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 deepline-enrichgit 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/deepline-enrich)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/deepline-enrich"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/deepline-enrich/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/deepline-enrich"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/deepline-enrich.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 | $0.00029 | $0.02679 |
| Opus 5 | $0.00015 | $0.01340 |
| Sonnet 5 | $0.00006 | $0.00536 |
| Haiku 4.5 | $0.00003 | $0.00268 |
Grade C, and why
deepline-enrich scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **Deepline CLI:** `curl -s "https://code.deepline.com/api/v2/cli/install" | bash` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Deepline CLI:** `curl -s "https://code.deepline.com/api/v2/cli/install" | bash` How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/deepline-enrich — Waterfall enrichment + email validation
Enrich prospect lists across 15+ data providers (Apollo, Hunter, PDL, Prospeo, Icypeas, ZeroBounce, BetterContact, etc.). Deepline runs a waterfall — first provider to return a valid result wins. Typically finds 20-40% more emails than any single provider.
Imported via: /steal analysis of https://code.deepline.com (2026-03-31). Phase F upgrade: Play patterns + credit gate (2026-04-04). Apify waterfall slot added 2026-05-01.
Doctrine inherited (Step 7 — 0626 rollout)
Output complies with:
output-tenets.md— the seven tenetsoutput-simplicity.md— length caps, three-layer source placement, robot-tells ban- Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]]
Refinements applied to this skill:
| Code | Refinement | How it lands in deepline-enrich |
|---|---|---|
| R1 | Source placement (three layers) | Enrichment output is internal-reference (CSV feeding downstream outbound). Provider attribution stays inline per row (which provider returned the match) — auditability matters for source-quality forensics. |
| R3 | Product-update tone | Skill-summary reports (cost per row, fill rate per provider) frame as "the run shipped X" not "we're thrilled to announce." Internal voice stays operator-direct. |
| R9 | Action-oriented section names | "Run the waterfall / Validate the emails / Hand off to outbound" — verb-led. Preserve. |
Note: this skill is internal-reference only; R2/R5/R6/R7/R8 do not apply (no customer-facing surface).
Prerequisites
- Deepline CLI:
curl -s "https://code.deepline.com/api/v2/cli/install" | bash - Python 3.10+ required (macOS ships 3.9 — install via
brew install [email protected]) - Node.js 20+ required (already met)
- BYOK keys configured: Run
deepline quickstartto connect existing provider API keys
Credit gate — voice-locked
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 · 227 lines · 200 tokens per session scan C 89d27a2060ff
deepline-enrich is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 2,679 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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