opencode-delegate – skill Lập trình cho agent AI

Bundled upstream support

Supporting files are included at skill-relative paths. See [UPSTREAM-NOTICE.md](UPSTREAM-NOTICE.md) for their pinned sources, licenses, hashes, and import changes.

OpenCode Delegate

When to Use

• You want to delegate a bounded coding task to a separate opencode implementer (OpenCode) and then review its diff yourself.
• The user explicitly asked for delegation to this implementer.

You are the orchestrator. This skill lets you hand a bounded coding task to a separate

implementer — the OpenCode CLI — then review what it produced and land it yourself. You write

the brief and own the judgment; OpenCode does the typing in its own session; you verify and commit.

Nothing here is specific to one orchestrating agent. The loop needs only the ability to run a shell

command and read a file, so any agent with those two capabilities — Claude Code, OpenCode driving a

sibling session, or a comparable one — can drive it. (It is designed for and run on Claude Code; treat

other orchestrators as designed-for, not yet proven.)

When NOT to use this

• The task is small enough to just do inline — delegation overhead is not worth it.
• The opencode CLI is not installed or not authenticated (run opencode auth login).
• You want to write the code yourself, or you only need a review (use the plan agent via --read-only).

Prerequisites (check once)

1. opencode --version succeeds. If not, install (npm i -g opencode-ai, or the native installer from

opencode.ai) and opencode auth login.

2. Confirm which opencode is on PATH. command -v opencode shows the active binary and

opencode --version its version. The relay records the version it ran into result.json, so a stale

binary is visible after the fact.

3. A model provider is authenticated — opencode auth list shows at least one credential.

4. You are in (or will point --cd at) the target git repository.

Choose the implementer model

OpenCode has no safe default — a bare opencode run errors — so a fresh run needs a model via

--model or a fleet --lane that sets one (a resumed run inherits its session's model). Naming the

model is the one decision a single-model backend like codex-delegate never had, and it has two owners:

• The human owns which models are allowed. opencode models lists hundreds of entries, most billed

per token (OpenRouter and the like); only the human knows which are their flat-rate subscriptions, and

the CLI can't tell them apart. So the usable set is theirs — ideally stated once in the repo's

AGENTS.md or their CLAUDE.md (e.g. "delegate mechanical work to opencode-go/…, hard logic to

…").

• You, the orchestrator, pick per task — from that set. Match the model to the brief: a cheap, fast

model for a mechanical sweep (rename, migration, removal); a strong one for a subtle bug or a

money/security path.

• If no usable set is stated, ask — don't guess. Guessing from the catalog risks a metered model and

a surprise bill. Name the constraint to the human and let them choose.

More depth: [references/writing-the-brief.md](references/writing-the-brief.md).

The loop

Run these five steps per task. Steps 1, 4, and 5 are your judgment; 2 and 3 are mechanical.

1. Write the brief

OpenCode sees only the text you send plus what it can read from the working tree — no chat history,

no shared context. Everything the task needs goes in the brief: the goal, the current state, what to

change, what to leave untouched, the project's actual gate commands (discover them from the repo's

AGENTS.md/CLAUDE.md/Makefile — do not assume), and a report contract. Tell OpenCode it will not

commit (you will). Keep one task per brief. Full guidance and a template:

[references/writing-the-brief.md](references/writing-the-brief.md).

2. Dispatch

Send the brief to OpenCode with the bundled helper. It wraps opencode run, captures the run, and

writes a structured result.json — so your only job is "run a command, read a file." (<skill-dir>

below is this skill's installed directory — the folder containing this SKILL.md. Claude Code prints

it as "Base directory for this skill" when the skill loads; on other orchestrators use that same

directory — if unsure where it landed, run find ~ -name relay.mjs -path '*opencode-delegate*' and

substitute the directory above it.)

node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --model <provider/model> --cd /path/to/repo
# --model (or a --lane that sets model) is required on a fresh run
# fleet lane from delegate-setup:           add --lane <name>  (dials apply; flags still win)
# read-only (review/diagnosis, no edits):   add --read-only   (uses the plan agent)
# continue the previous OpenCode session:   add --resume-last  (delta brief only; keeps the model)
# hard time limit (watchdog):               add --timeout 2h  (default: off; implementation runs routinely need 1-2h)
# see all options:                          node .../relay.mjs --help

The helper defaults to the write-capable build agent and writes its artifacts to a temp dir, so the

repo under review stays clean. It never commits — see step 5. Mechanics, flags, and the

result.json shape: [references/dispatch-and-poll.md](references/dispatch-and-poll.md).

3. Wait for completion

The helper blocks until OpenCode finishes, so back it with whatever your orchestrator offers and resume

when it returns:

• Claude Code: run the Bash call with run_in_background: true; you are notified on completion.
• Plain shell / other agents: run it in the foreground for short tasks, or background it and poll

the result file — … & in bash/zsh (including Git Bash/WSL), or your shell's equivalent (Start-Job

in PowerShell, start /b in cmd). The run is done when result.json exists with a status. (A

pre-run usage error — bad args or an empty brief — instead exits with code 2 and writes no result

file, so check the exit code too. A missing opencode binary exits 127 but *does* write a

result.json with status opencode_unavailable.)

Do not trust progress trackers over reality: a run is finished when result.json is written and the

process has exited. Read the working tree, not a status line. The implementer's full report is

the finalMessage field in result.json (also printed in full on stdout between the report markers).

4. Review — do not trust the self-report

OpenCode's result.json includes its own final message and any gate claims. Re-verify, don't accept:

• Re-run the project's gates yourself (the test/lint/build commands from step 1). Never take

"gates passed" on faith.

• Read the diff against the brief: did OpenCode do what was asked, nothing more (scope creep) and

nothing less? touchedFiles in the result is your starting point.

• Run the relevant guard skills on the diff if you have them installed (clean-code-guard,

test-guard, etc. from guard-skills) — this skill produces the work; those skills judge it.

• For schema/migration changes, round-trip them; for removals, grep for dangling references.

Full checklist: [references/review-and-land.md](references/review-and-land.md).

5. Land it

The implementer edits the working tree; the orchestrator commits. Committing should be the act of

the party that verified the work. Only after the gates pass and the diff holds:

• Commit the verified work yourself, with a clear message.
• If it needs changes, send a delta brief with --resume-last (don't restate the whole task) and

review again.

Autonomy model

OpenCode's autonomy is governed by the agent, not a sandbox enum:

• build (the relay default) — write-capable; edits files in the working dir headlessly. The

equivalent of "let it implement."

• plan (via --read-only) — requests the CLI plan agent. Actual tool permissions depend on installed configuration; this flag is not a host sandbox. The

equivalent of "let it look but not edit."

Permissions auto-approve by default: the relay passes --auto so a headless run never blocks on a

prompt no one can answer. That is the point of unattended delegation — the orchestrator's diff review

and the implementer sweep (step 4) are the safety net, not a per-action prompt. Pass --no-auto to

honor the agent's own permission config instead (allow/ask/deny per action); pair it with an agent whose

in-workspace permissions are set to *allow*, or a headless run can hang waiting on an ask.

Read-only (plan) runs never get --auto — auto-approving would let the plan agent's ask-gated

edit/bash permissions through and defeat "read-only," so this reduces automatic permission approval; verify installed plan permissions and use OS isolation when writes must be impossible.

Authorization model

Delegation is something the human opts into. Once they have ("run this queue", "proceed"), committing

verified, gate

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