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 HybridAIOne/hybridclaw --skill ga4git clone --depth 1 https://github.com/HybridAIOne/hybridclawWrote 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/hybridaione/hybridclaw/ga4)<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/ga4"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/ga4/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/hybridaione/hybridclaw/ga4"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/ga4.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 103 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 118 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00041 | $0.01738 |
| Opus 5 | $0.00020 | $0.00869 |
| Sonnet 5 | $0.00008 | $0.00348 |
| Haiku 4.5 | $0.00004 | $0.00174 |
Grade A, and why
ga4 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.
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GA4
Use this skill for Google Analytics 4 reporting through the Google Analytics Data API: sessions, key events, revenue, traffic-source breakdowns, landing-page breakdowns, time-series queries, ad-hoc analyst reads, dashboards, scheduled reporting, ETL, and monitoring.
Scope
- run GA4
runReportrequests for a configured property - translate common English analyst requests into reviewable Data API payloads
- review GA4 request JSON before execution
- build traffic-source, channel-group, landing-page, daily trend, revenue, session, user, and key-event reports
- support delegated-user OAuth and service-account auth through the same gateway bearer handle contract
- keep auth-mode selection in tenant/runtime config, not in prompt logic
- measure skill run cost through normal HybridClaw
UsageTotals
Default Workflow
- Start with
report-planfor natural-language requests unless the user already supplied a GA4 Data API request JSON. - Review generated or user-supplied request JSON with
review-requestbefore a live call. - For live GA4 API calls inside HybridClaw, use
http_requestdirectly when available. Pass the emittedhttpRequestobject from the helper to the tool. - Use the helper for offline planning/review and for gateway-proxied execution
when
http_requestis unavailable:python3 skills/ga4/scripts/ga4.py ... - Treat all GA4 operations in this skill as read-only. Do not attempt Admin API mutations, property access changes, key-event changes, or tag changes.
Auth Contract
The skill supports two auth modes without exposing tokens or private keys to the model:
- delegated-user OAuth through a bearer secret handle
- Google service-account JWT bearer exchange through the gateway
Tenant config decides which mode to use.
Default delegated-user OAuth handle:
hybridclaw auth login google \
--client-id "<google-oauth-client-id>" \
--client-secret "<google-oauth-client-secret>" \
--account [email protected] \
--scopes "https://www.googleapis.com/auth/analytics.readonly"
hybridclaw auth status google
What ships with it
2 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.
- 11d ago First seen · 211 lines · 41 tokens per session scan A f3d5932958a1
ga4 is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,738 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.
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