peer

name	peer
description	Delegate arbitrary task work — implementation, research, review, debugging, design, doc updates, anything — to another local coding agent through the bundled peeragent wrapper. Use when the host assistant wants a peer agent to take a focused pass on a task in the current repository. Targets: Codex (default), Claude Code, Gemini through Antigravity, or Z.AI GLM 5.2 through Pi. Free-form task text; the wrapper returns a JSON result the host summarizes for the user. Resolve the wrapper from the plugin location before invoking; do not assume `peeragent` is on PATH.
allowed-tools	Bash
metadata	{"short-description":"Delegate a task to a peer coding agent"}

Peer

Delegate a focused task pass to a different local coding agent while you stay responsible for the user conversation. Use this any time a peer agent would do the work better, faster, or with usefully different blind spots — implementation, research, review, debugging, refactors, doc updates, build fixes. Not just "implementation" despite the historical name.

Default Behavior

Do not assume peeragent is on PATH. Resolve the bundled wrapper before the first call and use that path for every invocation:

• If PEERAGENT_BIN names an executable, use it.
• Otherwise resolve from this skill file: go two directories up from the skill directory, then use bin/peeragent.
• In a development checkout, the same wrapper is bin/peeragent.
• Use bare peeragent only if the bundled path cannot be found and command -v peeragent succeeds.

If a bare peeragent call fails with command not found, retry once with the bundled plugin path before reporting failure.

For invocations that launch or control a peer CLI (--agent ..., --async, or --cancel), run the wrapper with the host harness's outside-sandbox command mode so it inherits the developer machine's normal network, auth, hook, and process environment. In Codex, use the command tool's escalated/outside-sandbox execution mode for that wrapper invocation. Pure local --status and --result reads may stay sandboxed when the job directory is readable. This is separate from peeragent's --full-access flag: do not pass --full-access unless the user explicitly asked for that target permission mode.

Pass the user's task text to the wrapper:

<resolved-peeragent-bin> --agent <codex|claude|gemini|zai> "$ARGUMENTS"

--agent defaults to codex if omitted. The wrapper runs in the current repository, blocks until the peer finishes, and returns JSON. Read the JSON before responding to the user.

Picking The Target

The right peer is the agent you are not, unless the user named one.

• If you are Claude Code → default to --agent codex. Use --agent gemini or --agent zai when the user asks for that model, when Codex isn't available, or when extra model diversity is useful.
• If you are Codex → default to --agent claude. Use --agent gemini or --agent zai when the user asks for that model, when Claude isn't available, or when extra model diversity is useful.
• If the user named the target ("ask Codex…", "have Gemini look at…", "ask GLM…", "use Z.AI…"), use that one.

Different blind spots are the point. Their misses are your catches and vice versa.

Effort And Model

Match depth to the task. Routine work takes the defaults; bump up only when the work is dense or the stakes are high.

Target	Default	Lightweight	Deeper pass
--agent codex	--effort high	--effort medium	--effort xhigh
--agent claude	--model sonnet --effort xhigh	--model haiku --effort high	--model opus --effort xhigh
--agent gemini	fixed Gemini 3.5 (no flag needed)	—	—
--agent zai	fixed Z.AI GLM 5.2 through Pi, --effort high	--effort medium	--effort xhigh

Claude rejects --effort medium. Gemini ignores --effort and --model beyond accepting --model gemini-3.5 as a no-op for explicit metadata. Z.AI maps --effort medium|high|xhigh to Pi --thinking and accepts only --model glm-5.2; no other Z.AI model is surfaced.

Quickly test whether the Z.AI target is configured before delegating:

pi --list-models zai | grep -w 'glm-5.2'
pi --provider zai --model glm-5.2 --thinking high --no-session --no-tools -p 'Reply with OK.'
<resolved-peeragent-bin> --agent zai --text 'Reply with OK and do not edit files.'

If the Pi smoke test fails, configure Pi with ZAI_API_KEY or /login for the ZAI provider and retry.

Delegation Contract

The host delegates task intent; the peer performs the focused pass. The task text is arbitrary natural language, not shell syntax. Don't split the request into many wrapper calls unless the user explicitly asked for separate passes.

Default is blocking. Wait for the command to return, then summarize the result using the wrapper's status, summary, changed_files, verification, and details fields.

The default details payload is compact. For Codex targets, peeragent surfaces the final completed agent message instead of the full stream of interim assistant messages. If a deeper look is needed, inspect metadata.log_path for raw target stdout/stderr, or use metadata.agent_session with --resume for continuity.

Claude Opus runs, especially with --effort xhigh, may take 10 minutes or longer to finish. A slow or quiet Opus reply is not by itself evidence of a hung process; keep waiting unless the wrapper exits, reports failure, or there is concrete evidence the process is stuck.

Include a no-recursion instruction in every handoff. Tell the peer explicitly not to reach for peeragent's own peer or peer-review skills — and not to run the peeragent wrapper — to delegate the work back out to another local coding agent. That would loop host → peer → host and burn budget. The peer is the endpoint of this delegation. It may freely use its own harness's internal sub-agents (Codex/Claude/Gemini built-in task or sub-agent tooling, or Pi-native extensions if available) for parallel or focused passes; the prohibition is only on recursive peeragent calls. A short line in the prompt is enough, e.g. "Do this work directly — do not call the peeragent peer/peer-review skills to hand it off again; use your own harness's sub-agents if you need help."

Result Handling

• status: success — report what changed and what verification ran.
• status: blocked — explain the blocker; continue from the host side.
• status: failed — surface the failure reason and useful log details.
  • If exit code 3 (or, in --text mode, a "no prebuilt binary for this platform" message), peeragent has no committed binary for the user's OS/arch. Prebuilt binaries cover linux/darwin on amd64/arm64. Tell the user: on those platforms, reinstall the plugin or download the matching archive from https://github.com/nklisch/peeragent/releases; on any other platform, install from source (requires Go) with go install github.com/nklisch/peeragent/cmd/peeragent@latest and set PEERAGENT_BIN. If the platform is misdetected, PEERAGENT_TARGET_OVERRIDE=<goos>-<goarch> selects a present binary. Do not retry in a loop.
• status: running — only with --async; report the job id and how to check it.
• status: cancelled — only after --cancel; report cleanly.

Do not claim success unless the wrapper reports success.

Options

Use advanced modes only when the request calls for them:

• --full-access — run the peer CLI without sandboxing. Never implied; ask the user first if the wrapper reports full access is needed.
• --worktree — reserved; returns a clear failure today.
• --profile <name> — Codex profile override.
• --model <name> — Claude aliases (sonnet, opus, haiku), explicit Gemini gemini-3.5, or explicit Z.AI glm-5.2; no other Z.AI models are accepted.
• --resume <agent-session> — continue a prior target-agent session when the previous result included metadata.agent_session. Use it for continuity inside one multi-pass workflow; omit it for an independent second opinion.
• --cwd <path> — repo directory the peer runs in.
• --prompt-file <path> — read large prompts from a file.
• --async — start the peer as a background job; the wrapper returns a job_id immediately with status: running.
• --status <job-id> — check an async job.
• --result <job-id> — fetch a finished async job's final result.
• --cancel <job-id> — best-effort cancel.
• --text / --json — output format; JSON is default.

Guardrails

• Keep the handoff concise. The peer receives the task, not a full transcript recap unless context matters.
• Do not run the same peer repeatedly in a loop after failed or blocked results — diagnose first. On exit code 3, tell the user to install a prebuilt binary (linux/darwin amd64/arm64) or build from source with Go; do not retry.
• Preserve the host's responsibility for explaining outcomes to the user. The peer is the worker; you are the narrator.
• Treat the working tree as shared space — the peer may edit files you are also editing. Re-read before re-edit.
• No recursive peeragent. The handoff prompt must tell the peer not to call peeragent's peer/peer-review skills (or the peeragent wrapper) back out to another agent. The peer's own internal harness sub-agents are fine; recursive peeragent delegation is not.
• For review work, prefer /peer-review (the looping cross-model review skill) over a one-shot peer call.