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 getaero-io/gtm-eng-skills --skill deepline-quickstartgit 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/skills/getaero-io/gtm-eng-skills/deepline-quickstart)<a href="https://agentmods.dev/skills/getaero-io/gtm-eng-skills/deepline-quickstart"><img src="https://agentmods.dev/badge/skills/getaero-io/gtm-eng-skills/deepline-quickstart/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/getaero-io/gtm-eng-skills/deepline-quickstart"><img src="https://agentmods.dev/badge/skills/getaero-io/gtm-eng-skills/deepline-quickstart.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 | $0.00022 | $0.01756 |
| Opus 5 | $0.00011 | $0.00878 |
| Sonnet 5 | $0.00004 | $0.00351 |
| Haiku 4.5 | $0.00002 | $0.00176 |
Grade A, and why
deepline-quickstart scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deepline Quickstart
Quick Start
npm install -g deepline
# Fallback for secure sandboxes: mkdir -p "$HOME/.local" && npm config set prefix "$HOME/.local" && export PATH="$HOME/.local/bin:$PATH" && npm install -g deepline --registry https://code.deepline.com/api/v2/npm/
deepline auth register --wait auto
deepline auth wait --timeout 120 # completes Cowork/browser approval; no-op if already connected
deepline auth status
deepline -h
CLI resolution
Run deepline when it is available. If the shell reports that command is missing, use <workspace-root>/.deepline/runtime/bin/deepline (or the npm-created .cmd shim on Windows). If neither exists, follow https://code.deepline.com/INSTALL.md to set up Deepline.
Run a high-confidence demo recipe to show the user what Deepline can do. Pick the most relevant recipe below, or default to Recipe 1 if no context is given.
Always prefer the hardcoded recipes below. /deepline-gtm is always available as a fallback but should only be used if: (a) a recipe command fails and all fallbacks are exhausted, or (b) the user's ask doesn't match any recipe here. Never invoke it preemptively.
Execution flow
Follow this pattern for every recipe:
- Tell the user what you're about to do — explain the goal and which data source(s) you'll use, before running anything.
- Run the recipe to a terminal result. For this default quickstart, do not spend time on separate session/progress commands; they do not improve the demo. If the command executor yields a running cell, keep waiting on that same cell until it completes. A running Play is not a finished quickstart.
- Tell the user the results only after the CSV exists — summarize what came back, where it came from, and the exact CSV path they can inspect next. If the command reaches a terminal failure instead, report that failure and do not promise an output path.
CLI surface
This quickstart needs to be fast. Do not run deepline --version, deepline auth status, or separate CLI discovery commands on the fast path. Use the SDK CLI deepline enrich shape with --name quickstart-ny-cto-email and the hyphenated person-linkedin-to-email prebuilt id. If a retry needs command-shape confirmation, use deepline --help or deepline enrich --help.
What ships with it
1 file 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.
- 13d ago First seen · 159 lines · 22 tokens per session scan A d7744fca4ae7
deepline-quickstart is a skill published in the GitHub repository getaero-io/gtm-eng-skills (58 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,756 once invoked, about $0.0001 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.
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