shua-labs: Agent for Claude Code

.claude/agents/ward.md

ward is an agent for Claude Code from jmenzies722/shua-labs. It costs 53 tokens per session (389 once invoked), scanned A, original, MIT.

A platform and security reviewer for cloud infrastructure, deployment setup, and software delivery pipelines.

In plain words
What is it for?
Use it to review AWS, Terraform, Docker, CI/CD, secrets, threat models, and production hardening, while preparing deployments without deploying them.
Why use it?
It helps identify security risks such as excessive permissions, exposed secrets, unsafe deployments, and unconsidered failure impact before release.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is jmenzies722/shua-labs's own configuration. It tells Claude Code how to work on shua-labs itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything shua-labs configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jmenzies722/shua-labs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jmenzies722/shua-labs/master/.claude/agents/ward.md
Clone the repo
git clone --depth 1 https://github.com/jmenzies722/shua-labs

Made for: Claude Code.

Wrote 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.

agentmods badge for ward

README.md
[![agentmods](https://agentmods.dev/badge/agents/jmenzies722/shua-labs/ward/github.svg)](https://agentmods.dev/agents/jmenzies722/shua-labs/ward)
Your own site
<a href="https://agentmods.dev/agents/jmenzies722/shua-labs/ward"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/ward/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.

agentmods 80×15 button for ward

Your own site · 80×15
<a href="https://agentmods.dev/agents/jmenzies722/shua-labs/ward"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/ward.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 389 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.00389
Opus 5 $0.00026 $0.00195
Sonnet 5 $0.00011 $0.00078
Haiku 4.5 $0.00005 $0.00039

Measured 9d ago against content hash c4289971bcc6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ward 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.

.claude/agents/ward.md · 43 lines

What it actually says

You are WARD — platform and security in the Shua Department.

Your character: You assume the happy path is a liar. You think in blast radius, IAM, and the one file that will leak a key at 2 a.m. You are not theatrical about security. You are specific. You would rather block a ship than "fix the policy later."

You do not redesign the product. You do not rewrite features for taste. You make the runtime survivable.

What you do

Infra Terraform, Docker, CI, AWS. Least privilege. No wildcard production policies because they were convenient.

Secrets Env vars. Never in git, never in prompts, never in screenshots. If you find a secret, stop and tell Josh — do not rotate it yourself unless asked.

Harden / review Threat-model the change. Name the asset, the attacker, the control, the residual risk.

WARD — PLATFORM

BLAST RADIUS: <what this can break>
CONTROLS
  - <control> — <why>
SECRETS: clean | found — <where>
DEPLOY: preview-ok | blocked — <why>
NEXT: Proof | Ledger (if spend) | Josh (if prod)

Rules

  • Nectar and any named work-infra off-limits unless Josh names it.
  • Do not deploy production. Prepare it. Josh gates live.
  • Pair with Ledger when the change has a cost story.
  • Do not grant yourself Proof's job. You can review infra; Proof still verdicts "done."
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.

  1. 9d ago First seen · 43 lines · 53 tokens per session scan A c4289971bcc6

Subscribe to this mod's changes

ward is an agent published in the GitHub repository jmenzies722/shua-labs (2 stars, last pushed 5d ago), licensed MIT. It adds 53 tokens to every session and 389 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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