Conciseness

Mostly efficient with terse bullets and command blocks, but the dense 'Environment contract' paragraph, the multi-line W&B python template, and the full AGENTS.md example could be tightened or offloaded. Fits anchor 3 ('mostly efficient but includes some unnecessary explanation or could be tightened'); not 4 given the wordy env-contract prose.

Actionability

Concrete, near-executable commands throughout (nvidia-smi query, rsync filter rules, the full screen + conda-hook launch line, 'modal run'). Minor gaps: the Feishu step gives no concrete send command, and 'config={...hyperparams...}' is placeholder pseudocode. Anchor 4 ('concrete code or commands with minor gaps'); not 5 because of those gaps.

Workflow Clarity

A clear 7-step sequence with explicit validation checkpoints: pre-flight GPU check, a dedicated 'Verify Launch' step, and a guarded auto-destroy flow ('Verify the target process has exited', 'If any artifact copy fails, do not destroy') plus error-recovery guidance for Modal/Vast failures. Destructive-operation validation is present, so the cap does not apply; matches anchor 5.

Progressive Disclosure

Header structure is good, but no bundle files exist and the ~50-line W&B section and AGENTS.md template are inlined rather than split into references. The sole external reference ('../shared-references/compute-env-contract.md') is a buried parenthetical rather than clearly signaled navigation. Fits anchor 3 ('content that should be separate is inline; references not clearly signaled').

Specificity

Names the domain ('ML experiments', 'local or remote GPU servers') and two concrete actions ('Deploy and run'), but stops short of listing several specific capabilities. Matches anchor 3 (domain plus 1-2 concrete actions, not comprehensive); not 4 because it does not enumerate multiple specific actions.

Completeness

Explicitly answers both what ('Deploy and run ML experiments on local or remote GPU servers') and when ('Use when user says...') with concrete quoted trigger phrases, closely mirroring the anchor-5 example. Not 4 since the 'when' clause is already explicit and specific.

Trigger Term Quality

Natural trigger phrases are present ('run experiment', 'deploy to server', 'launch training jobs', plus the Chinese synonym '跑实验'). Not 5: common variations like 'train model', 'start training', or 'launch a run' are missing; not 3 because coverage clearly exceeds 'some relevant keywords'.

Distinctiveness Conflict Risk

A clear niche (ML experiment deployment on GPU servers) with distinct triggers; unlikely to fire for unrelated skills. Matches the anchor-5 'clear niche with distinct triggers; minimal conflict risk'.