mcpbeat

Subagent

ethanhq/cc-fleet-subagent

Fan out a one-shot or flat parallel batch of cc-fleet PROVIDER subagents (headless `cc-fleet subagent`) that return a result — DeepSeek / GLM / Kimi / Qwen / MiniMax, or a Codex/Claude subscription. Trigger ONLY to delegate a task to a cc-fleet provider worker (parallel research, bulk per-file work, a specialized model). Do NOT trigger for a multi-phase pipeline (that is /cc-fleet:workflow), for ordinary local shell/coding, or for editing or researching cc-fleet's own code.

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Install

one command, takes just this skill from the repository
npx skills add https://github.com/ethanhq/cc-fleet --skill subagent

The instruction itself

12 sections, as written by the author

subagent — one-shot / batch / background provider subagent

Wrong lane? A multi-phase pipeline with dependencies or resume → /cc-fleet:workflow.

When this skill cites cc-fleet-shared/<file>.md, read ../cc-fleet-shared/<file>.md relative to this SKILL.md (load-bearing, not optional background).

> Execution environment — check before running anything. Confirm this shell runs on the machine where cc-fleet is installed. In a remote or split-host agent session the shell can run on a separate machine with its own filesystem and PATH, so cc-fleet: command not found or a wrong working directory can indicate that the shell is running on the wrong machine, not that cc-fleet is broken — route commands through a host-executing bridge and pass host paths for the files you reference, and stop cleanly if no such bridge exists. (Different-machine case only; for the same-machine codex sandbox — a clean doctor but network-blocked leaves — see Approval & sandbox below.)

cc-fleet subagent runs a provider model headless and returns the result directly on your shell's stdout — no tmux pane, no team, no locks. A one-shot provider agent whose model can be a provider id. It reuses the same provider selection and fingerprint gate as the rest of cc-fleet. It's the lightweight synchronous branch.

Preflight (first fan-out per session). Run cc-fleet doctor --json once and read the per-check results. The ONLY hard stops are the claude binary check and the fingerprint check (the worker engine) — if either fails, tell the user to install or fix Claude Code, and stop. Do not stop on the "all configured providers' keys reachable" check: it aggregates every enabled provider, so one unrelated provider — especially a daemon-backed codex / openai-*, whose loopback proxy is only up during a spawn — flips ok:false / exit 1 while your target provider is fine. Provider API keys are configured separately in cc-fleet, so a provider model needs the claude binary but not a Claude subscription. To check the provider you'll actually use, run cc-fleet models <provider> --json (PROVIDER_UNKNOWN ⇒ not configured); that confirms it's configured + enabled, not that it's reachable — the run itself proves reachability.

Approval & sandbox (non-bypass codex)

cc-fleet spawns a network-using child (claude -p → the provider API) and writes a job record (plus a file when you use --prompt-file or redirect --json to one). On a codex that is not in full-bypass mode, expect two things — neither is a cc-fleet bug, so set the user's expectation rather than reporting a failure:

  • Approval prompts are normal. A non-bypass approval policy asks the user to approve each cc-fleet … shell call; a fan-out or chunked wait re-prompts. Say so up front — approving is expected; to reduce the prompts the user can lower the approval friction (--ask-for-approval, a less-restrictive mode) or run codex bypassed.
  • A sandbox can block the provider call. A workspace-write sandbox disables network by default, so the claude -p child cannot reach the provider and the leaf fails looking like PROVIDER_UNREACHABLE / a timeout — the real cause is the sandbox, not the provider. Heuristic: cc-fleet doctor is locally clean but every provider leaf is "unreachable" → the sandbox is blocking egress. Fix it by letting that command reach the network — approve the escalation codex offers, have the user enable network for the workspace-write sandbox, or run codex bypassed if they accept that.

When to use it

  • One-shot research / analysis / judgement — you want an answer, not a long-lived colleague.
  • Batch fan-out — N independent tasks in parallel. subagent is lock-free, so N calls don't serialize behind a server lock the way N spawns do — true parallelism.
  • Cost-bounded probes--timeout caps wall-clock; the return value carries usage / total_cost_usd; it stops when done (nothing to forget to tear down).

The provider ask ladder (ask at most once per task)

  • The user named a provider or model → use it.
  • Else run cc-fleet default --json: if it returns a provider (source "configured" or "auto"), use it and STATE it in your kickoff line (e.g. "using glm (default)").
  • Else (several providers, none default) ask the user ONCE which to use — list the enabled providers from cc-fleet list --json (name + default_model + the one-line note in cc-fleet-shared/providers.md). After they pick, run cc-fleet default <chosen> so you never ask again. (cc-fleet default <p> is user-layer; only run it to FILL a blank default, never with --force.)
  • A mid-task provider failure (insufficient balance / rate limit / auth) → STOP, tell the user what happened, propose the next provider, and WAIT for their confirmation. Never switch providers silently.

Model tier within a provider: fan-out / leaf work → omit --model (or --model fast); judge / synthesis / sustained work → --model strong. The provider's roster decides the actual model — see cc-fleet-shared/providers.md.

The reserved native leaf — claude. cc-fleet subagent claude … runs the official claude CLI on the user's OWN Claude Code login (their subscription OAuth or whatever they're logged in as) — no providers.toml row, no profile, no key material. A NAMED deliberate choice, never the auto-default (cc-fleet default claude errors; it never auto-resolves). --model takes a literal id (opus / sonnet / a full id) — the slot keywords default/strong/fast are rejected (no roster); omitted = claude's login default, which is typically the most expensive tier, so naming a model is usually wise. Profiles apply unchanged. The leaf spends the lead session's own subscription window — use it for one or two synthesis / judgement nodes, never a wide fan-out.

cc-fleet subagent claude --model opus --prompt "<synthesis over the gathered notes>" --json

Calling it (run with your shell tool, always with --json)

cc-fleet subagent --prompt "<task>" --label "codex/<cwd-basename>/<short>" --json   # no provider arg → default provider
cc-fleet subagent deepseek --model strong \
  --prompt "Analyze the worst-case complexity of quicksort in src/sort.go; give a triggering input" \
  --label "codex/cc-fleet/quicksort" --json

Label every job. A codex-launched job is grouped on the Agents Board under your Codex launcher (a codex <thread> header, not (no session)); a --label "codex/<cwd-basename>/<short>" still helps you tell your jobs apart within that group.

Expected-large output → redirect --json to a file and read the file, sidestepping any shell-output cap: cc-fleet subagent … --json > out.json, then read out.json.

The provider arg is optional — with no provider, cc-fleet uses the default. NO_DEFAULT_PROVIDER / DEFAULT_PROVIDER_DISABLED / DEFAULT_PROVIDER_UNKNOWN in the failure envelope mean there is no usable default — apply the provider ask ladder above.

Useful flags (full list: cc-fleet subagent --help):

  • Name it--label "<short-alias>" (e.g. --label sort-complexity). The Agents Board shows the label instead of the opaque job id — pass one on every launch, like a teammate name. Display-only metadata; capped at 256 bytes.
  • Large / sensitive prompt--prompt-file <path> (read from file, piped via stdin, kept out of argv / ps). Use it once a single prompt approaches ~128 KiB (MAX_ARG_STRLEN, the per-argument cap — not the ~2 MB total ARG_MAX). --prompt-file - reads stdin.
  • Long task--timeout 600s (default 300s). For tasks that may exceed the timeout, raise --timeout or use --background (below). Note: a provider that's down on auth (401) or quota (429) makes claude retry ~180s before surfacing KEY_INVALID / INSUFFICIENT_BALANCE, so keep --timeout ≥ ~200s (the 300s default is fine) — a shorter timeout reports those as SUBAGENT_TIMEOUT instead. --probe does not catch a bad key (the models endpoint may not 401 it).
  • Cost / runaway gates--max-budget-usd 0.5 (cap spend) and --max-turns (cap the agentic tool loop). On fan-out, strongly consider a budget cap on every call. Size --max-turns generously up front — a read-heavy / multi-file / git-inspecting task spends ~1 turn per file read or command, so give it 30–50 (or omit it); a small cap (8/10) starves it and the leaf fails SUBAGENT_MAX_TURNS mid-task (budget ~$0.3–0.9 for such a leaf).
  • Prompt profileslim is the DEFAULT; read-only research → --profile slim-ro; --profile full ONLY to compare against a full session or diagnose a suspected slim regression. --tools REPLACES the whole tool set, never appends. Write prescriptive prompts ("Run cmd", "Use the Read tool on X"), not "look at" / "check" — weak provider models skip tools on weak imperatives under any profile. Tool whitelists / --skills / --mcp defaults / downgrade behavior: cc-fleet-shared/providers.md.
  • Probe is off by default (--probe to opt in): the inner claude -p call is itself the authoritative reachability + auth test. On a big fan-out, run one shared cc-fleet doctor / probe up front rather than paying 3s × N.
  • --prompt and --prompt-file are mutually exclusive — pass exactly one (else error_code=SUBAGENT_BAD_ARGS, no claude launched).

Success envelope

{"ok":true,"result":"<answer text>","provider":"deepseek","model":"deepseek-reasoner",
 "duration_ms":12044,"usage":{"input_tokens":812,"output_tokens":1530},
 "total_cost_usd":0.0031,"session_id":"…"}

→ Take .result as this subagent's output and hand it back / continue orchestrating. model is the model the provider actually billed (routing evidence). Keep .session_id if you intend a multi-turn follow-up (below).

Failure envelope — dispatch on error_code (do not parse prose)

error_msg is a canonical string only; never matched on. Dispatch on error_code:

| error_code | Meaning | What you do |

|---|---|---|

| SUBAGENT_BAD_ARGS | Missing/both --prompt & --prompt-file. | Fix the call (exactly one). |

| NO_DEFAULT_PROVIDER | No provider arg and no default configured. | Apply the provider ask ladder. |

| DEFAULT_PROVIDER_DISABLED | The default provider is disabled. | Apply the provider ask ladder; or the user re-enables via cc-fleet edit <provider> --enable. |

| DEFAULT_PROVIDER_UNKNOWN | The default names a provider that no longer exists. | Apply the provider ask ladder; the user re-pins with cc-fleet default <p>. |

| DEFAULT_PROVIDER_RESERVED | default_provider is hand-set to the reserved claude (explicit-only). | The user runs cc-fleet default --unset or re-pins a real provider; don't retry. |

| CONFIG_LOAD_FAILED | providers.toml failed to load/validate. | cc-fleet doctor; surface to the user — don't retry. |

| UNKNOWN_PROVIDER / PROVIDER_DISABLED | Provider not configured / disabled. | Tell the user to cc-fleet add / cc-fleet edit <provider> --enable. |

| PROVIDER_RESERVED | A providers.toml row is named claude (reserved for the native leaf). | Tell the user to rename or cc-fleet remove claude; spawn still uses the row meanwhile. |

| FINGERPRINT_MISSING | An existing ~/.config/cc-fleet/fingerprint.json is corrupt (a fresh install uses the bundled recipe, so this is rare). | cc-fleet doctor --json confirms. Tell the user to remove ~/.config/cc-fleet/fingerprint.json — cc-fleet then falls back to the runtime-usable bundled recipe — and retry. (Re-snapshotting a custom recipe needs cc-fleet refresh-fingerprint from a Claude Code session; it is not available from Codex.) |

| FINGERPRINT_STALE | No claude binary found anywhere (not a missing recipe). | Tell the user to install/fix Claude Code or PATH; the self-heal flow can't help. cc-fleet doctor confirms. |

| KEY_INVALID | Provider 401/403. | Have the user rotate the key; do not retry blindly. |

| INSUFFICIENT_BALANCE | Out of balance / quota (429/402 + balance signature). | Retry can't help — propose the next provider (provider ask ladder, step 4) or handle it in the main session yourself; tell the user they're out of credit. |

| RATE_LIMITED | Provider 429. | Wait briefly, retry once, or propose a switch (provider ask ladder, step 4). |

| MODEL_NOT_FOUND | Model name rejected (400). | cc-fleet refresh <provider> then retry, or drop --model to use the default. |

| PROVIDER_UNREACHABLE | Transport failure (only with --probe). | cc-fleet doctor; if urgent, handle it in the main session yourself. |

| SUBAGENT_TIMEOUT | Exceeded --timeout. | Real long task → raise --timeout (or use --background) and retry; suspected hang → switch provider / fall back (with user confirmation). |

| PROVIDER_API_ERROR | Other provider failure (5xx / overloaded). | Retry once or propose a switch. |

| CODEX_PROXY_UNAVAILABLE | The codex conversion daemon could not start (no login, or the loopback port is held). | Tell the user: cc-fleet codex login, or free / change the port (cc-fleet codex add --port <n>). |

| CODEX_CLOUDFLARE_BLOCKED | The ChatGPT backend's edge blocked this IP/client — not a key problem. | Switch network/IP or retry later; don't rotate credentials. |

| SUBAGENT_MAX_TURNS | claude hit the --max-turns cap without finishing (the spent cost is surfaced — not silently $0). | Raise --max-turns (or omit it) and retry — a read-heavy / multi-file task needs ~1 turn per file read or command; a genuinely long task can use --background. |

| SUBAGENT_FAILED | claude exited with no parseable result (or budget exhaustion). For a claude native leaf on a logged-out machine, this is the login failure — the error preview names it (no dedicated code). | Inspect; retry or switch provider. A logged-out native leaf → tell the user to log in to Claude Code interactively. |

| SUBAGENT_OUTPUT_TOO_LARGE | The child's stdout/stderr exceeded the byte cap; the run was killed. | Have it write its output to a file and return a short answer (or narrow the ask) — a blind retry overflows again. |

| SUBAGENT_STOPPED | An operator stopped the job (workflow stop / a leaf stop) — terminal, NOT a failure. | Never auto-retry; surface it. |

Batch fan-out (parallel, each returns synchronously)

# These calls are independent; subagent is lock-free, so running them
# concurrently won't queue them behind a shared lock.
cc-fleet subagent glm      --prompt "Summarize docs/a.md" --label "codex/docs/a" --json
cc-fleet subagent glm      --prompt "Summarize docs/b.md" --label "codex/docs/b" --json
cc-fleet subagent deepseek --prompt "Summarize docs/c.md" --label "codex/docs/c" --json
# Each returns its own {ok, result, total_cost_usd}; aggregate them.

A flat fan-out only — phases, dependencies, or dynamic orchestration over the results is /cc-fleet:workflow.

Long tasks: synchronous — set --timeout, or --background + poll

cc-fleet subagent is synchronous — your shell tool blocks until it returns the envelope; set --timeout for long tasks (default 300s; raise it for research / many-turn work). If a job must outlive the call (or you want it on the Agents Board), launch it detached and poll yourself:

cc-fleet subagent --prompt "<long task>" --label "codex/<cwd-basename>/<short>" --background --json
# → {"ok":true,"job_id":"<uuid>","status":"running","output_file":"…","pid":…}
cc-fleet subagent-status <job_id> --wait --timeout 120s --json

subagent-status --wait blocks up to --timeout, then exits 124 while the job is still pending — re-issue it in chunks until it settles (codex has no background-task wake). If the codex shell yields with "Process running with session id …", that backgrounded --wait is STILL the live wait — do NOT start a second one; let it return (size each --timeout shorter than your shell's foreground window so it returns cleanly). Exit dispatch: 0 done (envelope has .result) · 1 failed OR stopped — check .status first: stopped is an operator stop, never auto-retry; failed → dispatch on .error_code · 3 held (a workflow-leaf an operator parked — surface it, never wait it out) · 124 still pending (re-issue) · 130 interrupted. Never spawn an agent to poll.

cc-fleet subagent-gc --json prunes finished job files.

Multi-turn: --resume

Continue a prior subagent session (stateful, but not long-lived between turns — each turn is a fresh claude -p --resume):

cc-fleet subagent --resume <session_id> --prompt "<follow-up>" --json

<session_id> is the .session_id from the previous turn's envelope. A default-profile (slim) resume is silent; an explicitly passed --profile over --resume warns on stderr — it swaps the system prompt mid-session. Keep the profile constant across a session's turns.

Cleanup vs. resume — they're independent

A sync subagent has nothing to tear down; "cleanup" only concerns --background job records on the Agents Board. The rules:

  • The one rule that matters: capture .session_id BEFORE pruning if a follow-up is likely. gc deletes cc-fleet's job record (which holds the envelope with the id) but never Claude's transcript — so --resume works after gc *iff* you kept the id, and keeping the record without the id buys you nothing.
  • Prune finished: cc-fleet subagent-gc --json removes finished jobs older than 24h; running jobs are always kept; pinned records are user-owned — never force-remove them. --older-than 0s clears all finished jobs now, but it is machine-wide — codex jobs have no lead session to scope to, so it also sweeps other sessions' finished records; prefer the 24h default and identify your own jobs by their --label.

Anti-patterns

  • Using subagent as a sustained back-and-forth collaborator → it's one-shot/batch; --resume is for a short follow-up, not a long conversation.
  • Chaining subagents into a dependent pipeline by hand → /cc-fleet:workflow.
  • Polling cc-fleet ps --check for a subagent → unnecessary; the result is on stdout.
  • Stuffing a giant prompt into --prompt (hits MAX_ARG_STRLEN ~128 KiB) → use --prompt-file.
  • Running a possibly-stuck provider with no bound → the default --timeout 300s caps it, but tune per task on fan-out, and run genuinely long work via --background (Long tasks above).
  • Spawning / delegating an agent to watch a job → never; re-issue subagent-status --wait --timeout 120s --json yourself in chunks (codex has no background-task wake).
  • Looping on a failure without dispatching .error_code → every --json failure carries a code; switch on it (table above).
  • Switching providers silently after a balance / rate-limit / auth failure → stop, tell the user, wait for their pick (provider ask ladder, step 4).
  • Fanning out N claude native leaves → drains your own subscription window; use a metered provider for breadth, claude only for one or two synthesis nodes.

How to use it

Copy the folder

Take ethanhq/cc-fleet-subagent from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.