Conciseness

The body is lean and assumes Claude's competence: short framed sections, a routing table, two compact command blocks, and a numbered forcing-question library — no explanation of concepts Claude already knows. The only trimmable bits are the provenance line ('Inspired by Anthropic's launch-your-agent reference skill (Apache-2.0)') and the opening paragraph echoing the description, which are minor; the content fits the 'every token earns its place' (score 5) anchor better than 'minor instances of over-explanation' (score 4).

Actionability

Mostly executable: copy-paste commands with documented exit-code semantics ('python3 scripts/goal_router.py --out-dir ./my-agent' with exit 0/3/4 meanings) and a fully flagged 'loop_compiler.py' invocation, plus concrete per-question recommendations and citations. It falls short of score 5 because the hand-off step ('fork to the sub-skill with: the goal string, agent_name, out_dir, and the compiled plan.v1') is described but not given as a runnable command, and no sub-skill invocation example is shown.

Workflow Clarity

The sequence is explicit and validated: read goal → run router → act on exit code → compile loop → fork to sub-skill → 'goal_state.py advance' → parent digest. Error-recovery feedback loops are explicit ('exit 3 ASK -> ask the one printed forcing question, then re-route'; 'exit 4 REFUSE -> ... get one sentence, then re-route'), and the 'Pre-flight gates (hard refusals)' section adds checkpoints ('Never route on under-3-word goals'). This matches the score-5 anchor (clear sequence, explicit validation, feedback loops); it is not score 4 because checkpoints are present throughout, not just most.

Progressive Disclosure

Good overview structure with clearly signaled references ('[`../../references/cma-primitives.md`](...)' and '[`../../references/loops-and-workflows.md`](...)') and a tools index — mostly matching the score-4 anchor. It is not score 5 because the referenced paths point outside the skill folder ('../../references/'), no bundle files exist alongside SKILL.md so the references cannot be verified to ship with the skill, and 'interview-to-config.md' is cited by bare name in the forcing-question library without a link or path.

Specificity

Multiple concrete actions are explicitly listed: 'build, launch, grade, or schedule a Claude Managed Agent (CMA)', 'Reads the per-session goal (./my-agent/goal.json)', 'routes deterministically to one of five phase sub-skills', 'compiles the goal+phase into an execution shape', and 'All launches are emitted as BYOK curl'. This matches the score-5 anchor (multiple specific concrete actions, comprehensive coverage); it is not score 4 because coverage of the skill's behavior is complete rather than having minor gaps.

Completeness

Both 'what' ('Reads the per-session goal... routes deterministically to one of five phase sub-skills... compiles the goal+phase into an execution shape') and 'when' ('Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account') are explicit and concrete with trigger phrases, exactly the score-5 anchor. It is not score 4 because the 'when' clause is fully explicit rather than improvable.

Trigger Term Quality

It embeds natural user phrases verbatim — '"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"' — plus 'Use when a user wants to...'. This comprehensively covers natural phrasings and their variations (the score-5 anchor), not merely a good subset (score 4).

Distinctiveness Conflict Risk

The niche is explicit — CMAs in the user's own Anthropic account — and it states 'Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs)', actively disambiguating against the closest neighbors. This is a clear niche with distinct triggers and minimal conflict risk (score 5), not merely 'mostly distinct' (score 4).