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 Aidas-dev/k8s-agent-skills --skill harbor-terraformgit clone --depth 1 https://github.com/Aidas-dev/k8s-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/aidas-dev/k8s-agent-skills/harbor-terraform)<a href="https://agentmods.dev/skills/aidas-dev/k8s-agent-skills/harbor-terraform"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/harbor-terraform/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/aidas-dev/k8s-agent-skills/harbor-terraform"><img src="https://agentmods.dev/badge/skills/aidas-dev/k8s-agent-skills/harbor-terraform.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 | $0.00051 | $0.01921 |
| Opus 5 | $0.00026 | $0.00960 |
| Sonnet 5 | $0.00010 | $0.00384 |
| Haiku 4.5 | $0.00005 | $0.00192 |
Grade A, and why
harbor-terraform 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 12d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Harbor Terraform Provider
Provider: goharbor/harbor. Latest: v3.12.0 (Jun 4, 2026). Registry: v3.11.6 (Apr 22, 2026). Source: github.com/goharbor/terraform-provider-harbor.
Tested against: Harbor 2.13–2.15, Terraform 1.12–1.14.
Provider Config
terraform {
required_providers {
harbor = {
source = "goharbor/harbor"
version = "~> 3.11"
}
}
}
provider "harbor" {
url = "https://harbor.example.com"
username = "admin"
password = var.harbor_password
insecure = false # Verify TLS (default: true — must explicitly set false)
}
Auth Methods
| Method | Fields | Env Var |
|---|---|---|
| Basic | username + password |
HARBOR_USERNAME, HARBOR_PASSWORD |
| Bearer Token | bearer_token |
— |
| OIDC Session | session_id |
HARBOR_SESSION_ID |
api_version (default: 2) — use 1 for Harbor pre-2.0. robot_prefix — auto-detected via admin API unless explicitly set.
Resources (20)
Projects
resource "harbor_project" "myapp" {
name = "myapp"
public = false
vulnerability_scanning = true
vulnerability_scanner = "Trivy" # v3.11.6+: per-project scanner override
enable_content_trust = true # Notary
enable_content_trust_cosign = false # Cosign signatures
auto_sbom_generation = true # Harbor 2.11+ SBOM on push
storage_quota = 100 # GB
deployment_security = "high" # Block images >= this severity
cve_allowlist = ["CVE-1234"]
force_destroy = false # Allow destroy even with repos
}
# Proxy cache project
resource "harbor_registry" "dockerhub" {
provider_name = "docker-hub"
name = "dockerhub-proxy"
endpoint_url = "https://hub.docker.com"
}
resource "harbor_project" "proxy" {
name = "docker-proxy"
registry_id = harbor_registry.dockerhub.registry_id
proxy_speed_kb = -1
proxy_cache_local_on_not_found = true # Harbor 2.15.1+
}
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.
- 12d ago First seen · 234 lines · 51 tokens per session scan A fbdd37f09aa2
harbor-terraform is a skill published in the GitHub repository Aidas-dev/k8s-agent-skills (2 stars, last pushed 28d ago), licensed MIT. It adds 51 tokens to every session and 1,921 once invoked, about $0.0003 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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