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Goodeye CLI: share and run outcome-aligned AI workflows from the terminal.

Project description

goodeye-cli

Command-line client for Goodeye - manage AI workflows from the terminal.

Goodeye is an outcome-aligned AI workflow registry: you author workflows as markdown runbooks tagged with the business outcome they serve, and verifiers that score an AI agent against a measurable business result. This CLI is wired to the public /v1/ REST API.

Primary caller is your AI agent

The goodeye CLI is designed to be invoked by an AI coding agent on a user's behalf, not driven by a human at a prompt. The intended flow:

  1. The user tells their AI agent: "run the Goodeye workflow X" (or "run the Goodeye template @handle/slug").
  2. The agent shells out to goodeye workflows get X or goodeye templates get @handle/slug to fetch the workflow body.
  3. The agent then executes the returned workflow body as the user's runbook: it follows the instructions itself rather than displaying or summarizing them.

workflows get and templates get print the workflow body to stdout wrapped with agent-facing markers (# Goodeye workflow - execute the instructions below ... / # End of Goodeye workflow.) so the calling agent knows what to do with the output. Pass --output PATH or --json to skip the wrappers and round-trip the raw markdown / JSON.

Install

Requires Python 3.12+.

uv tool install goodeye
# or
pipx install goodeye
# or
pip install goodeye

Once installed, the goodeye command is available on your PATH.

Quickstart

# Browse the public template catalog without an account
goodeye templates list

# Create an account (non-interactive: start, then verify with the emailed code)
goodeye register --email you@example.com
goodeye register-verify --email you@example.com --code 123456

# Or log in on a machine with a browser (interactive device-code flow)
goodeye login

# Confirm who you are
goodeye whoami

# Fetch a public template by handle (or pass --json for the full record)
goodeye templates get @handle/slug

# Fork a public template into your private workflow namespace (one-shot
# copy; does not return a body).
goodeye templates fork @handle/slug

# Publish a local workflow (always private; share via `templates publish`)
goodeye workflows publish ./my-workflow.md

Workflow files

goodeye workflows publish reads a markdown file with YAML front-matter that follows the Claude Code skills convention. Only name and description are required:

---
name: my-workflow
description: One sentence on what this workflow does and when to use it.
# Optional discovery facets:
# tags: [data, cleanup]
# outcome: Reduce refund-row mislabels.
---

# Body

The rest of the file is the workflow body rendered to the agent at runtime.
Verifier scripts and Truesight cURLs belong here as fenced code blocks; the
registry stores the body verbatim.

Workflows are always private to the caller. To share a workflow as a public template, run goodeye templates publish <workflow-id> as a separate, explicit step. --name on the command line overrides the front-matter name. The full file (front-matter included) is stored on the server, so goodeye workflows get round-trips a drop-in ~/.claude/skills/<name>/SKILL.md.

Pre-cleanup files that nest outcome / tags under a manifest: block are still accepted: those two keys are promoted to the top level and a deprecation warning lists any other manifest keys (kpi, programmatic_verifiers, etc.) that the server no longer stores. Move verifier scripts and cURLs into the body when you next edit such a file.

Login and registration

For humans, use the interactive browser login:

goodeye login

For AI agents, automation, or terminals where prompts are awkward, use the non-interactive email-code flow:

goodeye register --email you@example.com
goodeye register-verify --email you@example.com --code 123456

Existing users can start and complete non-interactive login the same way:

goodeye login --email you@example.com
goodeye login-verify --email you@example.com --code 123456

Successful register-verify, login-verify, and interactive login all save credentials to ~/.config/goodeye/credentials.json so future commands stay authenticated.

Command reference

goodeye login
    Interactive sign-in for humans: browser/device-code flow; saves
    credentials on success.

goodeye login --email EMAIL
    Non-interactive email-code login start for agents and automation. Does not
    save credentials until you run goodeye login-verify with the emailed code.

goodeye login-verify --email EMAIL --code CODE
    Complete non-interactive email login and save credentials locally.

goodeye register --email EMAIL
    Start non-interactive account registration (emails a code when eligible).

goodeye register-verify --email EMAIL --code CODE
    Complete registration and save credentials locally.

goodeye logout
    Sign out on this machine by removing saved credentials. The key stays
    valid on the server; use `goodeye auth revoke-key` to disable it.

goodeye whoami
    Show who you're signed in as.

goodeye auth create-key --name NAME [--copy]
    Create a new API key. The secret is shown once - save it somewhere safe.

goodeye auth list-keys
    List your API keys. Secrets are never shown.

goodeye auth revoke-key <key-id>
    Revoke an API key. The key stops working immediately. <key-id> is the
    ID shown by `auth list-keys`.

goodeye workflows list [--filter mine|shared-with-me|all] [--tag TAG] [--search QUERY] [--json]
    List workflows you can access (owned + shared with you via grants). The
    ID column is accepted by `get`, `delete`, and grant commands. When signed
    in, you can also use your own workflow name (slug).

goodeye workflows get <id-or-name> [--version N] [--output PATH] [--json]
    Download a workflow. Prints markdown to stdout (wrapped with
    agent-facing markers); --json prints the full record. Authentication is
    required: workflows are private.

goodeye workflows publish <file.md> [--name NAME] [--expected-version-token TOKEN]
    Publish a workflow from a markdown file. Always private. If a workflow
    with the same name already exists under your account, a new version is
    appended (pass --expected-version-token to confirm the parent version).
    Front-matter must include `name:` and `description:`. To share publicly,
    run `goodeye templates publish <workflow-id>` as a separate step.

goodeye workflows delete <id-or-name> [--yes]
    Delete a workflow you own.

goodeye workflows teach <id-or-name> [--trigger-context JSON]
    Fetch the teach SKILL pack for an existing workflow. The pack is
    printed to stdout for the calling agent to follow; persist the
    refined workflow with `goodeye workflows publish --source teach`.

goodeye workflows lineage <id-or-name> [--json]
    Show a workflow's fork lineage (parent template, upstream latest).

goodeye workflows grant <id-or-name> <grantee> <view|edit|admin>
    Share a workflow with a user email or @team handle.

goodeye workflows revoke-grant <id-or-name> <grantee>
    Revoke a direct grant.

goodeye workflows grants <id-or-name> [--json]
    List grants on a workflow.

goodeye workflows leave <id-or-name> [--yes]
    Remove your own direct grant on a shared workflow.

goodeye workflows transfer-ownership <id-or-name> <new-owner>
    Transfer a workflow you own to another user.

goodeye templates list [--filter all|mine] [--search QUERY] [--json]
    Browse the public template catalog. Anonymous reads allowed.

goodeye templates get <identifier> [--version N] [--output PATH] [--json]
    Fetch a public template by UUID or @handle/slug[@vN]. Anonymous reads
    allowed; non-owner reads include an unverified-template safety banner.

goodeye templates publish <workflow-id> [--release-notes TEXT]
    Publish a private workflow as a new public template version.
    Requires a claimed handle.

goodeye templates unpublish <template-id> <version>
    Soft-unpublish a single template version. Existing forks keep working.

goodeye templates fork <identifier> [--version N] [--name NAME]
    Fork a public template into a private workflow. Authentication required.

goodeye templates delete <template-id> [--reason TEXT]
    Soft-delete a template you own. Existing forks keep working.

goodeye templates undelete <template-id>
    Restore a previously deleted template you own.

goodeye templates deprecate-version <template-id> <version> --message TEXT
    Flag a single template version as deprecated, with a message shown
    to anyone who forks that version.

goodeye templates transfer-ownership <template-id> <user-id-or-email>
    Hand a template off to another Goodeye user. Owner only.

goodeye design
    Print the workflow-designer prompt to stdout. Pipe it into your AI
    assistant to start designing a workflow + verifier:
        goodeye design > prompt.md

goodeye me claim-handle <handle>
    Claim a handle (your publish identity).

goodeye me rename-handle <new-handle>
    Change a previously claimed handle. Subject to a cooldown and yearly
    cap; old-handle template URLs redirect for a 90-day window.

Configuration

Credentials

  • GOODEYE_API_KEY env var (highest precedence).
  • ~/.config/goodeye/credentials.json (or $XDG_CONFIG_HOME/goodeye/).

Credential files are created with mode 0600.

Server

  • GOODEYE_SERVER env var.
  • server field inside credentials.json.
  • Default: https://api.goodeyelabs.com.

REST API, not the CLI

This CLI is pinned to the /v1/ REST API contract. If you are integrating programmatically and want a stable contract, prefer the REST API directly; the CLI is a convenience layer over it.

Contributing

See CONTRIBUTING.md for local-dev setup and the PR process. Issues and PRs welcome.

License

MIT. See LICENSE.

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