deepline-analytics

deepline-analytics is a skill for Claude Code from getaero-io/gtm-eng-skills. It costs 115 tokens per session (3,789 once invoked), scanned A, original, MIT.

A guide for answering business analytics questions with Deepline, a tool for querying company data through its warehouse and shared metric definitions. It covers business areas such as revenue, sales pipeline, customers, and funnels.

In plain words
What is it for?
Use it for questions about revenue, pipeline, go-to-market metrics, customers, funnels, warehouses, and semantic-layer queries.
Why use it?
It helps keep analytics answers tied to the company's agreed definitions instead of treating every question as a custom database query. It also requires reporting the definitions and filters used.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it for questions about revenue, pipeline, go-to-market metrics, customers, funnels, warehouses, and semantic-layer queries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/getaero-io/gtm-eng-skills/deepline-analytics
Install

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.

Any agent
npx skills add getaero-io/gtm-eng-skills --skill deepline-analytics
Clone the repo
git clone --depth 1 https://github.com/getaero-io/gtm-eng-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for deepline-analytics

README.md
[![agentmods](https://agentmods.dev/badge/skills/getaero-io/gtm-eng-skills/deepline-analytics/github.svg)](https://agentmods.dev/skills/getaero-io/gtm-eng-skills/deepline-analytics)
Your own site
<a href="https://agentmods.dev/skills/getaero-io/gtm-eng-skills/deepline-analytics"><img src="https://agentmods.dev/badge/skills/getaero-io/gtm-eng-skills/deepline-analytics/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.

agentmods 80×15 button for deepline-analytics

Your own site · 80×15
<a href="https://agentmods.dev/skills/getaero-io/gtm-eng-skills/deepline-analytics"><img src="https://agentmods.dev/badge/skills/getaero-io/gtm-eng-skills/deepline-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,789 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 11 findings, 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 Prompt Injection · line 247
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 36
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 40
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 36
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 36
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 39
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 41
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 56
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 247
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 250
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 251
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00115 $0.03789
Opus 5 $0.00057 $0.01895
Sonnet 5 $0.00023 $0.00758
Haiku 4.5 $0.00012 $0.00379

Measured 11d ago against content hash 5a10609a4f7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

deepline-analytics 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 11d 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.

skills/deepline-analytics/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deepline Analytics

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.

Use this skill to answer customer analytics questions through Deepline's warehouse and semantic-layer tools. The goal is not just to run SQL; it is to preserve the customer's business definitions by starting from the semantic layer, validating the query path, and reporting exactly what metric definitions and filters were used.

Before You Start

Use deepline-gtm instead when the task is prospecting, enrichment, contact finding, outbound sequencing, personalization, or row-by-row lead/account research. Analytics questions ask about existing customer data: revenue, pipeline, funnel, conversion, retention, usage, calls, accounts, opportunities, or warehouse tables.

If Snowflake credentials or a semantic layer are missing, stop and report the setup blocker. Guessing table names or falling straight to raw SQL hides the actual problem and usually produces incorrect business definitions.

Deepline Internal Analytics Sources

For Deepline's own product, usage, and operational analytics, choose the source by question. Do not assume every Snowflake metric is dbt-modeled.

Source Tables / dataset Use for Caveats
Convex replica raw ledger AERO_DB.CONVEX_RAW.*, especially PLAY_RUNS and INGESTION_PLANES Persisted app state, play-run status, prebuilt/custom play identity, customer database inventory/state Loaded by the Convex-to-Snowflake replica. Authoritative historically, but can lag same-day activity. Raw tables may include sensitive app/customer fields.
Convex replica reporting views AERO_DB.CONVEX.USAGE_EVENTS, BA_USER, BA_MEMBER Tool/enrich calls, Deepline credits, user/org identity USAGE_EVENTS is the primitive billing/usage ledger. Provider spend must not be exposed. Some compatibility views are published selectively; verify freshness before relying on them.
Axiom production logs Dataset vercel Real-time play/run failures, CLI outcomes, provider/tool errors, log-message failure classes Real-time but log-shaped. Deduplicate run/request ids and compare against Snowflake when accuracy matters.
RudderStack product events RUDDERSTACK.EVENTS.* (TRACKS, PAGES, IDENTIFIES, event tables) Product journey, page views, signup/auth lifecycle, attribution Product analytics, not the operational ledger. Some browser events may be missing from Snowflake.
dbt / transformed analytics marts AERO_DB.ANALYTICS* schemas, for example ANALYTICS.FCT_CUSTOMER_JOURNEY, DIM_ACCOUNT, CUSTOMER_STREAM, and dbt views such as STG_* Business-facing GTM, customer journey, CRM, TAM, and modeled analytics definitions Use when the question asks for modeled business metrics. Do not use these as the default source for play-runtime health unless a modeled table is explicitly known to cover it.

Read the full file on GitHub · 277 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 277 lines · 115 tokens per session scan A 5a10609a4f7b

Subscribe to this mod's changes

deepline-analytics is a skill published in the GitHub repository getaero-io/gtm-eng-skills (58 stars, last pushed today), licensed MIT. It adds 115 tokens to every session and 3,789 once invoked, about $0.0006 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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