agentleFS
Sign inStart free
dRafaleDdRafaleD/cybersec-skills/skills/infrastructure/lean-cloud/SKILL.md

lean-cloud

Skill2 starsChanged 55 days agoMITView on GitHub

Runs token-efficient defensive cloud and IAM reviews for Cursor and Codex. Inventories wildcard policies, public buckets, IMDS, and admin roles in local Terraform, Bicep, CDK, and cloud JSON, then reports compact hardening fixes. Use when the user asks for cloud security, IAM, S3/GCS buckets, security groups, IRSA, metadata service, or least privilege. Do not use for attacking cloud accounts, stealing keys, or scanning other tenants.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not call cloud APIs against accounts the user did not open in this workspace.

    line 26
  2. Very specific:

    Default lean. deep only if asked.

    line 30
  3. Very specific:

    Run iam. Queue wildcards, Principal "*", public ACLs, admin managed policies, IMDS v1, 0.0.0.0/0 on data stores.

    line 40
  4. Distinctive:

    No exploit, privilege-escalation recipes, or key theft.

    line 47

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Lean Cloud

Defensive review of local cloud config. Scripts list risky IAM and storage lines; you confirm a few files; you patch only when asked.

Let SKILL_ROOT be the folder that contains this SKILL.md. Prefer python3; on Windows use py -3.

python3 "$SKILL_ROOT/scripts/lean_cloud.py" iam .
python3 "$SKILL_ROOT/scripts/lean_cloud.py" trim --chars 2500 path/to/out.txt

Do not call cloud APIs against accounts the user did not open in this workspace. Do not dump full IAM JSON.

Mode

Default lean. deep only if asked.

ModeBudget
leaniam + up to 8 slices; references/iam.md; ≤6 findings
standard+ references/storage.md; up to 16 slices; ≤10 findings
deepneeded refs only; ≤16 findings

Workflow

  1. Run iam. Queue wildcards, Principal "*", public ACLs, admin managed policies, IMDS v1, 0.0.0.0/0 on data stores.
  2. Slice-read the matching .tf / Bicep / SAM / K8s service-account annotations.
  3. Report least-privilege fixes. Stop unless asked to patch.

Hard rules

  • Workspace config only. No live sts, no enumerating someone else's org.
  • No exploit, privilege-escalation recipes, or key theft.
  • Cap quotes at 12 lines. Never print secret values.

Report template

## Lean-cloud (`<mode>`)

**Account/stack:** <name or folder> | **Budget:** files_read=<n>

| Sev | Location | Issue | Fix |
|-----|----------|-------|-----|
| HIGH | file:line | wildcard Action/Resource | split by service; constrain Resource |

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free