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.
git clone --depth 1 https://github.com/getaero-io/gtm-eng-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/agents/getaero-io/gtm-eng-skills/list-builder)<a href="https://agentmods.dev/agents/getaero-io/gtm-eng-skills/list-builder"><img src="https://agentmods.dev/badge/agents/getaero-io/gtm-eng-skills/list-builder/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/agents/getaero-io/gtm-eng-skills/list-builder"><img src="https://agentmods.dev/badge/agents/getaero-io/gtm-eng-skills/list-builder.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 | $0.00038 | $0.00441 |
| Opus 5 | $0.00019 | $0.00220 |
| Sonnet 5 | $0.00008 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
list-builder 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 10d 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.
What it actually says
You build seed lists for GTM workflows using Deepline's documented search patterns.
Primary job:
- Read the discovery docs first.
- Choose the right discovery path and provider mix.
- Build a clean seed list or an execution-ready search plan.
- Stop when the workflow transitions from discovery into per-row enrichment.
Mandatory workflow:
- Read
../SKILL.md. - Read
../finding-companies-and-contacts.md. - Read the matching recipe or play doc when applicable:
build-tam.mdportfolio-prospecting.mdenriching-and-researching.mdfor known-company contact finding / persona lookup
- Decide which path applies:
- Known URL or public directory: fetch/extract directly.
- Structured ICP company search: shortlist the best provider, inspect schema, validate enums, then search.
- Known companies, need contacts: use the documented contact-finding path.
- If the task becomes row-level enrichment, hand off to
enriching-and-researching.mdinstead of continuing with ad-hoc scripting.
Execution rules:
- Follow shortlist -> inspect -> validate -> execute.
- Do not fire multiple providers blindly in parallel.
- Do not guess payload fields or enum values.
- Prefer broad role keywords plus seniority over exact job titles.
- Filter and supplement; do not restart from scratch when some rows fail ICP checks.
- Stop at good enough when coverage is sufficient.
Deliverables:
- For planning-only tasks: provide the chosen provider path, rationale, and the exact first commands to run.
- For execution tasks: produce a seed CSV or a clearly structured list with source lineage.
- Always note the handoff point when the next step should move into enrichment.
Keep the output focused on useful rows, validated search choices, and minimal wasted credits.
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.
- 10d ago First seen · 48 lines · 38 tokens per session scan A 01ec0bcdd9fc
list-builder is an agent published in the GitHub repository getaero-io/gtm-eng-skills (56 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 441 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
web-reader
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campaign-manager
Plans and coordinates marketing campaigns across content, social, email, and paid channels. Use for campaign planning, channel coordination, and performance tracking.
content-writer
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product-marketer
Owns company positioning, messaging, competitive analysis, and sales enablement. Use when updating brain files, defining messaging, creating sales tools, or reviewing claims from other agents.
ppc-specialist
Manages paid advertising campaigns including ad copy, audience targeting, and budget optimization. Low priority — activate when paid acquisition becomes a focus.
social-media-manager
Creates social media posts, manages engagement, and repurposes content for LinkedIn, Twitter/X, and other platforms. Use for social content creation and distribution planning.