Code Of Conduct Enforcement

Community

Sahil-SS9

code-of-conduct-enforcement

Handle conduct problems proportionally: identify the behaviour and the standard, apply the ladder, record privately — without redistributing a code text you cannot lawfully reprint.

Overview

Publisher	Sahil-SS9
Repository	`agent-personas`
Skill name	`code-of-conduct-enforcement`
Stars	67
Forks	4
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Sahil-SS9 on GitHub. Read the source before you install it.

Installation

Install the Code Of Conduct Enforcement AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Sahil-SS9/agent-personas/tree/main/skills/code-of-conduct-enforcement
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Sahil-SS9/agent-personas/tree/main/skills/code-of-conduct-enforcement

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Sahil-SS9/agent-personas.git /tmp/agent-personas
mkdir -p .claude/skills
cp -r /tmp/agent-personas/skills/code-of-conduct-enforcement .claude/skills/code-of-conduct-enforcement

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Of Conduct Enforcement in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Code Of Conduct Enforcement on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Code Of Conduct Enforcement is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Code of conduct enforcement

When to use

The problem is behaviour rather than code: harassment, sustained hostility, bad-faith engagement.

Procedure

Identify the behaviour and the specific standard it breaches.
Apply the enforcement ladder proportionally to the disruption.
Prefer private action; public enforcement invites an audience and escalates.
Record the decision, the standard cited, and the re-evaluation basis, in a place the maintainer controls.
Point participants to the canonical source for the adopted code text rather than reproducing it.

Decision rules

Enforce against behaviour, never against identity, seniority or technical standing.
Proportionality is relative to disruption, not to how much it annoyed the maintainer.
The maintainer is bound by the same standard.
Do not adopt, reprint or paraphrase a code text whose licence does not permit redistribution. Many widely used codes are non-OSI and use-restricted; link to them.

Decision-output clarification

Assess behaviour against the conduct policy even when the report concerns technical disagreement. Respectful disagreement and maintainer annoyance are not violations. Keep the criterion (behaviour) separate from the topic (technical disagreement); do not infer enforcement from either topic or tone.

Before returning a structured result, check that each field answers the requested proposition, uses the requested types and vocabulary, and agrees with the explanation. Saved evidence is not an action performed by you; a recommended next step is not an executed action.

Pitfalls

Enforcing in public and turning a moderation decision into a spectacle.
Using a code of conduct to settle a technical disagreement.
Punishing a first offence while tolerating a repeat from a senior contributor.

Done

The action states the behaviour, the standard and the proportionality, and it is recorded where the maintainer can re-evaluate it.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

NOTICE1 KB

Frequently asked questions

What does the Code Of Conduct Enforcement AI skill do?

Handle conduct problems proportionally: identify the behaviour and the standard, apply the ladder, record privately — without redistributing a code text you cannot lawfully reprint.

Why use Code Of Conduct Enforcement on TypingMind?

Because you install it once and use it with any model. Code Of Conduct Enforcement is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Code Of Conduct Enforcement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Sahil-SS9/agent-personas/tree/main/skills/code-of-conduct-enforcement. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Code Of Conduct Enforcement?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Code Of Conduct Enforcement?

As many as you like. As long as a model supports skills, you can use Code Of Conduct Enforcement with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Code Of Conduct Enforcement AI skill free?

Yes. It is published on GitHub by Sahil-SS9 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Code of conduct enforcement

When to use

Procedure

Decision rules

Decision-output clarification

Pitfalls

Done

Bundled files

Frequently asked questions

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