Conciseness

Largely lean — no basic-concept explanations, dense tables, and tight gate/question lists — but the opening paragraph previews routing, compiling, and forked intake that later sections restate (e.g., 'Heavy intake stays in the forked context; the parent gets a digest' duplicates the Hand-off digest rule). Anchor 4 fits: efficient with minor trimming possible; not anchor 5 because of this duplication.

Actionability

Both core commands are copy-paste executable with full flags ('python3 scripts/goal_router.py --out-dir ./my-agent'; the loop_compiler.py invocation with --max-iterations/--cron/--timezone/--nest-outcome), exit-code semantics (0/3/4) are documented, goal_state.py init is shown with a real example, and the hand-off contract names the exact fields to pass. Guidance is fully executable.

Workflow Clarity

Clear sequence (run router → act on exit code → compile loop → fork to sub-skill → goal_state.py advance → digest) with explicit validation checkpoints and feedback loops: exit 3 ASK and exit 4 REFUSE each define an ask-then-re-route recovery loop, and the four pre-flight gates ('No goal set', 'Goal too vague', 'Never make API calls', 'Never print the key') act as a hard-refusal checklist.

Progressive Disclosure

References are clearly signaled as markdown links and the body is well-sectioned, but the actual bundle (SKILL.md + scripts/ with goal_router.py, goal_state.py, loop_compiler.py) contains none of the cited documents: ../../references/cma-primitives.md and ../../references/loops-and-workflows.md escape the skill directory two levels up and do not exist, and interview-to-config.md is cited with no resolvable path. Clearly signaled but broken against the real bundle structure — better than anchor 2's buried/inlined-content problems, short of anchor 4's 'minor organization gaps'.

Specificity

Names multiple concrete, artifact-level actions: 'Reads the per-session goal (./my-agent/goal.json)', 'routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py', 'compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py', and 'All launches are emitted as BYOK curl'. Coverage spans build, launch, grade, schedule, and routing — comprehensive with no vague filler.

Completeness

Explicitly answers when via 'Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account' with concrete trigger phrases, and fully answers what (goal reading, five-phase routing, loop compilation, BYOK launch emission, no API calls). Both are explicit, not implied.

Trigger Term Quality

Includes five quoted natural user phrases — 'build me an agent', 'launch this as a managed agent', 'run this on a schedule', 'grade my agent against a rubric', 'set up a nightly worker' — covering the build/launch/grade/schedule intent variations a user would naturally say. Nothing obvious is missing.

Distinctiveness Conflict Risk

Carves a clear niche (CMAs in the user's own Anthropic account) and explicitly disambiguates the two nearest siblings: 'Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs)'. Third-person voice throughout, so no specificity penalty applies.