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 agentmods add skills/is-bo/fullstack-forge-skill/google-analytics-data-api-basicsnpx skills add is-bo/fullstack-forge-skill --skill google-analytics-data-api-basicsgit clone --depth 1 https://github.com/is-bo/fullstack-forge-skillWrote 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/is-bo/fullstack-forge-skill/google-analytics-data-api-basics)<a href="https://agentmods.dev/skills/is-bo/fullstack-forge-skill/google-analytics-data-api-basics"><img src="https://agentmods.dev/badge/skills/is-bo/fullstack-forge-skill/google-analytics-data-api-basics.svg" alt="Measured on agentmods" 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 | $0.00111 | $0.02040 |
| Opus 5 | $0.00056 | $0.01020 |
| Sonnet 5 | $0.00022 | $0.00408 |
| Haiku 4.5 | $0.00011 | $0.00204 |
Grade A, and why
google-analytics-data-api-basics 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 2d 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.
This is a copy
100% identical to google-analytics-data-api-basics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Getting Started with Google Analytics Data API
The Google Analytics Data API v1beta provides programmatic access to Google Analytics report data. It allows you to build customized dashboards, automate reporting workflows, and integrate Google Analytics data into your enterprise applications.
Enabling the API via Cloud CLI
Before making API calls, ensure the Google Analytics Data API is enabled in your Google Cloud project.
If gcloud is not found, prompt the user to install the Google Cloud CLI before
running these commands.
-
Enable the API: Use the Cloud CLI (
gcloud) to enableanalyticsdata.googleapis.com.gcloud services enable analyticsdata.googleapis.com --quietWhy: Enabling the API ensures your Cloud project has the necessary quota and permissions allocated for running Google Analytics reports.
-
Verify API Enablement:
gcloud services list --enabled --filter="analyticsdata.googleapis.com"
Authentication
To authenticate your API requests, you must generate Application Default Credentials (ADC) and give your account the necessary scopes. Run the following command in your terminal:
gcloud auth application-default login --scopes="https://www.googleapis.com/auth/cloud-platform,https://www.googleapis.com/auth/analytics.readonly"
Why: This configures ADC in your local environment with the required Cloud Platform and Google Analytics read-only scopes, allowing the client library to automatically authenticate your requests.
Creating a Data API Report (v1beta)
To create a report, use the official Google Analytics Data client library.
Always prefer the v1beta version of the API for stability and access to
current Google Analytics reporting capabilities.
[!IMPORTANT] Mandatory Agent Directive: When the user selects or requires a specific programming language, read the corresponding client library setup reference guide in
references/listed below.
What ships with it
7 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.
- 2d ago First seen · 260 lines · 111 tokens per session scan A 7d06ef462908
google-analytics-data-api-basics is a skill published in the GitHub repository is-bo/fullstack-forge-skill (2 stars, last pushed today), licensed Apache-2.0. It adds 111 tokens to every session and 2,040 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to google-analytics-data-api-basics, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
architecture-decision-records
Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.
apify-competitor-intelligence
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
bugcrowd-reporting
Bugcrowd-specific reporting tactics complementing report-writing: VRT category search-and-fallback strategy when no exact match exists, manual severity override when VRT defaults underrate impact, severity-request paragraph as first body section, OOS-clause rebuttal templates (rate limiting on auth-flow endpoints…
peon-ping-log
Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".
bootstrap-local-dev
Set up a fresh authgear-server development environment from scratch. Use when onboarding a new contributor, setting up a new machine, or when the user says "set up local dev from scratch" / "first-time setup". Covers the asdf + Homebrew install path on macOS; Nix users should follow CONTRIBUTING.md directly.
conductor-implement
Executes the tasks defined in the specified track's plan. Use this to start or continue working on a feature, bug fix, or chore.