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 Ertinox7711/SGRR-AGI-V2 --skill google-analyticsgit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/google-analytics)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/google-analytics"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/google-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.
<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/google-analytics"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/google-analytics.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 | $0.00084 | $0.02965 |
| Opus 5 | $0.00042 | $0.01483 |
| Sonnet 5 | $0.00017 | $0.00593 |
| Haiku 4.5 | $0.00008 | $0.00297 |
Grade C, and why
google-analytics scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s -X POST "..." | python3 -c " Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://oauth2.googleapis.com/token" \ This is a copy
100% identical to google-analytics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Analytics (GA4)
Pull reports and insights from GA4 using the Google Analytics Data API.
Prerequisites
Requires Google OAuth credentials:
GOOGLE_CLIENT_IDGOOGLE_CLIENT_SECRET- A valid OAuth access token (refreshed as needed)
Set credentials in .env, .env.local, or ~/.claude/.env.global.
Getting an Access Token
# Step 1: Get authorization code (user must visit this URL in browser)
echo "https://accounts.google.com/o/oauth2/v2/auth?client_id=${GOOGLE_CLIENT_ID}&redirect_uri=urn:ietf:wg:oauth:2.0:oob&scope=https://www.googleapis.com/auth/analytics.readonly&response_type=code&access_type=offline"
# Step 2: Exchange code for tokens
curl -s -X POST "https://oauth2.googleapis.com/token" \
-d "code={AUTH_CODE}" \
-d "client_id=${GOOGLE_CLIENT_ID}" \
-d "client_secret=${GOOGLE_CLIENT_SECRET}" \
-d "redirect_uri=urn:ietf:wg:oauth:2.0:oob" \
-d "grant_type=authorization_code"
# Step 3: Refresh an expired token
curl -s -X POST "https://oauth2.googleapis.com/token" \
-d "refresh_token={REFRESH_TOKEN}" \
-d "client_id=${GOOGLE_CLIENT_ID}" \
-d "client_secret=${GOOGLE_CLIENT_SECRET}" \
-d "grant_type=refresh_token"
Store the refresh token securely. The access token expires after 1 hour.
Finding Your GA4 Property ID
curl -s -H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
"https://analyticsadmin.googleapis.com/v1beta/accountSummaries" \
| python3 -c "
import json, sys
data = json.load(sys.stdin)
for acct in data.get('accountSummaries', []):
for prop in acct.get('propertySummaries', []):
print(f\"{prop['property']} | {prop.get('displayName','')} | Account: {acct.get('displayName','')}\")
"
The property ID format is properties/XXXXXXXXX.
API Base
POST https://analyticsdata.googleapis.com/v1beta/{property_id}:runReport
All report requests use POST with a JSON body. Always include Authorization: Bearer {ACCESS_TOKEN}.
1. Traffic Overview Report
Get sessions, users, page views, and engagement rate over a date range.
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 · 404 lines · 84 tokens per session scan C 5e1dc8f488dd
google-analytics is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 2d ago), licensed MIT. It adds 84 tokens to every session and 2,965 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 100% identical to google-analytics, differing in 0 lines, and is treated as a copy.
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