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.
npx skills add UnboundCompute/security-agent-skills --skill auditing-infrastructure-as-code-exposuresgit clone --depth 1 https://github.com/UnboundCompute/security-agent-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/skills/unboundcompute/security-agent-skills/auditing-infrastructure-as-code-exposures)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/auditing-infrastructure-as-code-exposures"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/auditing-infrastructure-as-code-exposures/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/skills/unboundcompute/security-agent-skills/auditing-infrastructure-as-code-exposures"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/auditing-infrastructure-as-code-exposures.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 | $0.00172 | $0.01964 |
| Opus 5 | $0.00086 | $0.00982 |
| Sonnet 5 | $0.00034 | $0.00393 |
| Haiku 4.5 | $0.00017 | $0.00196 |
Grade A, and why
auditing-infrastructure-as-code-exposures 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.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditing infrastructure-as-code exposures: what the definition would actually provision
Infrastructure-as-code is desired state, so the bug is not what a line says but what the resource becomes once variables resolve, modules compose, and account defaults apply. A bucket ACL that reads public may be overridden by an account block, and a security group open to the internet may sit in a private subnet nothing routes to. This audit reads the definition and asks one question per resource: once applied, does this provision a resource that violates its security baseline, least exposure, encryption on, least privilege, logging on, no plaintext secret. Everyone has the checklist; the work that matters is adjudicating the effective config and killing the finding that a different layer already neutralizes. Anchor on auditing what exists, not generating or refactoring it.
When to use
- You have Terraform, OpenTofu, CloudFormation, Bicep, or Pulumi definitions for infrastructure in scope.
- A resource block declares storage, a network rule, an identity or resource policy, encryption, or logging.
- You want to know which blocks would provision an insecure resource once applied, not just which lines look wrong.
Scope check
Audit only definitions for infrastructure you own or are authorized to assess, and never apply a definition or mutate a live account to test a finding, adjudicate on the resolved config, not by provisioning. If you can't name the authorization, stop.
The loop
-
Resolve the effective config first. For each resource, follow the variables, locals, modules, and any tfvars, parameter files, or workspace overrides that feed its arguments, and factor in account or region defaults (default encryption, a block-public-access setting, an org policy). The literal in the module is not what deploys; the resolved state is. Settle it before judging any field.
-
Check storage exposure. Look for a bucket or object ACL of public-read or public-read-write, a bucket or resource policy with a wildcard principal, or block-public-access disabled, then confirm no account-level block or explicit deny overrides it. Public storage is the effective policy, not the ACL.
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 · 133 lines · 172 tokens per session scan A ffba715cc144
auditing-infrastructure-as-code-exposures is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed yesterday), licensed MIT. It adds 172 tokens to every session and 1,964 once invoked, about $0.0009 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.
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