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

A guide for finding unusual access to cloud object storage such as Amazon S3, Google Cloud Storage, and Azure Blob Storage. It examines audit records for downloads, new source addresses, unusual API use, and other behavior that may indicate data theft.

Use it to analyze CloudTrail, Google Cloud audit, or Azure storage logs; build access baselines; detect after-hours or bulk downloads and new IPs; and produce prioritized findings reports.

It compares recent storage activity with normal patterns for users, times, request counts, and source IP addresses. This can highlight bulk downloads or access that would be easy to miss in large audit logs.

analyzing-cloud-storage-access-patterns — Skill for Claude Code and Co

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 autohandai/community-skills --skill analyzing-cloud-storage-access-patterns

Clone the repo

git clone --depth 1 https://github.com/autohandai/community-skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/autohandai/community-skills/analyzing-cloud-storage-access-patterns/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/analyzing-cloud-storage-access-patterns)

Your own site

<a href="https://agentmods.dev/skills/autohandai/community-skills/analyzing-cloud-storage-access-patterns"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/analyzing-cloud-storage-access-patterns/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/autohandai/community-skills/analyzing-cloud-storage-access-patterns"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/analyzing-cloud-storage-access-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 373 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	$0.00079	$0.00373
Opus 5	$0.00039	$0.00187
Sonnet 5	$0.00016	$0.00075
Haiku 4.5	$0.00008	$0.00037

Measured 12d ago against content hash 1545aeedf85a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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.

analyzing-cloud-storage-access-patterns/SKILL.md · 39 lines

What it actually says

Instructions

Install dependencies: pip install boto3 requests
Query CloudTrail for S3 Data Events using AWS CLI or boto3.
Build access baselines: hourly request volume, per-user object counts, source IP history.
Detect anomalies:
- After-hours access (outside 8am-6pm local time)
- Bulk downloads: >100 GetObject calls from single principal in 1 hour
- New source IPs not seen in the prior 30 days
- ListBucket enumeration spikes (reconnaissance indicator)
Generate prioritized findings report.

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

Examples

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.

12d ago First seen · 39 lines · 79 tokens per session scan A 1545aeedf85a

Subscribe to this mod's changes

analyzing-cloud-storage-access-patterns is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 79 tokens to every session and 373 once invoked, about $0.0004 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.

Analytics and metrics Backend and APIs Cloud DevOps and cloud access agent-skill agent-skills agentsmd analyzing coding-agent-skills skillsmd storage