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 sawrus/agent-guides --skill state-managementgit clone --depth 1 https://github.com/sawrus/agent-guidesWrote 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/sawrus/agent-guides/state-management)<a href="https://agentmods.dev/skills/sawrus/agent-guides/state-management"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/state-management.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.01078 |
| Opus 5 | $0.00012 | $0.00539 |
| Sonnet 5 | $0.00005 | $0.00216 |
| Haiku 4.5 | $0.00002 | $0.00108 |
Grade A, and why
state-management scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Terraform State Management
Expertise: Remote backends, state isolation, import, mv, rm, state surgery, cross-stack references.
When to load
When setting up a new Terraform backend, debugging state lock, importing manually-created resources, or safely moving resources between state files.
Backend Setup Patterns
# AWS S3 + DynamoDB lock
terraform {
backend "s3" {
bucket = "mycompany-terraform-state"
key = "${var.environment}/${var.component}/terraform.tfstate"
region = "us-east-1"
encrypt = true
kms_key_id = "alias/terraform-state"
dynamodb_table = "terraform-state-lock"
}
}
# GCS (GCP) — built-in locking, no separate lock table needed
terraform {
backend "gcs" {
bucket = "mycompany-terraform-state"
prefix = "${var.environment}/${var.component}"
}
}
# Terraform Cloud / HCP Terraform
terraform {
cloud {
organization = "mycompany"
workspaces { name = "production-network" }
}
}
State Isolation (per environment × component)
state/
├── staging/
│ ├── network/terraform.tfstate
│ ├── k8s-cluster/terraform.tfstate
│ └── databases/terraform.tfstate
└── production/
├── network/terraform.tfstate
├── k8s-cluster/terraform.tfstate
└── databases/terraform.tfstate
Rule: Staging and production must use separate state files (separate key/prefix, ideally separate bucket).
Cross-Stack Values (avoid terraform_remote_state)
# ✅ Publish outputs to SSM Parameter Store
resource "aws_ssm_parameter" "vpc_id" {
name = "/${var.environment}/network/vpc_id"
type = "String"
value = aws_vpc.this.id
}
# ✅ Consume in another stack via data source
data "aws_ssm_parameter" "vpc_id" {
name = "/${var.environment}/network/vpc_id"
}
resource "aws_subnet" "app" {
vpc_id = data.aws_ssm_parameter.vpc_id.value
}
State Import (bring unmanaged resource under TF control)
# 1. Write the resource block in .tf first
resource "aws_s3_bucket" "legacy" {
bucket = "my-legacy-bucket"
}
# 2. Import the existing resource
terraform import aws_s3_bucket.legacy my-legacy-bucket
# 3. Run plan — should show no changes if .tf matches reality
terraform plan # should be: "No changes."
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.
- 8d ago First seen · 160 lines · 24 tokens per session scan A f2835318784e
state-management is a skill published in the GitHub repository sawrus/agent-guides (17 stars, last pushed 7d ago), licensed MIT. It adds 24 tokens to every session and 1,078 once invoked, about $0.0001 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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