What is analyzing-cloud-storage-access-patterns?

A workflow for analyzing AWS S3, Google Cloud Storage, and Azure Blob Storage audit logs to find unusual access patterns. These services store files online, and audit logs record who accessed them, when, and how.

Use it to establish normal access patterns, detect suspicious storage activity, and produce a prioritized report of potential data-exfiltration events.

It helps identify possible data theft by highlighting unusual download volumes, new IP addresses, activity outside working hours, and spikes in file-listing or file-reading requests.

analyzing-cloud-storage-access-patterns — Skill for Claude Code by kil

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 killvxk/cybersecurity-skills-zh --skill analyzing-cloud-storage-access-patterns

Clone the repo

git clone --depth 1 https://github.com/killvxk/cybersecurity-skills-zh

Made for: Claude Code.

Or install cybersecurity-skills-zh, the plugin that ships this one along with the rest of its 58 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cloud-storage-access-patterns.svg)](https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cloud-storage-access-patterns)

Your own site

<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cloud-storage-access-patterns"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cloud-storage-access-patterns.svg" alt="Measured on agentmods" height="20"></a>

Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 408 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 original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00091	$0.00408
Opus 5	$0.00046	$0.00204
Sonnet 5	$0.00018	$0.00082
Haiku 4.5	$0.00009	$0.00041

Measured 8d ago against content hash 9913e4259d6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

analyzing-cloud-storage-access-patterns 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 1 executable file (scripts/agent.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.

skills/analyzing-cloud-storage-access-patterns/SKILL.md · 36 lines

What it actually says

说明

安装依赖：pip install boto3 requests
使用 AWS CLI 或 boto3 查询 CloudTrail 的 S3 Data Events。
建立访问基线：按小时请求量、每用户对象计数、源 IP 历史记录。
检测异常：
- 非工作时间访问（本地时间 8am-6pm 以外）
- 批量下载：单个主体在 1 小时内 >100 次 GetObject 调用
- 最近 30 天内未见过的新源 IP
- ListBucket 枚举峰值（侦察指标）
生成优先级排序的发现报告。

python scripts/agent.py --bucket my-sensitive-data --hours-back 24 --output s3_access_report.json

示例

CloudTrail S3 Data Event

{"eventName": "GetObject", "requestParameters": {"bucketName": "sensitive-data", "key": "financials/q4.xlsx"},
 "sourceIPAddress": "203.0.113.50", "userIdentity": {"arn": "arn:aws:iam::123456789012:user/analyst"}}

Files

What ships with it

3 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.

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.

8d ago First seen · 36 lines · 91 tokens per session scan A 9913e4259d6d

Subscribe to this mod's changes

analyzing-cloud-storage-access-patterns is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (44 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 91 tokens to every session and 408 once invoked, about $0.0005 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.

Analytics and metrics Security access analyzing storage