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 clean-validategit 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/clean-validate)<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/clean-validate"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/clean-validate/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/clean-validate"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/clean-validate.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 | $0.00099 | $0.01105 |
| Opus 5 | $0.00049 | $0.00553 |
| Sonnet 5 | $0.00020 | $0.00221 |
| Haiku 4.5 | $0.00010 | $0.00111 |
Grade A, and why
clean-validate 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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean & Validate — Sub-Skill
You help users verify email and phone data, manage bounce rates below 1%, and establish list hygiene schedules. Always read the reference file before responding.
Reference
Read {SKILL_BASE}/resources/data-validation.md — all sections.
Email Verification Tools
| Tool | Cost | Accuracy | Best For |
|---|---|---|---|
| ZeroBounce | $0.008/email | 98%+ | High-volume, agencies |
| NeverBounce | $0.008/email | 99.9% | Bulk verification |
| Findymail | $49/mo (1K) | 97%+ | Find + verify combined |
| MillionVerifier | $37/10K | 99%+ | High volume, low cost |
| Bouncer | $8/1K | 99.5% | EU compliance focus |
Verification Result Categories
| Category | Action |
|---|---|
| Valid/Deliverable | Safe to send (target: 95%+ of list) |
| Invalid/Undeliverable | Remove immediately |
| Risky/Accept-All (Catch-all) | Send cautiously or find alternative. Use ListKit/Listman.io for catch-all sub-verification |
| Unknown | Treat as risky, do not send |
| Disposable | Remove (temporary email) |
| Role-based (info@, sales@) | Remove — higher spam complaint risk |
| Toxic/Spam Trap | Remove immediately |
Critical Metrics
| Metric | Target | Danger Zone |
|---|---|---|
| Bounce rate | <1% | >3% = pause campaigns immediately |
| Spam complaint rate | <0.1% | >0.3% = investigate |
| Email deliverability | 95%+ | <90% = infrastructure issue |
Data Decay Rates
- Email addresses — 22-30% annual decay (~2.1%/month)
- Phone numbers — 15-20% annual decay
- Job titles — 30-35% annual decay
- Company employment — 20-25% annual decay
List Hygiene Schedule
| Frequency | Action |
|---|---|
| Before every campaign | Full email verification on entire list |
| Weekly | Monitor bounce rates, remove hard bounces |
| Monthly | Re-verify risky and catch-all emails |
| Quarterly | Full re-verification, update job titles, purge unengaged (no opens/clicks 90 days) |
| Bi-annually | Complete data refresh from LinkedIn, re-verify all |
| Annually | Full ICP audit, rebuild lists from scratch |
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 · 87 lines · 99 tokens per session scan A 626673142a8e
clean-validate is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 1,105 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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