Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Delegates tasks to Meta's Muse Code CLI (muse) via delegation-core. Use when delegation-core selects Muse or repository-scale work needs a 1M-token context.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Muse Code is Meta's terminal coding agent, released August 2026 and built on Muse Spark 1.2. It runs either as an interactive TUI or as a one-shot headless command, and the headless form is what delegation uses.
The binary is muse. Meta publishes no npm or PyPI package for it:
the documented install is a script served from Meta's own domain.
delegation-core selected muse for the taskmuse exec is designed for
CIMETA_API_KEY is unset and the run cannot be interactive--model flag
for exec, so the CLI default standsexeccurl -fsSL https://dev.meta.ai/install.sh | sh
This pipes a remote script into a shell. Read https://dev.meta.ai/docs/muse-code before running it. The guided installer offers the same command and shows its source first:
make -C plugins/conjure delegate-setup
Meta documents the environment variable as the CI path:
export META_API_KEY="<your-key>"
muse exec "Run the test suite and summarize failures."
A bare muse prompts for browser sign-in on first run, which is not
usable unattended. There is no muse auth status command, so the
service declares an empty auth probe and verification checks
META_API_KEY instead.
uv run python scripts/delegation_executor.py muse "Summarize this module" \
--files src/
make -C plugins/conjure delegate-muse PROMPT='Explain this design'
muse exec "Explain the retry logic in this package"
muse declares the strengths code_execution and large_context,
and ranks behind gemini, qwen, minimax and glm in the candidate order.
It declares no model ids, so smart_delegate leaves model selection
to the CLI rather than passing a flag Meta does not document.
| Property | Value |
|---|---|
| Binary | muse |
| Headless form | muse exec <prompt> |
| Prompt delivery | positional, no flag |
| Version probe | muse --version |
| Auth probe | none published |
| Auth | META_API_KEY |
| File context | inlined, no @path syntax |
The prompt is positional. A command ending in a flag would consume the
prompt as that flag's value, which is why the service config sets
prompt_flag=None and the War Room expert's command ends at
muse exec.
Two claims circulating in third-party guides are not in Meta's own
documentation and are not relied on here: a --json flag streaming
JSONL events to stdout, and muse auth set --api-key-stdin. The
confirmed JSONL reference is to on-disk session logs. Treat both as
unverified until Meta documents them.
muse resolves on PATH and muse --version answersMETA_API_KEY is set, or the operator accepted an interactive
sign-inmuse exec <prompt> with the prompt as the
final argument and no prompt flag before it@path referencesdelegations/muse/YYYYMMDD_HHMMSS.mddelegation-core selected muse, not by
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
The English summary is being prepared. Showing the original description.