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Opencode Qa

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code-yeongyu
opencode-qa

QA opencode itself, per case: verify the CLI/terminal (opencode run, db, serve, export), prove a specific plugin hook/action/event fired via the SSE event stream, smoke-test the TUI under tmux, and investigate sessions in opencode's SQLite DB by id, title/name, or message text. Ships tested helper scripts (each with a --self-test) plus per-domain references. Use whenever someone wants to QA, smoke-test, verify, or debug opencode's CLI, HTTP server, plugin hooks/events, or TUI, or to find/inspect opencode sessions in the database. Triggers: opencode qa, qa opencode, test opencode, verify opencode hook, opencode session db, find opencode session by id/name/text, opencode tui test, opencode server health, opencode event stream.

Overview

Publishercode-yeongyu
Repositoryoh-my-openagent
Skill nameopencode-qa
Stars
70K
Forks
5.7K
Bundled files
21
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  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 21 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by code-yeongyu on GitHub. Read the source before you install it.

Installation

Install the Opencode Qa AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/code-yeongyu/oh-my-openagent/tree/dev/.agents/skills/opencode-qa
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
mkdir -p .claude/skills
cp -r /tmp/oh-my-openagent/.agents/skills/opencode-qa .claude/skills/opencode-qa
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Opencode Qa in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Opencode Qa on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Opencode Qa is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

opencode QA

QA the opencode coding agent itself. This skill maps each QA need to a tested helper script and a deep reference. Every script ships a --self-test that asserts its scenario against the live machine, so the scripts are both the QA tools and their own regression checks.

Verified against opencode v1.17.7 (bun 1.3.12, macOS). Confirm the installed version with opencode --version; the surface is stable but always sanity check a flag with opencode <cmd> --help.

Golden rules (read before running anything)

  • READS of the live DB are safe and intended. Investigating sessions (Case D) only reads ~/.local/share/opencode/opencode.db.
  • Anything that SPAWNS opencode (serve, run, the TUI) must use an isolated XDG sandbox so QA never writes junk sessions into the real DB. The bundled scripts already do this; if you run opencode by hand for QA, set XDG_DATA_HOME / XDG_CONFIG_HOME / XDG_STATE_HOME / XDG_CACHE_HOME to temp dirs first.
  • Global text search over the part table is a multi-GB scan. Always scope it (--session, --recent, or --since). The text script refuses an unbounded scan on purpose.
  • The opencode source repo (packages/opencode) tests itself with bun test and CANNOT run tests from the repo root. See references/testing-harness.md.

Setup

Scripts live next to this file under scripts/. Invoke them from this skill directory (or with their absolute path):

bash
cd <this-skill-dir>                        # .agents/skills/opencode-qa
bash scripts/lib/common.sh --self-check    # confirm the harness + deps

Docker is the default QA surface. Run QA inside a disposable container that has the latest opencode and a copy of your config, with the host untouched: script/agent/qa-docker.sh (see references/docker-qa.md). The local scripts below are the fallback for when Docker is unavailable or on Windows.

common.sh provides the shared harness (DB path, SQL escaping, isolated XDG sandbox, free port, server start/stop, and an EXIT-trap cleanup). It requires opencode, sqlite3, curl, jq, and tmux on PATH.

Router: pick your case

You want to...CaseScriptReference
Run opencode non-interactively / check a CLI commandAopencode run --format json (inline)references/cli-commands.md
Find a session by its idDscripts/db-session-by-id.sh <ses_id>references/db-investigation.md
Find sessions by title/nameDscripts/db-session-by-name.sh "<text>"references/db-investigation.md
Find sessions by message textDscripts/db-session-by-text.sh --recent N "<text>"references/db-investigation.md
Export a whole session as JSONDscripts/export-roundtrip.sh <ses_id>references/db-investigation.md
Check the HTTP server / an endpointBscripts/server-smoke.shreferences/server-api.md
Prove a hook / action / event firedBscripts/sse-hook-probe.shreferences/events-hooks.md
Prove serve-topology wake runner-split (reproduced/fixed)Bscripts/serve-wake-split-probe.sh --expect reproduced|fixed --evidence-dir DIR (self-test: --self-test; fake LLM: scripts/lib/fake-openai-server.mjs)references/events-hooks.md
Smoke-test the TUICscripts/tui-smoke.shreferences/tui-tmux.md
Write/run a test in the opencode source-(bun test)references/testing-harness.md
Drive opencode from a Bun/TS script-(SDK)references/sdk.md

Case A: CLI / terminal works

The canonical scriptable, non-interactive entry is opencode run. JSON mode emits one event per line so you can assert on it.

bash
# stream structured events (types: text, tool_use, step_start, step_finish, reasoning, error)
opencode run "list files in src" --format json
# run a slash command
opencode run --command commit
# resume the last session
opencode run -c "continue"
# target an already-running server instead of booting one
opencode run "explain auth" --attach http://127.0.0.1:4096 -p "$OPENCODE_SERVER_PASSWORD"

Other QA-useful commands: opencode db path, opencode debug paths, opencode session list --format json, opencode models --verbose. Full flag detail in references/cli-commands.md.

Case B: a specific hook, action, or event

opencode publishes lifecycle events over Server-Sent Events at GET /event. Plugins observe the same events via the event hook, so seeing an event on the wire proves a hook would fire.

bash
# prove the SSE plumbing works (isolated server, asserts server.connected)
bash scripts/sse-hook-probe.sh --self-test

# watch a REAL server for a specific event while you trigger an action
bash scripts/sse-hook-probe.sh --attach http://127.0.0.1:4096 \
  --password "$OPENCODE_SERVER_PASSWORD" --directory "$PWD" \
  --event message.part.updated --timeout 30

Trigger an action over HTTP (fire-and-forget so the stream is not blocked):

bash
curl -X POST -u opencode:$OPENCODE_SERVER_PASSWORD -H 'Content-Type: application/json' \
  -d '{"parts":[{"type":"text","text":"say hi"}]}' \
  "http://127.0.0.1:4096/session/<ses_id>/prompt_async?directory=$PWD"

A real prompt needs a configured provider, so run the watch-and-trigger pattern against your real server, not the isolated sandbox. Event-type catalog, the 21 plugin hook points, and how to load a local plugin: references/events-hooks.md. Server start, auth, and routes: references/server-api.md.

Case C: the TUI

bash
bash scripts/tui-smoke.sh --self-test

This launches the TUI under tmux in an isolated sandbox, confirms it renders (capture-pane), confirms send-keys reaches the composer, tears the tmux session down, and verifies the real DB session count is unchanged.

When TUI visual QA evidence is needed for a PR, follow docs/reference/web-terminal-visual-qa.md: render the TUI through the real xterm.js web terminal and screenshot it - NEVER the tmux capture-pane frame, which degrades color and CJK width. From the repository root:

bash
node script/qa/web-terminal-visual-qa.mjs --title "OpenCode TUI QA" \
  --command "opencode" --input "{Enter}" \
  --evidence-dir .omo/evidence/<slug>/opencode-web-terminal

This runs a real pty, renders it in xterm.js under Chrome, and writes terminal.txt, terminal-ansi.txt, terminal.png (the true-color artifact), and metadata.json with a cleanup receipt (--from-file <capture.ansi> replays a saved raw stream). The isolated scripts/tui-smoke.sh remains the canonical OpenCode TUI boot smoke (tmux), separate from this visual evidence.

Honest verdict: tmux is fine for SMOKE (did it boot, render, accept a key) but fragile for asserting conversation output (the TUI is a 60fps full-screen app). For real behavior assertions use Case A (opencode run), Case B (server API + SSE), or the TUI control HTTP API (POST /tui/append-prompt, POST /tui/submit-prompt, POST /tui/execute-command). Details and the manual tmux recipe: references/tui-tmux.md.

Case D: investigate sessions in the DB

Read-only against the live SQLite DB. The session table is small (title and id lookups are instant); message text lives in the multi-GB part table, so text search must be scoped.

bash
# by id
bash scripts/db-session-by-id.sh ses_3a4ee6335ffedFB8f76BPU1Eb3
# by title / name (newest first; second arg = limit)
bash scripts/db-session-by-name.sh "auth refactor" 20
# by message text - scope with --session, --recent N, or --since "<window>"
bash scripts/db-session-by-text.sh --session ses_3a4e... "ULTRAWORK"
bash scripts/db-session-by-text.sh --recent 50 "permission denied"
bash scripts/db-session-by-text.sh --since "7 days" --limit 50 "TODO"
# export an entire session as clean JSON
bash scripts/export-roundtrip.sh ses_3a4e... > session.json

Ad hoc queries: opencode db "<SQL>" --format json. Schema, tested query shapes with timings, the legacy message/part vs V2 session_message distinction, and the 25 GB caveat: references/db-investigation.md.

Scripts index

Run any script with --self-test to verify it against the live machine, or -h for usage. DB-read scripts are read-only; serve/sse/tui scripts use an isolated sandbox and clean up on exit.

ScriptCaseSelf-test asserts
scripts/lib/common.sh --self-check-deps present, DB path resolves, SQL escaping, free port, sandbox auto-removed
scripts/db-session-by-id.shDid round-trips for a real session
scripts/db-session-by-name.shDa derived title needle returns >=1 row
scripts/db-session-by-text.shDscoped search hits; unbounded scan refused; bounded search <30s
scripts/export-roundtrip.shDexport stdout is valid JSON and .info.id round-trips
scripts/server-smoke.shB/global/health healthy, /doc >=100 paths, no-auth -> 401
scripts/sse-hook-probe.shB/event opens and delivers server.connected
scripts/tui-smoke.shCTUI renders under tmux, tears down, real DB untouched

Risks and caveats

  • 25 GB part table: never run an unbounded text scan. Use --session, --recent, or --since. A naive JOIN ... WHERE session.time_created >= X scans oldest-first and can take ~50s; the scripts use an IN-subquery on the newest sessions (~20ms).
  • opencode export writes its banner to STDERR; pipe with 2>/dev/null before jq or you will get a parse error.
  • The server enforces auth only when OPENCODE_SERVER_PASSWORD is set; otherwise it runs unsecured. Authenticated calls use -u opencode:$PASS. Unauthenticated calls to a secured server return HTTP 401.
  • Installed binary vs dev source: cite dev source paths for internals but verify flags against the installed opencode <cmd> --help.
  • Isolation: any QA that spawns opencode must use an isolated XDG sandbox so it never pollutes the real DB. Prove it by comparing sqlite3 "$(opencode db path)" "SELECT count(*) FROM session" before and after.
  • TUI output assertions are fragile; use the API for real assertions.

References

  • references/cli-commands.md - every QA-relevant opencode subcommand and flag
  • references/db-investigation.md - DB schema, tested queries, the 25 GB caveat
  • references/server-api.md - server start, auth, route catalog, /doc
  • references/events-hooks.md - SSE endpoints, event types, plugin hooks
  • references/tui-tmux.md - tmux recipe, isolation, TUI control API
  • references/testing-harness.md - how opencode tests itself (bun test)
  • references/sdk.md - the @opencode-ai/sdk client (reference only)
  • references/docker-qa.md - run QA in a disposable Docker container (default; local is the fallback)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Opencode Qa AI skill do?

QA opencode itself, per case: verify the CLI/terminal (opencode run, db, serve, export), prove a specific plugin hook/action/event fired via the SSE event stream, smoke-test the TUI under tmux, and investigate sessions in opencode's SQLite DB by id, title/name, or message text. Ships tested helper scripts (each with a --self-test) plus per-domain references. Use whenever someone wants to QA, smoke-test, verify, or debug opencode's CLI, HTTP server, plugin hooks/events, or TUI, or to find/inspect opencode sessions in the database. Triggers: opencode qa, qa opencode, test opencode, verify ope...

Why use Opencode Qa on TypingMind?

Because you install it once and use it with any model. Opencode Qa is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Opencode Qa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/code-yeongyu/oh-my-openagent/tree/dev/.agents/skills/opencode-qa. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Opencode Qa?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Opencode Qa?

As many as you like. As long as a model supports skills, you can use Opencode Qa with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Opencode Qa AI skill free?

It is published on GitHub by code-yeongyu. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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