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 selvarajmurugesan90/ops-engineering-skills --skill cloud-resource-post-provisioning-validation-and-drift-detectiongit clone --depth 1 https://github.com/selvarajmurugesan90/ops-engineering-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/selvarajmurugesan90/ops-engineering-skills/cloud-resource-post-provisioning-validation-and-drift-detection)<a href="https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/cloud-resource-post-provisioning-validation-and-drift-detection"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/cloud-resource-post-provisioning-validation-and-drift-detection/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/selvarajmurugesan90/ops-engineering-skills/cloud-resource-post-provisioning-validation-and-drift-detection"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/cloud-resource-post-provisioning-validation-and-drift-detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00154 | $0.04641 |
| Opus 5.5 | $0.00062 | $0.01856 |
| Sonnet 5.5 | $0.00031 | $0.00928 |
| Haiku 4.5 | $0.00015 | $0.00464 |
Grade A, and why
cloud-resource-post-provisioning-validation-and-drift-detection 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 1mo 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 — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloud Resource Post-Provisioning Validation and Drift Detection
Purpose
Infrastructure-as-code declares intent, but the running cloud account is
the only source of truth for what's actually there — and the two diverge
constantly: a console click-fix during an incident that never made it
back into Terraform, a policy exemption granted temporarily and
forgotten, a resource created by an entirely separate pipeline or a
different team that the "official" IaC state doesn't know about. Left
unchecked, this drift compounds until nobody can say with confidence
what a terraform apply will actually change, whether tag/policy
guardrails from the landing zone are still being enforced, or whether a
resource flagged in a security review was ever actually remediated. This
skill covers detecting that divergence — via terraform plan drift
detection, AWS Config conformance packs, Azure Policy compliance scans,
and tag/policy checks against a declared baseline — as a recurring
operational practice, distinct from validating a deploy's success at
deploy time (covered in the CI/CD-specific skills) and distinct from
designing the guardrails being checked against (covered in the
landing-zone skills).
When to use
- Confirming that infrastructure provisioned by a recent change (a Terraform apply, a manual console change, an incident hotfix) matches what was actually intended/declared.
- Running a scheduled or ad hoc drift check to catch out-of-band console
changes before they cause a surprising
terraform applydiff later. - Auditing tag/label compliance against the organization's tagging policy (see cloud-cost-finops-optimization) or Azure Policy/AWS Config/GCP Organization Policy compliance.
- Investigating "why does the console show a resource/setting Terraform
doesn't know about" or "why did
terraform planshow unexpected changes on an otherwise-untouched module." - Preparing evidence for a compliance/security review that guardrails (encryption-at-rest, public-access blocks, required tags) are actually enforced across the account/subscription, not just declared in policy documents.
- Validating, after a landing-zone or IAM-hardening change, that the new guardrail is actually taking effect on real resources.
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.
- 1mo ago First seen · 377 lines · 154 tokens per session scan A 7883c97e25fb
cloud-resource-post-provisioning-validation-and-drift-detection is a skill published in the GitHub repository selvarajmurugesan90/ops-engineering-skills (42 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 154 tokens to every session and 4,641 once invoked, about $0.0006 per session on Opus 5.5. 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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