Modus Operandi 🤌
Automate spec-driven "planner -> executor" workflows in LLM clients (opencode and cursor): task planning, task implementing and code review.
Quick start
pip install modus-operandi
modus-operandi task "<task-description>"
No configuration needed: the defaults use the free OpenCode Zen model
opencode/big-pickle for planning, review and implementation, which works
out of the box. To switch models or backends, run modus-operandi edit.
Install
modus-operandi works right after install: the first run renders the pipeline
files (agents, scripts, workflows, prompts) into ~/.config/modus-operandi/ and
~/.config/opencode/, and creates ~/.config/modus-operandi/config.yml from the
example. Updates arrive through PyPI (pip install -U modus-operandi); the render
is re-applied automatically on the next run.
Requirements: Python >= 3.12, and one backend CLI on PATH — opencode
(default) or cursor-agent (see --backend cursor below).
The dev flow (python3 install.py from a checkout) additionally installs a
checkout-based modus-operandi command into ~/.local/bin and keeps that
directory on PATH in your existing shell rc files (~/.bashrc, ~/.zshrc,
~/.profile), so the command is available in every newly opened terminal.
Usage
Task
If you have a workflow like this
1. Studying the motivation of the task with a planner-agent
2. Creating an ADR
3. Writing an implementation plan for the executor
4. The executor-agent asking clarifying questions about the task
5. The planner-agent answering these questions
6. Implementing the task
7. Reviewing for SRP violations
8. Reviewing for bugs
9. General review (correctness and quality)
10. Comment review (readability)
11. Fixing the issues found
12. The executor writing a final summary of what was done
The ADR records the decision (what and why) and is published to the
architecture/ directory at the end of the run in its final version; the
implementation plan stays internal to the executor.
then you can use this command
modus-operandi task "<task-description>"
The description can also come from a file: modus-operandi task path/to/description.md
(a single argument naming an existing file is read as the description; file
and inline text input are mutually exclusive).
Review
If you have a workflow like this
1. Reviewing the whole project for SRP violations
2. Reviewing the whole project for bugs
3. Comment review (readability)
4. Fixing the issues found
5. The executor writing a final summary of what was done
then you can use this command
modus-operandi review
To review only the changes between the current branch and the default branch:
modus-operandi review --branch-diff
Backend
By default, opencode is used. If you need the cursor backend, use the
--backend cursor flag:
modus-operandi --backend cursor task "<task-description>"
Cursor runs on its default composer-2 model for planning, review and
implementation when no cursor: section is configured yet; set your own
model slugs with modus-operandi edit.
Config
modus-operandi edit
opens ~/.config/modus-operandi/config.yml in your terminal editor. On save and
close it validates the file: a valid config is applied, an invalid one is
rolled back and the error is reported with its line number; a config left
unchanged is not re-applied.
Uninstall
modus-operandi uninstall
pip uninstall modus-operandi
removes the rendered pipeline files (~/.config/modus-operandi and the modus-operandi
files under ~/.config/opencode) — run pip uninstall modus-operandi afterwards
to remove the package itself.
Metadata
Release files for modus-operandi 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modus_operandi-0.4.0.tar.gz | 480.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| modus_operandi-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / modus_operandi-0.4.0.tar.gz
| Download URL | modus_operandi-0.4.0.tar.gz |
|---|---|
| Size | 480.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 26, 2026.
Transparency logRelease files / modus_operandi-0.4.0-py3-none-any.whl
| Download URL | modus_operandi-0.4.0-py3-none-any.whl |
|---|---|
| Size | 531.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c5c4be3fd88779d5eee58f9f42fb5dce903f3a12abb442f44a84549f0e388042
|
|
BLAKE2b-256 checksum How to use checksums |
168fe7a059bbe2502717255bc99abb0ed7710addcf55bef766b6ae00c7727408
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 26, 2026.
Transparency log