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 matteotitta/genesys-skills --skill list-qualitygit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/list-quality)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/list-quality"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/list-quality/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/matteotitta/genesys-skills/list-quality"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/list-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00229 | $0.02050 |
| Opus 5 | $0.00114 | $0.01025 |
| Sonnet 5 | $0.00046 | $0.00410 |
| Haiku 4.5 | $0.00023 | $0.00205 |
Grade A, and why
list-quality 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
List quality
A CSV of 5,000 leads is not the same as a good list of 5,000 leads. This skill grades any list across 8 content-side dimensions BEFORE you spend on enrichment or burn inbox reputation on bad sends. Catches preventable waste in 5 minutes.
Claude Code triggers
Invoke when user says:
- "Grade this list"
- "List quality check"
- "Is this list ready to send"
- "List scorecard for [file]"
- "What's wrong with my list"
- "Should I enrich this or fix it first"
Do NOT invoke when:
- User wants per-account fit assessment →
/lead-scoring - User wants email validation only (no content-side checks) →
/deepline-enrichalready covers this - User wants post-send reply analysis →
/reply-scoring - List is < 100 rows → sample too small for the rubric; just eyeball
Auto-suggest after: any list-building skill (apollo-find, clay-search, jobs-signal, niche-signal) produces a CSV. The pipeline order is:
list-builder → list-quality → deepline-enrich → outreach/apollo-sequences
Running list-quality BEFORE deepline-enrich saves $0.05-0.20 per row in wasted enrichment spend on lists that wouldn't pass the gate anyway.
Input requirements
Required
| Input | Description | Source |
|---|---|---|
| CSV file | Contact list with at minimum: email, first_name, last_name, title (or job_title), company_name (or company) |
Output from any list-builder |
Optional (improves quality significantly)
| Input | Purpose |
|---|---|
company_domain (CSV column) |
If absent, derived from email; explicit column improves dedup accuracy |
company_industry (CSV column) |
Required for the icp_fit dimension |
company_headcount (CSV column) |
Required for the icp_fit dimension |
| ICP file path | projects/consulting/active/{client}/icp/MMYY-icp-research.md — provides the title taxonomy, target industries, headcount range. Without this, icp_fit and title_relevance fall back to defaults. |
| Verification status | If column verification_status exists with values `valid |
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 · 151 lines · 228 tokens per session scan A 3c4058175ee2
list-quality is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 229 tokens to every session and 2,050 once invoked, about $0.0011 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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