Use case · Free plugin

# I asked my agent to sort 40 new issues. *Now the model reads the groups and the counts.*

The free context-mode plugin lets your agent read a full issue list, a pull request list or hundreds of commits on your machine. A short script groups and counts them. On the Vite repository, 40 GitHub issues as JSON came to 178.7 KB, and the model read 0.8 KB.

[Install the free plugin](https://contextmode.ai/docs/engine/install) [Read the docs](https://contextmode.ai/docs/engine/security)

Sort the open bugs and pick three to fix first.

Full list Free plugin

Full list: every body, label and comment reaches the model.

gh issue list prints **178.7 KB** The model reads **178.7 KB**

Every later call sends it again.

Free plugin: a script groups and counts the issues on your machine.

The script reads **178.7 KB** The model reads **0.8 KB**

Sent to the model

- The groups by area, the likely duplicates and three picks

Kept on your machine

- The full JSON, searchable with ctx_search

The problem

## Each issue brings its body, labels and comments. *The list gets big.*

**Monday morning, 40 new issues**

You ask your agent to sort them by area, find the duplicates and pick the three to fix first.

**The JSON is large**

With bodies, labels, comments and reactions, the list is larger than most source files.

**Pull requests and commits too**

Check runs and `git log --stat` over hundreds of commits grow the same way.

How it works

## A script sorts the list. *The model reads the result.*

1. 01 **The command runs in the sandbox** The agent runs `gh` or `git` through `ctx_execute`, on your machine.
2. 02 **A short script groups and counts** It sorts the items by area, label or file. The model reads its print.
3. 03 **The full list stays searchable** The JSON stays in the local index. When you ask about one issue later, the agent searches for it and reads that issue.

Proof

## Three lists, measured. *The model reads under 1 KB of each.*

| List | Full output | The model read | Time |
| --- | --- | --- | --- |
| GitHub issues ( `gh issue list --json` , vitejs/vite, 40 items) | 178.7 KB | 0.8 KB | 65 ms |
| GitHub pull requests with checks ( `gh pr list --json` , vitejs/vite, 25 items) | 190.9 KB | 0.8 KB | 79 ms |
| Commit history with file stats ( `git log --stat` , 300 commits, vitejs/vite) | 160.5 KB | 0.3 KB | 66 ms |

Plugin benchmark of 2026-11-01 on an Apple M1 Pro, default settings, median of 5 runs. Raw data: [the result tables](https://contextmode.ai/benchmarks/engine/2026-11-01-usecases.md). Rerun it with the steps on [Benchmarks](https://contextmode.ai/docs/engine/benchmarks).

Prompts

## Give your agent *one of these.*

Prompt

```
List the open issues labelled bug. Group them by area, mark the likely duplicates, and tell me which three to fix first and why.
```

Prompt

```
Read the last 300 commits with file stats. Which files change together most often, and which areas changed the most this month?
```

Prompt

```
Check the open pull requests. Which ones have red checks, what is the first error in each, and which ones are ready to merge?
```

Products used

## What this *uses.*

**[The free plugin](https://contextmode.ai/engine)**

Open source. It runs in your agent, on your machine.

**[Sandbox](https://contextmode.ai/docs/engine/sandbox)**

Where `gh` and `git` run and what comes back.

**[Security](https://contextmode.ai/docs/engine/security)**

Your GitHub token stays in your own `gh` setup.

**Related**

[Free plugin resources](https://contextmode.ai/open-source/resources) · [Test and build logs](https://contextmode.ai/use-cases/test-logs) · [Docs research](https://contextmode.ai/use-cases/docs-research)

## Sort the whole list. *Read the short answer.*

Each agent installs the free plugin with its own install command.

[Install the free plugin →](https://contextmode.ai/docs/engine/install) [Source on GitHub →](https://github.com/mksglu/context-mode)