flowsh-cli turns workflow YAML into executable shell scripts.
Use it when you want a small, reproducible way to encode a workflow once and rerun it locally or in CI.
uvx flowsh-cli path/to/workflows.ymlThat reads the workflow YAML at the path you provide and writes harness scripts to the current working directory.
In this repository, the example workflow file lives at workflows.yml.
Useful flags:
uvx flowsh-cli path/to/workflows.yml --dry-run
uvx flowsh-cli path/to/workflows.yml --workflow wf_example
uvx flowsh-cli path/to/workflows.yml --force
uvx flowsh-cli path/to/workflows.yml --schema
uvx flowsh-cli --examples
uvx flowsh-cli --example simpleYou can also run it locally with uv run flowsh-cli.
The input file is a single mapping with a workflows list:
workflows:
- id: wf_example
name: Example
params:
- name: ISSUE_NUMBER
description: Issue to inspect
required: true
steps:
- type: vars
values:
TODAY: date -u +%F
- type: bash
run: printf 'today=%s\n' "$TODAY"
- type: agent
agent: general
model: openai/gpt-5
command: review
expandPrompt: true
prompt: |
Review issue ${ISSUE_NUMBER} and summarize the repository state.
- type: parallel
steps:
- type: bash
run: echo "worker A"
- type: bash
run: echo "worker B"
- type: for
in: ITEMS
item: ITEM
steps:
- type: bash
run: echo "$ITEM"
- type: while
condition: '[ -n "$(ls doc/plan/steps/planned/ 2>/dev/null)" ]'
steps:
- type: bash
run: echo "keep looping until the queue is empty"Harness paths are derived from workflow ids. wf_example becomes example.sh in the current working directory.
| Type | Purpose | Notes |
|---|---|---|
vars |
Execute shell commands and export their stdout into shell variables | Variable names must be uppercase shell identifiers. |
bash |
Run shell commands | Runs with bash -euo pipefail. |
agent |
Call the agent runtime | Supports agent, model, command, capture, expandPrompt, and dangerouslySkipPermissions. |
for |
Iterate over newline-delimited values from a previous vars step |
Flat iteration only; nested for steps are not supported. |
while |
Re-evaluate a Bash condition before each iteration | Use for dynamic queues or other stateful loops that must keep discovering new work. |
parallel |
Run child steps concurrently | Children run as separate branches and the parent waits for all of them. |
agent prompts are literal by default. Use expandPrompt: true only when you want $VAR or ${VAR} tokens from earlier vars steps substituted at runtime.
expandPrompt: true does plain text replacement only. It does not evaluate shell expressions like $(...), backticks, or globs.
Set capture: VARIABLE_NAME on an agent step when you want the full agent output stored in a shell variable for later vars or bash steps.
Set dangerouslySkipPermissions: true only when you want the generated harness to pass --dangerously-skip-permissions to the agent runtime. The YAML alias dangerously-skip-permissions is also accepted.
The parser is strict:
- workflow YAML must be UTF-8, non-empty, and under 1 MiB
- the root must be a mapping with a
workflowskey - duplicate mapping keys and YAML aliases are rejected
- workflow ids must match
wf_[A-Za-z0-9_-]+ - workflow and step names must be non-empty single-line labels
- unsafe control characters are rejected in executable fields
agentnames may contain only letters, digits,_, and-
Generated harnesses are non-interactive, owner-executable, and refuse to overwrite existing outputs unless --force is set.
Logs go to .flowsh/logs by default. Set FLOWSH_LOG_DIR to use another relative log directory.
uv sync
make install
make qa
make cleanmake qa runs linting, tests, and a local build.
make bump-patchThat bumps the patch version, runs QA, and publishes the package.
This repository intentionally stays focused on the Python CLI blueprint. It does not include the old TypeScript implementation, workflow templates, DSL explorer, plugin registry, or extra workflow node types.