Ops Aws Audit

Organization

Lifecycle-Innovations-Limited

ops-aws-audit

OPS on-demand: This skill should be used when the user asks to "audit AWS", "unused AWS resources", or…

Overview

Publisher	Lifecycle-Innovations-Limited
Repository	`claude-ops`
Skill name	`ops-aws-audit`
Stars	543
Forks	64
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the Ops Aws Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-aws-audit
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-aws-audit

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/ops-aws-audit .claude/skills/ops-aws-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops Aws Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ops Aws Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ops Aws Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

What this does

Runs scripts/ops-aws-audit.sh — a read-only sweep that never mutates AWS. It inventories and analyses, then writes a severity-ranked report.

Checks include (2026 baseline):

IAM / credentials — root access key + root MFA, access keys older than AUDIT_KEY_AGE_DAYS (default 90), console users without MFA, and whether an IAM Access Analyzer (UNUSED_ACCESS) is configured.
EC2 / EBS — unattached volumes, gp2→gp3 candidates, unencrypted volumes, unassociated Elastic IPs, security groups open to 0.0.0.0/0 on SSH/RDP.
RDS — unencrypted or publicly-accessible instances, and orphaned manual snapshots whose source DB no longer exists.
S3 — account-level Block Public Access, per-bucket default encryption and lifecycle policies.
CloudWatch Logs — log groups with no retention (billed forever).
Lambda — deprecated/old runtimes.
Security posture — GuardDuty, Security Hub standards, Cost Anomaly Detection monitors, Compute Optimizer enrollment.
Cost — per-service Usage spend (RECORD_TYPE=Usage UnblendedCost) over the last AUDIT_COST_DAYS with the Δ vs the prior window. Credits mask net CE totals to ≈ $0 — this audit never uses unfiltered Blended/Unblended nets as burn.

Configuration (env, all optional)

Var	Default	Meaning
`AUDIT_PROFILE`	(unset)	Named AWS profile. Unset ⇒ standard chain (env keys / instance role / SSO).
`AUDIT_REGIONS`	`$AWS_REGION` or `us-east-1`	Comma-separated regions.
`AUDIT_OUTPUT_DIR`	`~/.aws-audit-history/audit-<ts>`	Where reports land.
`AUDIT_KEY_AGE_DAYS`	`90`	Active access-key age threshold.
`AUDIT_COST_DAYS`	`7`	Cost comparison window.

How to run

bash
# one region, current account

Load `ops-rules` before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If `AskUserQuestion` / `Workflow` are missing, follow Rule 10 in `ops-rules` (Hermes: numbered options / two-turn Telegram card; `delegate_task`).
bash "${CLAUDE_PLUGIN_ROOT}/scripts/ops-aws-audit.sh"

# multi-region + named profile
AUDIT_PROFILE=prod AUDIT_REGIONS=us-east-1,eu-central-1 \
  bash "${CLAUDE_PLUGIN_ROOT}/scripts/ops-aws-audit.sh"

Outputs in AUDIT_OUTPUT_DIR: report.md (human), findings.json (machine), raw/ (per-service snapshots + cost-delta.tsv), audit.log.

After the run, read findings.json and summarise CRITICAL/HIGH first.

Recurring schedule

--schedule installs a daily systemd --user timer via scripts/install-aws-audit-cron.sh (Linux; this box uses systemd, not launchd):

bash
bash "${CLAUDE_PLUGIN_ROOT}/scripts/install-aws-audit-cron.sh"
systemctl --user list-timers ops-aws-audit.timer

Dispatch to the background fleet instead:

bash
claude --bg --name aws-audit -- bash "${CLAUDE_PLUGIN_ROOT}/scripts/ops-aws-audit.sh" --quiet

Cleanup is human-gated (never automatic)

This skill only audits. To act on a finding:

Show the user the specific finding(s) and the exact aws command(s).
Get explicit per-batch approval (ok / yes / proceed).
For any deletion/rotation, snapshot state first; log resource IDs after.
Root access keys can only be removed from a root console login — flag it, do not attempt to "rotate root" from an IAM-user CLI session (that only rotates the IAM user's own key, not the root key).

Frequently asked questions

What does the Ops Aws Audit AI skill do?

OPS on-demand: This skill should be used when the user asks to "audit AWS", "unused AWS resources", or…

Why use Ops Aws Audit on TypingMind?

Because you install it once and use it with any model. Ops Aws Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ops Aws Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-aws-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ops Aws Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ops Aws Audit?

As many as you like. As long as a model supports skills, you can use Ops Aws Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ops Aws Audit AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

What this does

Configuration (env, all optional)

How to run

Recurring schedule

Cleanup is human-gated (never automatic)

Frequently asked questions

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