pp-learn-disabled-example

Learn Disabled Example — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the learn-disabled-example-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:

   npx -y @mvanhorn/printing-press-library install learn-disabled-example --cli-only
   

2. Verify: learn-disabled-example-pp-cli --version
3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails before this CLI has a public-library category, install Node or use the category-specific Go fallback after publish.

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

Golden fixture exercising the learn.disabled generation-time opt-out. With the self-learning loop on by default for every fresh print, this fixture pins the ONLY sanctioned way to print without it: learn.disabled: true. The locked artifacts must carry no internal/learn tree, no teach/recall/learnings commands, no learn store schema, and no self-learning sections in README.md / SKILL.md / AGENTS.md. A regression here means either the opt-out stopped working (learn surface appears) or the default leaked into an opted-out spec.

When Not to Use This CLI

Do not activate this CLI for requests that require creating, updating, deleting, publishing, commenting, upvoting, inviting, ordering, sending messages, booking, purchasing, or changing remote state. This printed CLI exposes read-only commands for inspection, export, sync, and analysis.

Command Reference

games — Minimal syncable resource so the disabled shape still keeps its profile-derived store; the opt-out must remove the learn surface, not the ordinary data layer.

• learn-disabled-example-pp-cli games — List games

Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

learn-disabled-example-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.

Auth Setup

Run learn-disabled-example-pp-cli auth setup for the URL and steps to obtain a token (add --launch to open the URL). Then store it:

learn-disabled-example-pp-cli auth set-token YOUR_TOKEN_HERE

Or set LEARN_DISABLED_TOKEN as an environment variable.

Run learn-disabled-example-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

• Pipeable — JSON on stdout, errors on stderr

• Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

  learn-disabled-example-pp-cli games --agent --select id,name,status
  

• Previewable — --dry-run shows the request without sending

• Offline-friendly — sync/search commands can use the local SQLite store when available

• Non-interactive — never prompts, every input is a flag

• Read-only — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Paths and state

Agents should treat the CLI's path resolver as part of the runtime contract:

• Use --home <dir> for one invocation, or set LEARN_DISABLED_EXAMPLE_HOME=<dir> to relocate all four path kinds under one root.

• Use per-kind env vars only when a specific kind must diverge: LEARN_DISABLED_EXAMPLE_CONFIG_DIR, LEARN_DISABLED_EXAMPLE_DATA_DIR, LEARN_DISABLED_EXAMPLE_STATE_DIR, LEARN_DISABLED_EXAMPLE_CACHE_DIR.

• Resolution order is per-kind env var, --home, LEARN_DISABLED_EXAMPLE_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.

• config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.

• Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.

• Run learn-disabled-example-pp-cli doctor --fail-on warn to surface path and credential-location warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.

• For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:

  {
    "mcpServers": {
      "learn-disabled-example": {
        "command": "learn-disabled-example-pp-mcp",
        "env": {
          "LEARN_DISABLED_EXAMPLE_HOME": "/srv/learn-disabled-example"
        }
      }
    }
  }
  

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use LEARN_DISABLED_EXAMPLE_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing LEARN_DISABLED_EXAMPLE_HOME, or doctor will not find credentials left under the former root.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

learn-disabled-example-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
learn-disabled-example-pp-cli feedback --stdin < notes.txt
learn-disabled-example-pp-cli feedback list --json --limit 10

Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless LEARN_DISABLED_EXAMPLE_FEEDBACK_ENDPOINT is set AND either --send is passed or LEARN_DISABLED_EXAMPLE_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.

learn-disabled-example-pp-cli profile save briefing --json
learn-disabled-example-pp-cli --profile briefing games
learn-disabled-example-pp-cli profile list --json
learn-disabled-example-pp-cli profile show briefing
learn-disabled-example-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

Argument Parsing

Parse $ARGUMENTS:

1. Empty, help, or --help → show learn-disabled-example-pp-cli --help output
2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

Install the MCP binary from this CLI's published public-library entry or pre-built release, then register it:

claude mcp add learn-disabled-example-pp-mcp -- learn-disabled-example-pp-mcp

Verify: claude mcp list

Direct Use

1. Check if installed: which learn-disabled-example-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
3. Execute with the --agent flag:

   learn-disabled-example-pp-cli <command> [subcommand] [args] --agent
   

4. If ambiguous, drill into subcommand help: learn-disabled-example-pp-cli <command> --help.