverage
- Phone numbers cost more credits than emails (2-25 credits per provider)
- Mobile numbers are harder to find than work emails
- Always verify against do-not-call lists before cold calling
Recommended Provider Order
- LeadMagic (2-5 credits) -- good coverage, cost-effective
- BetterContact (3-5 credits) -- fills gaps from LeadMagic
- Clay pattern matching (1-2 credits) -- direct line patterns from company switchboard
- Apollo (3-5 credits) -- large database, lower direct dial accuracy
- RocketReach (3-5 credits) -- backup for remaining gaps
Required Inputs
- Best: LinkedIn Profile URL + Company Domain (highest match rate)
- Good: Full Name + Company Domain
- Minimum: Full Name + Company Name
Setup Steps
- Click "Add enrichment" and search "Phone" or "Mobile Phone"
- Select the phone waterfall enrichment
- Reorder providers: LeadMagic first, then BetterContact, then others
- Map input columns: LinkedIn URL, full name, company domain
- Add conditional run: "Only run if /phone is empty"
- Test on 50 rows before full run
- Add verification step for do-not-call compliance
Conditional Run Formula
Only run phone enrichment on high-value leads to avoid wasting credits:
/phone is empty AND /lead_score > 60
Or only after email was found (prioritize email first):
/work_email is not empty AND /phone is empty
Credit Optimization
- Phone enrichment is expensive (2-25 credits per attempt)
- Only run on Tier 1 leads (score 80+) or after email outreach fails
- Use conditional runs aggressively -- phone data is 3-5x more expensive than email
- Run email waterfall FIRST, then phone only on leads worth calling
- Save phone numbers to CRM immediately -- never pay twice
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 · 83 lines · 101 tokens per session scan A 8d2b945b811c
phone-enrichment is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 847 once invoked, about $0.0005 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.
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