CLI-Anything for Reasonix

Use this skill when the user wants Reasonix to act like the CLI-Anything builder.

Before implementation, use the full methodology source of truth when available:

1. If the current workspace is the CLI-Anything repository, read cli-anything-plugin/HARNESS.md.
2. If Reasonix is running from this adapter directory, also check ../cli-anything-plugin/HARNESS.md.
3. If neither local file is available, clone or download cli-anything-plugin from https://github.com/HKUDS/CLI-Anything/tree/main/cli-anything-plugin, then use HARNESS.md and the resources around it from that folder.
4. Only if local and network retrieval both fail, follow the condensed rules below.

Inputs

Accept either:

• A local source path such as ./gimp or /path/to/software
• A GitHub repository URL

Derive the software name from the local directory name after cloning if needed.

Reasonix Tool Bindings

Reasonix agents build harnesses by combining these built-in tools:

Reasonix Tool	Role in Harness Workflow
bash	Run shell commands, install packages, execute CLI tools, run tests, clone repos
write_file	Generate Python files (Click CLI, backend modules, tests, setup.py)
edit_file	Make targeted edits to generated code (single replacement)
multi_edit	Apply multiple atomic edits to a single file in one pass
read_file	Read target software source files, existing harness code, test results
grep	Search for patterns across the target software codebase (APIs, CLI tools, data models)
glob	Find files matching patterns in the source tree (*.py, *.xml, *.json, etc.)
ls	List directory contents to understand project structure
mcp__codegraph__search / mcp__codegraph__context	Optional code graph analysis when CodeGraph is enabled (Reasonix strips the codegraph_ raw prefix, so the model-visible names omit it)
web_fetch	Fetch documentation, API references, or remote files from the web

Recommended Workflow with Reasonix Tools

Phase 1 (Analysis) — Use ls + glob to survey the source tree, grep to find API surfaces and CLI entry points, and read_file to inspect key files. When CodeGraph is enabled and its tools are available, use mcp__codegraph__search and mcp__codegraph__context for deeper symbol and architecture analysis.

Phase 2-3 (Design & Implementation) — Use write_file to create new harness files, edit_file / multi_edit to refine generated code, and bash to run pip install -e . for installation.

Phase 4-6 (Testing) — Use bash to run pytest and capture results, read_file to inspect test output, and write_file to update TEST.md.

Phase 7 (Packaging) — Use write_file for setup.py, bash for pip install -e . and which cli-anything-<software> verification.

Step Budget

A full harness build typically requires 25–40 tool-call rounds (architecture inspection, 10+ file writes, installation, and multiple test runs). When invoked via run_skill, the subagent inherits a step budget derived from the parent agent's agent.max_steps setting in reasonix.toml:

• If max_steps = 0 (the default, meaning unlimited), the subagent also runs with no step cap — this is the recommended configuration for the CLI-Anything workflow.
• If max_steps is set to a finite value, the subagent receives half that budget (minimum 5), which may truncate a complex build before completion.

Users who have configured a finite max_steps should ensure it is set to 0 or a sufficiently high value (e.g., 64 or more) before running a CLI-Anything build, so the subagent has enough rounds to complete all seven phases.

Modes

Build

Use when the user wants a new harness.

Produce this structure:

<repo-root>/
├── skills/
│   └── cli-anything-<software>/
│       └── SKILL.md
└── <software>/
    └── agent-harness/
        ├── <SOFTWARE>.md
        ├── setup.py
        └── cli_anything/
            └── <software>/
                ├── README.md
                ├── __init__.py
                ├── __main__.py
                ├── <software>_cli.py
                ├── core/
                ├── utils/
                ├── tests/
                └── skills/
                    └── SKILL.md

Implement a stateful Click CLI with:

• one-shot subcommands
• REPL mode as the default when no subcommand is given
• --json machine-readable output
• session state with undo/redo where the target software supports it

Refine

Use when the harness already exists.

First inventory current commands and tests, then do gap analysis against the target software. Prefer:

• high-impact missing features
• easy wrappers around existing backend APIs or CLIs
• additions that compose well with existing commands

Do not remove existing commands unless the user explicitly asks for a breaking change.

Test

Plan tests before writing them. Keep both:

• test_core.py for unit coverage
• test_full_e2e.py for workflow and backend validation

When possible, test the installed command via subprocess using cli-anything-<software> rather than only module imports.

Validate

Check that the harness:

• uses the cli_anything.<software> namespace package layout
• has an installable setup.py entry point
• supports JSON output
• has a REPL default path
• has matching canonical and package-local SKILL.md files
• documents usage and tests

Backend Rules

Prefer the real software backend over reimplementation. Wrap the actual executable or scripting interface in utils/<software>_backend.py when possible. Use synthetic reimplementation only when the project explicitly requires it or no viable native backend exists.

Packaging Rules

• Use find_namespace_packages(include=["cli_anything.*"])
• Keep cli_anything/ as a namespace package without a top-level __init__.py
• Expose cli-anything-<software> through console_scripts
• Include cli_anything.<software>/skills/SKILL.md in package data

Workflow

1. Acquire the source tree locally (clone or use existing path).
2. Analyze architecture, data model, existing CLIs, and GUI-to-API mappings.
3. Design command groups and state model.
4. Implement the harness.
5. Write TEST.md, then tests, then run them.
6. Update README usage docs and generate both skills/cli-anything-<software>/SKILL.md and cli_anything/<software>/skills/SKILL.md.
7. Verify local installation with pip install -e .

Existing Harnesses (Reference)

For an up-to-date list of supported harnesses and their backend patterns, locate registry.json at the CLI-Anything repository root when it is available.

Output Expectations

When reporting progress or final results, include:

• target software and source path
• files added or changed
• validation commands run
• open risks or backend limitations