Borrowing it
Nothing to install: this file belongs to techequitycloud/rad-modules. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/techequitycloud/rad-modules/main/.agent/skills/repository-context/SKILL.mdgit clone --depth 1 https://github.com/techequitycloud/rad-modulesWrote 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/techequitycloud/rad-modules/repository-context)<a href="https://agentmods.dev/skills/techequitycloud/rad-modules/repository-context"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/repository-context/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/techequitycloud/rad-modules/repository-context"><img src="https://agentmods.dev/badge/skills/techequitycloud/rad-modules/repository-context.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 | $0.00035 | $0.02420 |
| Opus 5.5 | $0.00014 | $0.00968 |
| Sonnet 5.5 | $0.00007 | $0.00484 |
| Haiku 4.5 | $0.00003 | $0.00242 |
Grade A, and why
repository-context 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 25d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Context
rad-modules is the module catalog for RAD Lab — a collection of OpenTofu/Terraform modules that deploy educational Google Cloud and multi-cloud Kubernetes reference architectures. Each module is standalone and runnable through the interactive rad-launcher CLI or through the RAD platform's Cloud Build automation in rad-ui/automation/.
Top-Level Layout
rad-modules/
├── modules/ # Deployable OpenTofu modules (one per RAD Lab scenario)
│ ├── AKS_GKE/ # Azure AKS registered as a GKE Attached Cluster
│ ├── Bank_GKE/ # Bank of Anthos on a single GKE cluster
│ ├── EKS_GKE/ # AWS EKS registered as a GKE Attached Cluster
│ ├── Container_Migration/ # Migrate-to-Containers: source VMs → GKE
│ ├── Gemini_Enterprise/ # Gemini Enterprise app + ADK BigQuery agent (Cymbal Pools demo)
│ ├── Istio_GKE/ # GKE + open-source Istio (sidecar or ambient)
│ ├── MC_Bank_GKE/ # Bank of Anthos across multiple GKE clusters (MCI/MCS)
│ ├── Migration_Center/ # Migration Center discovery over GCE + AWS source VMs
│ └── VMware_Engine/ # Google Cloud VMware Engine private cloud + jump host
├── docs/
│ ├── labs/ # Per-module hands-on lab guides (one per module)
│ └── modules/ # Per-module long-form technical deep dives (one per module)
├── scripts/ # check_conventions.py, validate_all_modules.sh, standalone shell/Python demos
├── rad-launcher/ # Python CLI that drives `tofu` + GCS state for modules
└── rad-ui/
└── automation/ # Cloud Build YAMLs invoked by the RAD platform UI
├── check_step_arg_limits.py # lints the 10k step-arg cap, volume reuse, tfvars dumps
└── scripts/ # step logic extracted out of the YAML to stay under that cap
The root README.md, CHANGELOG.md, and LICENSE come from the OpenTofu project and are not module-specific.
Module Catalog
Each top-level modules/<Name>/ directory is an independent OpenTofu root module. There is no shared foundation module and no symlinks between modules — everything is self-contained. Differences are in which cloud providers they target and whether they install Kubernetes workloads.
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.
- 25d ago Changed dfd69c2ef7d2
- 26d ago Changed · +2 lines 51121fad1d68
- 1mo ago First seen · 115 lines · 35 tokens per session scan A a7efc7d2a7e5
repository-context is a skill published in the GitHub repository techequitycloud/rad-modules (2 stars, last pushed yesterday), licensed MPL-2.0. It adds 35 tokens to every session and 2,420 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…