Borrowing it
Nothing to install: this file belongs to davenportjw/agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davenportjw/agent-skills/main/.skills/gcp_auth/SKILL.mdgit clone --depth 1 https://github.com/davenportjw/agent-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/davenportjw/agent-skills/gcp_auth)<a href="https://agentmods.dev/skills/davenportjw/agent-skills/gcp_auth"><img src="https://agentmods.dev/badge/skills/davenportjw/agent-skills/gcp_auth/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/davenportjw/agent-skills/gcp_auth"><img src="https://agentmods.dev/badge/skills/davenportjw/agent-skills/gcp_auth.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 | $0.00021 | $0.00951 |
| Opus 5 | $0.00010 | $0.00476 |
| Sonnet 5 | $0.00004 | $0.00190 |
| Haiku 4.5 | $0.00002 | $0.00095 |
Grade A, and why
gcp_auth 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 10d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Cloud Authentication with Identity Platform and Cloud Run
User->>Frontend App (React): Log in via Firebase Auth
Frontend App (React)->>Frontend App (React): Get Firebase ID Token
Frontend App (React)->>Frontend Proxy (Express Server): API Request + Firebase ID Token (Authorization)
Frontend Proxy (Express Server)->>Frontend Proxy (Express Server): Move Firebase Token to X-Forwarded-Authorization
Frontend Proxy (Express Server)->>Frontend Proxy (Express Server): Fetch Cloud Run IAM Identity Token for Backend
Frontend Proxy (Express Server)->>Backend (Cloud Run): API Request + IAM Token (Authorization) + Firebase Token (X-Forwarded-Authorization)
Backend (Cloud Run)->>Backend (Cloud Run): Cloud Run IAM Proxy verifies IAM Token (Authorization)
Backend (Cloud Run)->>Backend (Cloud Run): API verifies Firebase Token (X-Forwarded-Authorization)
Backend (Cloud Run)->>Spanner (Database): Backend Service Account authorizes Spanner access
</context>
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.
- 10d ago First seen · 59 lines · 21 tokens per session scan A fe5dae4d53c7
gcp_auth is a skill published in the GitHub repository davenportjw/agent-skills (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 951 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 2026-08-31.
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