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 jqaisystems/jqai-ai-skills --skill outreach-pipeline-designergit clone --depth 1 https://github.com/jqaisystems/jqai-ai-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/jqaisystems/jqai-ai-skills/outreach-pipeline-designer)<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/outreach-pipeline-designer"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/outreach-pipeline-designer/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/jqaisystems/jqai-ai-skills/outreach-pipeline-designer"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/outreach-pipeline-designer.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 | $0.00094 | $0.00683 |
| Opus 5 | $0.00047 | $0.00342 |
| Sonnet 5 | $0.00019 | $0.00137 |
| Haiku 4.5 | $0.00009 | $0.00068 |
Grade A, and why
outreach-pipeline-designer 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outreach Pipeline Designer
Overview
Use this skill to design review-first outreach systems where AI helps search, enrich, score, draft, and prioritize, but a human approves every message, export, schedule, or system-of-record change.
Workflow
- Clarify the audience and offer: who the outreach is for, what problem is being solved, and what channels are allowed.
- Read
references/pipeline-blueprint.mdand choose the minimum viable pipeline stages. - Read
references/scoring-rubric.mdbefore defining score ranges, qualification fields, and next actions. - Read
references/review-and-safety.mdbefore recommending sending, exporting, enrichment, scraping, or CRM updates. - Produce a pipeline design with source inputs, lead fields, enrichment fields, scoring thresholds, drafting rules, review states, handoff steps, and stop conditions.
- Use fake sample leads and fake companies in examples. Never include real prospects, emails, phone numbers, API keys, prompt text, logs, CSV exports, or private CRM data.
Default Pipeline
Use this sequence unless the user gives a stronger domain-specific process:
source: collect candidate accounts or contacts from approved inputs.normalize: convert inputs into a consistent lead record.enrich: add public business context and fit signals.score: apply a transparent qualification rubric.draft: create a first message or follow-up prompt for review.review: approve, edit, reject, defer, or request more context.handoff: export approved records, create tasks, or update a CRM.follow_up: schedule reminders or next actions after human approval.
Safety Rules
- Do not design unattended sending. Every email, DM, post, CRM mutation, or export needs human approval.
- Do not provide instructions for evading platform limits, harvesting private contact data, bypassing consent, or scraping behind login walls.
- Do not store or publish real prospect lists, raw exports, phone numbers, emails, credentials, prompt text, or enrichment logs.
- Prefer business-level account qualification before contact-level personalization.
- Include opt-out, suppression, duplicate detection, and disqualification states in any outbound workflow.
- Tell the user to check current laws, platform terms, and internal policies before launching outreach.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 57 lines · 94 tokens per session scan A a4c7bea2c728
outreach-pipeline-designer is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 94 tokens to every session and 683 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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