The 3 Clis — Git skill for Claude Code
Three agent-CLI harnesses (GitHub Copilot CLI, OpenAI Codex CLI, Claude Code) that take a framework pack over HTTP and project it into a per-container workspace: HVE, GSD and Superpowers, with Codex a.
How to install The 3 Clis
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open kevinondanet/the-3-clis and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What The 3 Clis does
Three agent-CLI harnesses (GitHub Copilot CLI, OpenAI Codex CLI, Claude Code) that take a framework pack over HTTP and project it into a per-container workspace: HVE, GSD and Superpowers, with Codex and Claude on Microsoft Foundry.
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README
CLI harness samples: framework packs over HTTP, one container per harness
[](https://github.com/kevinondanet/the-3-clis/actions/workflows/build.yml)     
Three minimal harness services (.NET 10 minimal API), one per agent CLI. Each runs in its own container with a `/workspace`, and a framework is installed by uploading a zip **framework pack** to `PUT /api/v1/harness/framework-pack`. The service extracts the zip and projects it into the workspace the ChevBench way: framework files verbatim at the CLI's own discovery paths, a marker region merged into the CLI's repo-instructions file, one `.gitignore` line, and (Claude) the plugin hook merged into `.claude/settings.json`. No CLI plugin installer is ever run, and the framework stays on once installed: the workflow is info, PUT pack, verify, run.
| Sample | Harness (CLI) | Framework pack | Model | Port |
|---|---|---|---|---|
copilot-hve/ |
GitHub Copilot CLI 1.0.89 | HVE 3.2.2, rpi component set (29 files) |
gpt-5-mini (Copilot's catalogue) |
8081 |
codex-gsd/ |
OpenAI Codex CLI 0.159.0 | GSD 1.14.0, help component set |
gpt-5.4-mini on Microsoft Foundry |
8082 |
claude-superpowers/ |
Claude Code 2.1.284 | Superpowers 6.4.2, all 15 skills | claude-sonnet-4-6 on Microsoft Foundry |
8083 |
Model fallbacks: the Foundry resource `myfoundry0406` has no `gpt-5-mini` and no Sonnet 5.6 deployment; `gpt-5.4-mini` is its cheapest mini model and
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