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 G1Joshi/Agent-Skills --skill packergit clone --depth 1 https://github.com/G1Joshi/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/g1joshi/agent-skills/packer)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/packer"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/packer/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/g1joshi/agent-skills/packer"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/packer.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 | $0.00015 | $0.00525 |
| Opus 5 | $0.00008 | $0.00262 |
| Sonnet 5 | $0.00003 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade B, and why
packer scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
inline = ["sudo apt-get update", "sudo apt-get install -y nginx"] What it actually says
Packer
Packer automates the creation of Machine Images (AMI, VMDK, ISO) for multiple platforms from a single configuration. In 2025, HCL2 is the standard for configuration.
When to Use
- Immutable Infrastructure: Bake your app code into the OS image. Booting a pre-baked AMI is faster than running Ansible on boot.
- Golden Images: Create hardened, secure base images for your organization.
- Multi-Cloud: Build an AMI for AWS and a VHD for Azure from the same script.
Quick Start (HCL2)
source "amazon-ebs" "ubuntu" {
ami_name = "my-app-{{timestamp}}"
instance_type = "t3.micro"
region = "us-west-2"
source_ami_filter {
filters = {
name = "ubuntu/images/*ubuntu-jammy-22.04-amd64-server-*"
root-device-type = "ebs"
virtualization-type = "hvm"
}
most_recent = true
owners = ["099720109477"] # Canonical
}
ssh_username = "ubuntu"
}
build {
sources = ["source.amazon-ebs.ubuntu"]
provisioner "shell" {
inline = ["sudo apt-get update", "sudo apt-get install -y nginx"]
}
}
Core Concepts
Builders
Cloud-specific components (e.g., amazon-ebs, azure-arm) that launch a VM.
Provisioners
Tools to configure the VM (Shell, Ansible, Chef) before it is turned into an image.
Post-Processors
What to do with the image (Upload to S3, Vagrant Box, Docker Push).
Best Practices (2025)
Do:
- Use HCL2: JSON templates are legacy. HCL2 supports variables and logic.
- CI Integration: Run Packer in CI pipeline to produce new AMIs on every release.
- Cleanup: Ensure Packer cleans up temporary resources (Security Groups, Key Pairs) after build.
Don't:
- Don't bake secrets: Never put passwords in the image. Use Cloud-init or User Data to inject them at runtime.
References
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 · 73 lines · 15 tokens per session scan B a0f22fe10508
packer is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 525 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
shipping-and-launch
Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
opa-policies
Write OPA/Gatekeeper and Kyverno admission policies for Kubernetes security guardrails.
cost-optimization
Identify and reduce cloud infrastructure costs — right-sizing, reserved capacity, waste detection, tagging for cost attribution.
drift-detection
Detect, classify, and automate Terraform drift detection in CI — scheduled plans, drift metrics, cloud-native audit log correlation.
dns-management
DNS management for Kubernetes — CoreDNS tuning, external-dns automation, split-horizon DNS, and bare-metal DNS design.
tls-termination
Configure TLS termination with cert-manager — Let's Encrypt, internal CA via Vault PKI, wildcard certs, mTLS between services.