workload-security

workload-security is a skill for Claude Code from controlplane-com/ai-plugin. It costs 48 tokens per session (3,002 once invoked), scanned A, original, MIT.

Guidance for securing and hardening Control Plane workloads, including authentication, user permissions, health checks, load balancers, location headers, and shutdown behaviour.

In plain words
What is it for?
Configuring JWT or Envoy authentication, security contexts, readiness and liveness probes, direct load balancers, geo-location headers, and graceful shutdown.
Why use it?
It explains where these production settings belong and how they affect traffic, restarts, access, and deployment behaviour.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cpln plugin — 31 skills, 2 commands, 2 agents, 1 hook, 1 MCP server shipped together

Good fit Configuring JWT or Envoy authentication, security contexts, readiness and liveness probes, direct load balancers, geo-location headers, and graceful shutdown.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/controlplane-com/ai-plugin/workload-security
Install

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.

Any agent
npx skills add controlplane-com/ai-plugin --skill workload-security
Clone the repo
git clone --depth 1 https://github.com/controlplane-com/ai-plugin

Made for: Claude Code.

Or install cpln, the plugin that ships this one along with the rest of its 31 skills, 2 commands, 2 agents, 1 hook, 1 MCP server.

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 workload-security

README.md
[![agentmods](https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/workload-security/github.svg)](https://agentmods.dev/skills/controlplane-com/ai-plugin/workload-security)
Your own site
<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/workload-security"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/workload-security/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 workload-security

Your own site · 80×15
<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/workload-security"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/workload-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,002 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00048 $0.03002
Opus 5.5 $0.00019 $0.01201
Sonnet 5.5 $0.00010 $0.00600
Haiku 4.5 $0.00005 $0.00300

Measured 17d ago against content hash d70693075181, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workload-security 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 17d 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.

plugins/cpln/skills/workload-security/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workload Security & Production Hardening

Deep-dive companion to the workload skill, which owns workload types, the spec shape, and the readiness-vs-liveness model. Everything below is production-hardening detail for an existing workload.

Where settings live. Health probes go inline in containers[] via create_workload / update_workload. Every other block here — sidecar.envoy, loadBalancer, securityOptions, rolloutOptions — is set by its own configure_workload_* tool, a set-or-clear PATCH on that one field (remove: true clears it). Tool availability: these tools live in the full toolset profile; if one isn't advertised, reconnect with ?toolsets=full or use the CLI.

Health Probes

Define readinessProbe (gate traffic) and livenessProbe (restart on failure) as distinct probes in the container spec.

Defaults by workload type:

  • Serverless — a TCP readiness probe on the listening port is injected by default (plus default startup and liveness probes). Adequate, but an httpGet against a real endpoint catches more failure modes (DB unreachable, dependency timeout, deadlock).
  • Standard / Stateful — no probes by default; add them explicitly for any production workload.
  • Cron — probes are stripped (ignored).

No HTTP healthcheck? Use tcpSocket on the listening port as a baseline — don't run a long-lived workload probe-less.

Probe schema

Each probe takes exactly one of exec / grpc / tcpSocket / httpGet, plus these timing fields:

Field Range Default
initialDelaySeconds 0-600 10 (readiness) / 60 (liveness)
periodSeconds 1-600 10
timeoutSeconds 1-600 1
successThreshold 1-20 1
failureThreshold 1-20 3

httpGet omitting port defaults to the first container port; httpGet.scheme defaults to HTTP. Keep liveness looser than readiness (e.g. periodSeconds: 30) — restarts are expensive.

containers:
  - name: api
    image: //image/api:v1.0
    ports: [{ number: 8080, protocol: http }]
    readinessProbe:
      httpGet: { path: /healthz/ready, port: 8080 }
      initialDelaySeconds: 5
      failureThreshold: 3
    livenessProbe:
      httpGet: { path: /healthz/live, port: 8080 }
      initialDelaySeconds: 30
      periodSeconds: 30

Read the full file on GitHub · 186 lines

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. 17d ago Changed · -42 lines d70693075181
  2. 1mo ago First seen · 228 lines · 48 tokens per session scan A c12c22b29012

Subscribe to this mod's changes

workload-security is a skill published in the GitHub repository controlplane-com/ai-plugin (11 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 3,002 once invoked, about $0.0002 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.

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