code-review-iac
Skill26 starsChanged 32 days agoMITView on GitHub
Security review of infrastructure-as-code — Terraform, CloudFormation, Ansible, Kubernetes/Helm manifests. Load when reviewing IaC in a repo/PR, on .tf/.yaml/.yml infra files, or "review our Terraform". Signals: *.tf, cloudformation/*.yaml, playbooks, k8s manifests, Helm charts, module registries.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- NoorQureshi/SploitAgentword for word, first seen Oct 11, 2026
- NoorQureshi/security-skillsword for word, first seen Oct 11, 2026
Other versions2 projects use a version of this.
Word for word · 2
- NoorQureshi/security-skills★ 27100% same
- NoorQureshi/SploitAgent★ 26100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository207 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ad-adcsSkill
- ad-dacl-abuseSkill
- ad-delegation-abuseSkill
- ad-kerberoastingSkill
- ad-pivot-arsenalSkill
- ai-agent-tool-abuseSkill
- ai-insecure-output-handlingSkill
- ai-jailbreakSkill
- ai-llm-dosSkill
- ai-mcp-securitySkill
- ai-model-extractionSkill
- ai-prompt-injectionSkill
- ai-rag-poisoningSkill
- ai-sensitive-data-disclosureSkill
- ai-supply-chainSkill
- ai-system-prompt-leakageSkill
- api-auth-attacksSkill
- api-bolaSkill
- api-fuzzingSkill
- api-graphqlSkill
- api-grpcSkill
- api-mass-assignmentSkill
- api-mongo-agg-facet-bypassSkill
- api-testing-checklistSkill
- api-versioningSkill
- automation-browserSkill
- automation-nuclei-templatesSkill
- automation-recon-pipelineSkill
- cloud-azureSkill
- cloud-container-escapeSkill
- cloud-docker-api-abuseSkill
- cloud-docker-registrySkill
- cloud-gcpSkill
- cloud-iam-privescSkill
- cloud-imds-ssrfSkill
- cloud-kubernetesSkill
- cloud-s3-exposureSkill
- code-review-cicdSkill
- code-review-cppSkill
- code-review-dangerous-sinksSkill
- code-review-dotnetSkill
- code-review-goSkill
- code-review-javaSkill
- code-review-methodologySkill
- code-review-nodejsSkill
- code-review-phpSkill
- code-review-pythonSkill
- code-review-rubySkill
- code-review-rustSkill
- code-review-secrets-detectionSkill
- code-review-soliditySkill
- crypto-oracle-attacksSkill
- crypto-rsa-attacksSkill
- ctf-cryptoSkill
- ctf-forensicsSkill
- ctf-methodologySkill
- ctf-pwnSkill
- ctf-revSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
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
- Very specific: line 45
Run checkov/tfsec/kics for a broad first pass.
- Very specific: line 48
Check state handling (remote, encrypted, access-controlled) and CI that applies it (code-review-cicd).
≈ “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.
Files
Infrastructure-as-code review
When it applies
Reviewing the code that provisions cloud/infra. IaC misconfigurations become real, exploitable
exposure the moment they apply — a single line can make a bucket public or an SG world-open — so
this pairs directly with the offensive cloud-* skills.
Why it works
IaC is declarative and repeatable: the same insecure default gets deployed everywhere it's
referenced. Scanning the definitions catches the exposure before it exists, and the patterns
(public access, 0.0.0.0/0, plaintext secrets, missing encryption/logging) are consistent across
providers.
Sinks & patterns (scan, then reason about blast radius)
- Public exposure: S3/GCS/Blob
acl = "public-read"/ public access blocks disabled; security groups / firewall rules0.0.0.0/0on 22/3389/DB ports; public RDS/ELB;publiclyAccessible=true. - Over-broad IAM:
Action:"*"/Resource:"*",iam:PassRolewildcards,AssumeRoletrust to"*", admin-equivalent managed policies attached broadly. - Secrets in code: hardcoded keys/passwords/tokens in
.tf/vars/playbooks; secrets committed in state or plan output;sensitive = falseon secret outputs. - Missing protections: encryption at rest/in transit off (EBS/S3/RDS/SNS), logging/audit disabled (CloudTrail, flow logs, GCP audit), no MFA-delete/versioning, public snapshots/AMIs.
- Kubernetes/Helm:
privileged: true,hostNetwork/hostPID, nosecurityContext/runAsNonRoot, wide RBAC (cluster-admin), secrets as env/plaintext,latestimages, no network policies. - Ansible:
shell/commandwith unquoted vars,no_logmissing on secret tasks, world-readable file modes,validate_certs: no.
Method
- Run
checkov/tfsec/kicsfor a broad first pass; they cover hundreds of provider rules. rg '0.0.0.0/0|public|Action.*\*|password|secret|privileged: true'and review each hit's context.- Trace module inputs/variables — an insecure default in a reused module multiplies everywhere.
- Check state handling (remote, encrypted, access-controlled) and CI that applies it (
code-review-cicd).
Gotchas
- A finding's severity depends on blast radius — a public dev sandbox ≠ a public prod data store.
- Scanners miss cross-resource logic (an SG that's fine until paired with a public subnet) — reason about the whole graph.
- Secrets belong in a manager (Vault/SSM/KMS), never in variables or state — flag any inline secret.
References
CIS Benchmarks (AWS/Azure/GCP/Kubernetes); Checkov/tfsec/KICS rule sets; provider well-architected security pillars.
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
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.

