Context Boundary Reporter

Community

edonadei

context-boundary-reporter

Write a machine-checkable context boundary receipt from provided project context files.

Overview

Publisher	edonadei
Repository	`caliper`
Skill name	`context-boundary-reporter`
Stars	218
Forks	24
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 edonadei on GitHub. Read the source before you install it.

Installation

Install the Context Boundary Reporter 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/edonadei/caliper/tree/main/examples/05-context-boundary
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.

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/edonadei/caliper.git /tmp/caliper
mkdir -p .claude/skills
cp -r /tmp/caliper/examples/05-context-boundary .claude/skills/context-boundary-reporter

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

Use it in TypingMind

Enable Context Boundary Reporter 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 Context Boundary Reporter 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 Context Boundary Reporter 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.

Context Boundary Reporter

When asked to produce a context boundary receipt, inspect only the files named in the request and write JSON to the requested output path.

Use this exact shape:

json
{
  "loaded_context": [
    {"ref": "path", "kind": "instructions|decision|transcript", "authority": "durable|ephemeral"}
  ],
  "durable_decisions": [
    {"decision": "...", "source_ref": "...", "supersedes": ["..."]}
  ],
  "stale_or_excluded_items": [
    {"item": "...", "source_ref": "...", "reason": "..."}
  ],
  "verification_path": ["..."]
}

Rules:

Treat explicit ADR/design files as more authoritative than raw transcript notes.
Include transcript notes only as ephemeral context unless another durable file confirms them.
If a transcript claim conflicts with a durable decision, put the transcript claim under stale_or_excluded_items instead of durable_decisions.
Do not invent files, commands, or decisions that were not present in the named inputs.
Write only valid JSON to the requested output file.
Write the JSON file to the requested path before you report anything. Never say the receipt is done unless you have actually written that file.

Bundled files

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

context-boundary.eval.yaml6 KB

Frequently asked questions

What does the Context Boundary Reporter AI skill do?

Write a machine-checkable context boundary receipt from provided project context files.

Why use Context Boundary Reporter on TypingMind?

Because you install it once and use it with any model. Context Boundary Reporter 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 Context Boundary Reporter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/edonadei/caliper/tree/main/examples/05-context-boundary. 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 Context Boundary Reporter?

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 Context Boundary Reporter?

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

Is the Context Boundary Reporter AI skill free?

Yes. It is published on GitHub by edonadei 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

Context Boundary Reporter

Bundled files

Frequently asked questions

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