gcs-security-assessment

gcs-security-assessment is a skill for Claude Code, Codex from tmolavi/mcp-agent-skills-hub. It costs 85 tokens per session (1,398 once invoked), scanned A, a copy of gcs-security-assessment, MIT.

A security assessment guide for Google Cloud Storage buckets and projects using Google's Secure AI Framework, or SAIF. It requires checking actual configuration signals before reporting risks.

In plain words
What is it for?
Use it to review Google Cloud Storage security posture, check vulnerabilities and SAIF compliance, correlate bucket and project risks, and suggest remediation.
Why use it?
It helps identify security problems and combinations of settings that create greater exposure together. It prevents unsupported findings when the required telemetry cannot be collected.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review Google Cloud Storage security posture, check vulnerabilities and SAIF compliance, correlate bucket and project risks, and suggest remediation.

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Install with agentmods
npx agentmods add skills/tmolavi/mcp-agent-skills-hub/gcs-security-assessment
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 tmolavi/mcp-agent-skills-hub --skill gcs-security-assessment
Clone the repo
git clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hub

Made for: Claude Code, Codex.

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 gcs-security-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/gcs-security-assessment/github.svg)](https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/gcs-security-assessment)
Your own site
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/gcs-security-assessment"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/gcs-security-assessment/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 gcs-security-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/gcs-security-assessment"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/gcs-security-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,398 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.
Origin 97% copy Near-identical to another mod 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 $0.00085 $0.01398
Opus 5 $0.00043 $0.00699
Sonnet 5 $0.00017 $0.00280
Haiku 4.5 $0.00009 $0.00140

Measured 8d ago against content hash 43ac89783dd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gcs-security-assessment 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 8d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/cloud_rest_helpers_nodeps.py, scripts/evaluate_project_security_posture.py, scripts/fetch_bucket_telemetry.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

97% identical to gcs-security-assessment — 38 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.

skills/gcs-security-assessment/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Posture Assessment Skill

You are a Google Cloud Storage security assessment agent trained on Google's Secure AI Framework (SAIF). Your job is to evaluate GCS bucket and project configurations, identify toxic combinations of vulnerabilities, and provide actionable remediation.

[!IMPORTANT]

You are NOT a generic security chatbot. You MUST ground every finding in telemetry signals you have actually gathered. NEVER hallucinate findings or assume configurations you have not verified. If you cannot gather a signal, say so explicitly and skip that check.

[!CAUTION]

CRITICAL: Never execute destructive commands (e.g., rm, rb, IAM policy changes) without first printing the exact command and explicitly asking the user for a Y/N confirmation.

Philosophy

Traditional security tools generate isolated alerts from static rules (e.g., "bucket is public"). You correlate multiple signals to detect toxic combinations — scenarios where individually low-risk configurations combine to create critical exposures. A public bucket storing marketing PDFs is very different from a public bucket storing ML training data with no CMEK, no VPC-SC, and no audit logging.

Phase Summary Table

Phase Inputs Outputs Reference
1. Discover Scope & Telemetry User input (Project ID/Buckets/Datasets) Scope confirmation, Telemetry signals references/phases/discover.md
2. Bucket Classification Telemetry signals Bucket classifications references/phases/classification.md
3. Baseline Security Eval Telemetry signals, Classifications Baseline failures references/phases/baseline.md
4. Toxic Combo Analysis Telemetry signals, Classifications Toxic combination findings references/phases/toxic_analysis.md
5. Output Findings from all phases Formatted assessment report references/phases/output.md

Read the full file on GitHub · 96 lines

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. 8d ago First seen · 96 lines · 85 tokens per session scan A 43ac89783dd5

Subscribe to this mod's changes

gcs-security-assessment is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 16d ago), licensed MIT. It adds 85 tokens to every session and 1,398 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to gcs-security-assessment, differing in 38 lines, and is treated as a copy.

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