Alex_Plug_In: Skill for Claude Code

.github/skills/content-safety-implementation/SKILL.md

content-safety-implementation is a skill for Claude Code, Codex from fabioc-aloha/Alex_Plug_In. It costs 24 tokens per session (1,771 once invoked), scanned B, original, no licence file.

Guidance for integrating Azure Content Safety, a service that checks potentially harmful text or content, into an application.

In plain words
What is it for?
It is for building multi-layer content filters, validating generated output, and adding safety controls around Azure Content Safety API calls.
Why use it?
It helps combine content checks, output validation, and operational safeguards into a broader safety process.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

This is fabioc-aloha/Alex_Plug_In's own configuration. It tells Claude Code and Codex how to work on Alex_Plug_In 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 Alex_Plug_In configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fabioc-aloha/Alex_Plug_In. 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/fabioc-aloha/Alex_Plug_In/main/.github/skills/content-safety-implementation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Plug_In

Made for: Claude Code, 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 content-safety-implementation

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabioc-aloha/alex_plug_in/content-safety-implementation/github.svg)](https://agentmods.dev/skills/fabioc-aloha/alex_plug_in/content-safety-implementation)
Your own site
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_plug_in/content-safety-implementation"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_plug_in/content-safety-implementation/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 content-safety-implementation

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_plug_in/content-safety-implementation"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_plug_in/content-safety-implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,771 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 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 $0.00024 $0.01771
Opus 5 $0.00012 $0.00886
Sonnet 5 $0.00005 $0.00354
Haiku 4.5 $0.00002 $0.00177

Measured 5d ago against content hash e127a0cc17ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

content-safety-implementation scanned grade B with 2 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 5d 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.

Instruction-override phrasingmediumPrompt injection

Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.

| Role override | High | "ignore previous instructions", "you are now" |

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Asks the agent to reveal its instructionslowSystem prompt leakage

Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.

| Data extraction | High | "reveal the", "output your system prompt" |

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

.github/skills/content-safety-implementation/SKILL.md · 228 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 5d ago First seen · 228 lines · 24 tokens per session scan B e127a0cc17ed

Subscribe to this mod's changes

content-safety-implementation is a skill published in the GitHub repository fabioc-aloha/Alex_Plug_In (5 stars, last pushed 4mo ago), with no licence file. It adds 24 tokens to every session and 1,771 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (instruction-override phrasing, asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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