Borrowing it
Nothing to install: this file belongs to senaykt/iac-security-scan-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/senaykt/iac-security-scan-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/senaykt/iac-security-scan-skillsWrote 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.
[](https://agentmods.dev/instructions/senaykt/iac-security-scan-skills/agents-md)<a href="https://agentmods.dev/instructions/senaykt/iac-security-scan-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/senaykt/iac-security-scan-skills/agents-md/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.
<a href="https://agentmods.dev/instructions/senaykt/iac-security-scan-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/senaykt/iac-security-scan-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.02587 | $0.02587 |
| Opus 5 | $0.01293 | $0.01293 |
| Sonnet 5 | $0.00517 | $0.00517 |
| Haiku 4.5 | $0.00259 | $0.00259 |
Grade A, and why
iac-security-scan-skills AGENTS.md 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 9d ago.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- iac-security-scan-skills CLAUDE.md — 98% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IaC Security Scanner
AI-powered infrastructure-as-code security assessment. Detects privilege escalation paths, internet exposure, secrets leaks, logging blind spots, serverless attack surfaces, and chained attack paths across AWS Terraform and CloudFormation codebases.
How It Works
The assessment runs in three steps:
Step 1 — Codebase Analysis
The iac-analysis skill maps the full repository: technology stack, environments, resource inventory, architecture patterns, internet exposure points, trust boundaries, and cross-account relationships. It writes its findings to iac-scan/analysis.md, including a File Routing table that maps each IaC file to the downstream skills that need it.
Step 2 — Security Analysis (parallel)
All 6 security analysis skills run in parallel as subagents. Each skill receives only the IaC files routed to it by the File Routing table in iac-scan/analysis.md, plus the analysis context. Each skill follows a multi-pass approach: first discovery/enumeration, then contextual reasoning, then attack path construction.
| Skill | Focus | Output |
|---|---|---|
iac-iam |
IAM policies, privilege escalation, trust chains, PassRole abuse, cross-account trust | iac-scan/iam-results.md |
iac-network |
VPC topology, security groups, public exposure, segmentation, egress analysis | iac-scan/network-results.md |
iac-storage |
S3 buckets, RDS/DynamoDB, encryption, backup/DR, data classification, ransomware readiness | iac-scan/storage-results.md |
iac-secrets |
Hardcoded credentials, state file risks, CI/CD secret exposure, env var secrets | iac-scan/secrets-results.md |
iac-logging-monitoring |
CloudTrail gaps, GuardDuty coverage, detection blind spots, forensic readiness | iac-scan/logging-monitoring-results.md |
iac-serverless |
Lambda exposure, API Gateway auth, event injection, denial-of-wallet, Function URLs | iac-scan/serverless-results.md |
Step 2.5 — Attack Chain Correlation
After all Step 2 skills complete, the iac-attack-chain skill reads all Step 2 results and constructs composite, cross-domain attack paths that no individual skill can see. It identifies internet-to-admin compromise paths, ransomware propagation chains, data exfiltration routes, and performs minimum-cut analysis to find the smallest set of fixes that breaks the most attack paths. Output: iac-scan/attack-chain-results.md.
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.
- 9d ago First seen · 179 lines · 2,587 tokens per session scan A f21a0eb02552
iac-security-scan-skills AGENTS.md is an instructions file published in the GitHub repository senaykt/iac-security-scan-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 2,587 tokens to every session, about $0.0129 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.
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