Defence Surface Coverage And Rail Placement logo

Defence Surface Coverage And Rail Placement

Community
Sahil-SS9
defence-surface-coverage-and-rail-placement

Map defences against every surface an agent touches and place each rail where the harm actually occurs, not where it is easiest to add.

Overview

PublisherSahil-SS9
Repositoryagent-personas
Skill namedefence-surface-coverage-and-rail-placement
Stars
67
Forks
4
Bundled files
1
LicenseMIT
Links
  • 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 Defence Surface Coverage And Rail Placement AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Sahil-SS9/agent-personas/tree/main/skills/defence-surface-coverage-and-rail-placement
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/defence-surface-coverage-and-rail-placement .claude/skills/defence-surface-coverage-and-rail-placement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Defence Surface Coverage And Rail Placement 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 Defence Surface Coverage And Rail Placement 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 Defence Surface Coverage And Rail Placement 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.

Defence surface coverage and rail placement

When to use

Designing a guardrail estate, or reviewing whether existing rails sit in the right place.

Procedure

  1. Build the matrix: harms down one axis, surfaces across the other (input, retrieval, tool args, tool results, outbound, execution, egress).
  2. Mark each cell covered, partially covered, or not covered. Not-covered cells are the work plan.
  3. Trace a canary through the pipeline: exposed, persisted, relayed, executed. Record which step your rail actually stops.
  4. For each rail, state the surface it reads, the surface it blocks, and the failure action.
  5. Re-check composition: does a rail that is correct at each step still hold across steps?

Decision rules

  • Placement is a claim that must be falsifiable. If you cannot state which step a rail stops, it is not placed.
  • Step-scoped monitors cannot detect violations that only exist compositionally across steps. Test for this explicitly.
  • Prefer the earliest point that can decide correctly; a rail after the side effect is an audit log.
  • A cell you mark covered needs execution evidence, not a configuration screenshot.

Pitfalls

  • Guardrailing the prompt while the retrieval path is unguarded.
  • Claiming tool-call coverage from a text-only rail.
  • Assuming that because every step is checked, the sequence is safe.

Done

The map shows no silently-empty cells, and every rail names its read surface, block surface, failure action, and the canary step it stops.

Bundled files

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

Frequently asked questions

What does the Defence Surface Coverage And Rail Placement AI skill do?

Map defences against every surface an agent touches and place each rail where the harm actually occurs, not where it is easiest to add.

Why use Defence Surface Coverage And Rail Placement on TypingMind?

Because you install it once and use it with any model. Defence Surface Coverage And Rail Placement 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 Defence Surface Coverage And Rail Placement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Sahil-SS9/agent-personas/tree/main/skills/defence-surface-coverage-and-rail-placement. 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 Defence Surface Coverage And Rail Placement?

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 Defence Surface Coverage And Rail Placement?

As many as you like. As long as a model supports skills, you can use Defence Surface Coverage And Rail Placement with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Defence Surface Coverage And Rail Placement 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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