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 snyk/studio-recipes --skill drift-detectorgit clone --depth 1 https://github.com/snyk/studio-recipesWrote 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/snyk/studio-recipes/drift-detector)<a href="https://agentmods.dev/skills/snyk/studio-recipes/drift-detector"><img src="https://agentmods.dev/badge/skills/snyk/studio-recipes/drift-detector/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/snyk/studio-recipes/drift-detector"><img src="https://agentmods.dev/badge/skills/snyk/studio-recipes/drift-detector.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 | $0.00083 | $0.02088 |
| Opus 5 | $0.00042 | $0.01044 |
| Sonnet 5 | $0.00017 | $0.00418 |
| Haiku 4.5 | $0.00008 | $0.00209 |
Grade A, and why
drift-detector 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 — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infrastructure Drift Detector
Detect, track, and resolve infrastructure drift between Terraform state and actual cloud resources to maintain Infrastructure as Code integrity.
Core Principle: Your cloud should match your code.
Note: This skill uses snyk iac describe CLI command (requires shell execution).
Quick Start
# Basic drift scan against a local Terraform state file
snyk iac describe --from=tfstate://terraform.tfstate
# Output as JSON for further analysis
snyk iac describe --from=tfstate://terraform.tfstate --json > drift-report.json
Prerequisites
- Terraform project with state file (local or remote)
- Cloud provider credentials configured
snykCLI installed- Network access to cloud APIs
Supported Cloud Providers
| Provider | Setup |
|---|---|
| AWS | AWS credentials (profile, env vars, or IAM role) |
| Azure | Azure CLI login or service principal |
| GCP | Application default credentials or service account |
For a full list of supported resource types per provider, see SERVICES.md.
Phase 1: Setup
Goal: Configure drift detection environment.
Step 1.1: Verify Terraform State
Check for Terraform state:
Local state:
ls terraform.tfstate
Remote state (S3 backend):
terraform {
backend "s3" {
bucket = "my-terraform-state"
key = "state/terraform.tfstate"
region = "us-east-1"
}
}
Step 1.2: Verify Cloud Credentials
AWS:
aws sts get-caller-identity
Azure:
az account show
GCP:
gcloud auth application-default print-access-token
Phase 2: Run Drift Detection
Goal: Identify differences between IaC and actual cloud state.
Step 2.1: Basic Drift Scan
snyk iac describe --from=tfstate://terraform.tfstate
Step 2.2: Remote State Scan
For S3 backend:
snyk iac describe --from=tfstate+s3://my-bucket/state.tfstate
For Terraform Cloud:
snyk iac describe \
--from=tfstate+tfcloud://organization/workspace \
--tfc-token=$TFC_TOKEN
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 359 lines · 83 tokens per session scan A bb569f1f4404
drift-detector is a skill published in the GitHub repository snyk/studio-recipes (62 stars, last pushed 5d ago), licensed Apache-2.0. It adds 83 tokens to every session and 2,088 once invoked, about $0.0004 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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