Autoprompt is a coding-agent workflow that cuts failures by 45% by reviewing, fixing, and rechecking its work.
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Contents
Install · Benchmarks · Invocation · Run controls · Workflow · Agents · Examples · FAQ · License
Install
Use the CLI below, or download an installer from GitHub Releases.
1. Install the CLI
npm install -g https://github.com/Spielewoy/autoprompt-skill/releases/download/v2.1.0/autoprompt-skill-2.1.0.tgz
2. Launch the installer
autoprompt
3. Install
Choose your coding agent, confirm its path, and install. N means enter another path.
For another CLI or IDE, choose Custom coding agent and use the compatibility guide.
Install from source
git clone https://github.com/Spielewoy/autoprompt-skill
cd autoprompt-skill
npm install -g .
autoprompt
Requirements
- Node.js 20+
- Python 3.11+ available as
python3orpython, with PyYAML - Bash 4.3+ on macOS or Linux
- Windows native provider commands use the installed provider runtime plus the platform sandbox and owned-process controls; WSL and a hypervisor are not required for native paths
- Native Windows Codex additionally requires an administrator-run Autoprompt controller and an initialized official Codex Windows sandbox. Setting Codex
windows.sandbox="elevated"selects that sandbox mode; it does not elevate the Autoprompt controller. - Git only for the GitHub checkout method
Support
| Status | Coding agent | Tested version | Key |
|---|---|---|---|
| Working | Claude Code | 2.1.263 | claude |
| Working | Codex | 0.148.0 | codex |
| Working | OpenCode | 1.18.29 | opencode |
| Working | Kilo Code | 7.5.15 | kilo |
| Working | VS Code | 1.136.1 | vscode |
| Working | Prime Agent | 0.7.2 | prime |
| Working | Oh My Pi | 18.1.14 | omp |
| Working | DeepSeek Harness | 0.1.2-rc.1 | deepseek |
| Working | Reasonix | 1.30.0 | reasonix |
| Working | Hermes Agent | 0.21.1 | hermes |
| Working | Grok Build | 1.0.13 | grok |
These versions passed Linux runs. Model and platform availability varies by provider.
Native Windows execution uses AppContainer isolation and Windows Job process ownership, with Node 20 or 24 on x64 or ARM64. Native macOS execution uses the system sandbox and owned-process controls. Windows command tools include the bundled Bash/MSYS/Node runtime; native paths do not require WSL or a VM.
The ten non-Codex providers can run their local capability checks on Linux,
Windows, and macOS. All eleven checks must pass for the installed runtime before
a mission starts; missing, failed, or skipped checks block activation. Codex uses
its separate canonical validation route. On Windows, that route creates a fresh
offline account and an own-SID Windows Filtering Platform policy for each
activation. Their activation-bound lease is retained for resume. Permanent
cleanup removes the account and policy only after owned Jobs drain; uncertain
verification or cleanup fails closed and retains recovery records. The Linux
version table above does not
certify every provider/platform combination. Installer success and
doctor --strict are prerequisite checks; local-canary-required means native
validation is still pending. See configured Linux runtimes
when a native path is unavailable.
Check, update, or remove an installation
- Check every detected installation:
autoprompt doctor --strict - Check one provider:
autoprompt doctor PROVIDER --strict - Update or repair:
autoprompt, then choose an installed provider - Uninstall interactively:
autoprompt uninstall - Uninstall one provider:
autoprompt uninstall PROVIDER - Show every command:
autoprompt help
Replace PROVIDER with a key from the support table, such as claude, codex, or prime.
Benchmarks
These are version 1 benchmarks. Version 2 benchmarks will follow.
Measured OpenCode comparison
| Track | Solved | Score | Failed |
|---|---|---|---|
| OpenCode | 60/89 | 67.42% | 29 |
| OpenCode + Autoprompt | 73/89 | 82.02% | 16 |
| Change | +13 solves | +14.61 points | 45% fewer |
DeepSeek's 82.7% used its own test setup, so it is a reference point, not a comparable third run. Read the setup and evidence boundaries, or request another benchmark.
Expected trade-off: about 3x the time and 2x the tokens.
Timing and token logs were not retained, so these are planning estimates based on user experience reports, not measured benchmark results. The measured result was 29 to 16 failures (45% fewer) in this run, which translates to about 2x fewer mistakes. Note: for very small tasks, this may differ significantly.
Anatomy of an invocation
autoprompt activate PROVIDER --target /absolute/project -- ""
| Part | What it does |
|---|---|
PROVIDER |
A key from the support table, such as claude, codex, or grok. |
--target |
The project to work on. Omit it to use the current directory. |
-- |
Separates launcher options from the request. |
| `` | The result you want, constraints, and how to check success. |
path= |
Optional auto, direct, light, or roadmap, before the quoted goal. See work paths. |
autoprompt activate codex -- path=light "add retries and test the edge cases"
Run controls
The same controls apply to all eleven providers. Custom model setup
| Control | What it does |
|---|---|
--concurrency tokensaver |
Runs at most six subagents at once. |
--concurrency wide |
Starts ready, independent work up to the host limit. |
--concurrency custom --max-subs N |
Sets your own concurrency limit. |
configure PROVIDER --agents off |
Uses the provider's configured model. |
configure PROVIDER --agents MODEL |
Selects one model. Add --effort LEVEL where supported. |
configure PROVIDER --agents auto --model-map FILE |
Chooses from a measured model registry. A comma-separated model list also requires --model-map. |
Pass concurrency controls after --, before the quoted goal:
autoprompt activate codex -- --concurrency custom --max-subs 4 "add retries and tests"
autoprompt configure claude --agents provider/model --effort low
How it works
The agents
Examples
| Goal | Prompt |
|---|---|
| Fix | autoprompt activate claude -- "fix the registration race and add a regression test" |
| Build | autoprompt activate codex -- --concurrency wide "build the booking flow from API to checkout" |
| Research | autoprompt activate hermes -- "compare job queues against this codebase and recommend one" |
| Limit parallel work | autoprompt activate grok -- --concurrency custom --max-subs 4 "migrate every model" |
Run these commands from your project, or supply --target /absolute/project before --.
FAQ
Does Autoprompt mean I literally do not have to prompt?
No. Give it a clear goal, constraints, and success criteria. Autoprompt handles the execution loop, so you do not have to prompt every step. Details
How autonomous is Autoprompt?
It can scope, implement, test, review, repair, and verify a goal. It stops for choices that change the result, actions that need your authority, or blockers it cannot safely resolve. Details
What are the layers for?
The layers separate coordination, management, execution, and independent judgment. That separation keeps one agent from planning, approving, and verifying its own work. Details
What are the paths?
path=auto selects a route for the task. direct starts focused work, light adds a short plan, and roadmap organizes dependent work before execution. Every path includes independent verification. Details
What do concurrency, models, and paths control?
--concurrency and --max-subs set parallel work limits. configure --agents selects models, and path= selects how work is planned and coordinated. Details
Why does Autoprompt not start in the background?
Because it changes cost, time, and workflow. Start it explicitly with autoprompt activate PROVIDER -- "".
License
MIT. Copyright 2026 Spielewoy.
Community: Contributors, Contributing, Code of Conduct, Security, and Support.
Contributors
johnatag · rollingdice · AincradBot · lunar-me · fatinghenji · c8dhjp4tyv-bit · Alexis-Fiolleau-LaPoste-BGPN · Oscar-Williams