access-control

access-control is a skill for Claude Code from controlplane-com/ai-plugin. It costs 52 tokens per session (2,036 once invoked), scanned A, original, MIT.

A guide for managing access to Control Plane resources through policies, roles, and groups. It covers which users, teams, service accounts, or workloads can perform specific actions.

In plain words
What is it for?
Use it to configure or review permissions, role-based access control (RBAC), service accounts, group membership, policy bindings, and least-privilege access on Control Plane.
Why use it?
It helps avoid permission setups that look valid but grant no access because they target the wrong resource type, action, or principal.

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 Use it to configure or review permissions, role-based access control (RBAC), service accounts, group membership, policy bindings, and least-privilege access on Control Plane.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/access-control"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/access-control.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,036 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 $0.00052 $0.02036
Opus 5.5 $0.00021 $0.00814
Sonnet 5.5 $0.00010 $0.00407
Haiku 4.5 $0.00005 $0.00204

Measured 17d ago against content hash 1b3730ef369f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

access-control 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/access-control/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Access Control & Policies — Primary Skill

Tool availability: create_group, edit_group, create_service_account, update_service_account, add_key_to_service_account, and invite_user_to_org need ?toolsets=full; reconnect with it or use the CLI.

A policy targets one resource kind and binds permissions to principals (users, groups, service accounts, workload identities). The common failure is a policy that exists but grants nothing — a wrong targetKind, permission name, or principal link fails with no error — so read the policy back after writing.

The model

Layer Scope Controls
Billing-account roles account-wide (set on the billing account, separate from org policies) billing_admin, billing_viewer, org_creator — none grant org-resource access
Org policies per resource kind all day-to-day access

A caller is allowed an action when some policy on the resource's kind has a binding that lists that action (or a permission implying it) and names the caller — or a group the caller is in.

Policy anatomy

A policy = one targetKind + a target scope + bindings.

kind: policy
name: app-secret-access
targetKind: secret           # exactly one resource kind
targetLinks:                 # OR `target: all` OR `targetQuery:` (pick one)
  - //secret/database-url
bindings:                    # ≤ 50
  - permissions: [reveal, use]
    principalLinks:          # 1–200
      - //gvc/production/identity/app-identity

Limits: bindings ≤ 50; principalLinks 1–200 per binding; targetLinks ≤ 200. origin is read-only — default (yours) or builtin (locked; see Built-ins).

Target scope (pick one): target: all (org-wide roles) · targetLinks (specific resources) · targetQuery (tag query — see query-spec).

Valid target kinds: the targetKind enum accepts all 33 resource kinds, but only the 20 kinds with permission schemas (the ones get_permissions accepts) are meaningful targets: workload, secret, gvc, identity, image, org, policy, group, serviceaccount, user, volumeset, domain, location, ipset, mk8s, cloudaccount, agent, auditctx, quota, task.

Read the full file on GitHub · 114 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 · -41 lines 1b3730ef369f
  2. 1mo ago First seen · 155 lines · 52 tokens per session scan A d9559a23afe2

Subscribe to this mod's changes

access-control is a skill published in the GitHub repository controlplane-com/ai-plugin (11 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 2,036 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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