ai-instruction-kit-mcp: Skill for Codex

.codex/skills/subagent-backend/SKILL.md

subagent-backend is a skill for Codex from radthenone/ai-instruction-kit-mcp. It costs 48 tokens per session (355 once invoked), scanned A, original, no licence file.

A backend code reviewer for use alongside a separate frontend reviewer in two Cursor windows. It supports checking the server-side part of an application during a combined frontend/backend review.

In plain words
What is it for?
Use it to review backend code while another review handles the frontend, especially when checking how both parts work together.
Why use it?
It helps divide a cross-part review between backend and frontend work without mixing the two areas in one window.

Skill for Codex

Written for Codex: installed under .codex/.

This is radthenone/ai-instruction-kit-mcp's own configuration. It tells Codex how to work on ai-instruction-kit-mcp 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 ai-instruction-kit-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to radthenone/ai-instruction-kit-mcp. 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/radthenone/ai-instruction-kit-mcp/master/.codex/skills/subagent-backend/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/radthenone/ai-instruction-kit-mcp

Made for: Codex.

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 subagent-backend

README.md
[![agentmods](https://agentmods.dev/badge/skills/radthenone/ai-instruction-kit-mcp/subagent-backend/github.svg)](https://agentmods.dev/skills/radthenone/ai-instruction-kit-mcp/subagent-backend)
Your own site
<a href="https://agentmods.dev/skills/radthenone/ai-instruction-kit-mcp/subagent-backend"><img src="https://agentmods.dev/badge/skills/radthenone/ai-instruction-kit-mcp/subagent-backend/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 subagent-backend

Your own site · 80×15
<a href="https://agentmods.dev/skills/radthenone/ai-instruction-kit-mcp/subagent-backend"><img src="https://agentmods.dev/badge/skills/radthenone/ai-instruction-kit-mcp/subagent-backend.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 355 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 unknown 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 $0.00355
Opus 5 $0.00024 $0.00178
Sonnet 5 $0.00010 $0.00071
Haiku 4.5 $0.00005 $0.00036

Measured 7d ago against content hash d544ecddc492, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

subagent-backend 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 7d 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.

.codex/skills/subagent-backend/SKILL.md · 33 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 7d ago First seen · 33 lines · 48 tokens per session scan A d544ecddc492

Subscribe to this mod's changes

subagent-backend is a skill published in the GitHub repository radthenone/ai-instruction-kit-mcp (0 stars, last pushed 7d ago), with no licence file. It adds 48 tokens to every session and 355 once invoked, about $0.0002 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 2026-09-05.

Related

Other skills, from other repositories

platform-apex-generate

Primary Apex authoring skill for class generation, refactoring, and review. ALWAYS ACTIVATE when the user mentions Apex, .cls, triggers, or asks to create/refactor a class (service, selector, domain, batch, queueable, schedulable, invocable, DTO, utility, interface, abstract, exception, REST resource). Use this skill…

forcedotcom/sf-skills · 122 tokens

flow-next-impl-review

Carmack-level implementation review of changes via the configured backend. Use when asked to review code or a diff in a flow-next repo.

gmickel/flow-next · 34 tokens

flow-next-resolve-pr

Resolve PR review feedback. Fetches unresolved threads, triages, fixes, replies and resolves via GraphQL. Use when asked to address review comments.

gmickel/flow-next · 36 tokens

api-contract-review

Use when auditing CloudBase cloud API wrappers, MCP tools, generated action metadata, or related docs for outdated or incorrect action names, parameters, casing, request shapes, or missing contract tests, especially during periodic quality review or before preparing corrective PRs.

TencentCloudBase/CloudBase-AI-Toolkit · 54 tokens

principle-model-the-domain

Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files. Encode the domain in a structure instead of scattered conditionals.

cursor/plugins · 39 tokens

api-reviewer

A review of an API contract, the agreed description of how software systems exchange requests, responses, events, or files.

TestAny-io/testany-agent-skills · 64 tokens