OpenOutreach is a self-hosted command-line AI agent that finds potential business customers from a product description and target-market definition, evaluates their fit, and emails them from the user's mailbox. It is for B2B lead generation without requiring the user to upload a lead list.
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 eracle/OpenOutreach --skill find-leadsgit clone --depth 1 https://github.com/eracle/OpenOutreachWrote 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/eracle/openoutreach/find-leads)<a href="https://agentmods.dev/skills/eracle/openoutreach/find-leads"><img src="https://agentmods.dev/badge/skills/eracle/openoutreach/find-leads/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/eracle/openoutreach/find-leads"><img src="https://agentmods.dev/badge/skills/eracle/openoutreach/find-leads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 30 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00000 | $0.04838 |
| Opus 5.5 | $0.00000 | $0.01935 |
| Sonnet 5.5 | $0.00000 | $0.00968 |
| Haiku 4.5 | $0.00000 | $0.00484 |
Grade A, and why
find-leads 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 4d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 4d ago Changed · +9 lines 1854edb92a7f
- 10d ago Changed · +3 lines e27d5c288305
- 29d ago Changed · -2 lines f2bcf99dfff4
- 1mo ago Changed · +57 lines a9a468ac4ddd
- 1mo ago Changed 0cecdffe44e5
- 1mo ago Changed · +39 lines edd2d46e4f17
- 1mo ago First seen · 223 lines · 0 tokens per session scan A 1d4ac3dc9684
find-leads is a skill published in the GitHub repository eracle/OpenOutreach (3,389 stars, last pushed yesterday), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 4,838 tokens. 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 2026-08-30.
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