Conciseness

The body is dense tables and executable code with zero explanations of concepts Claude already knows; even prose lines carry non-obvious operational facts ('set HF_HUB_OFFLINE=1 so the loader doesn't try to write refs/ into a read-only mount', 'More negative ⇒ less likely under the model'). Every token earns its place, matching anchor 5 rather than the minor-trimming of anchor 4.

Actionability

Most guidance is executable — 'pip install evo2', 'Evo2("evo2_7b")', 'model.score_sequences(seqs)', 'model.generate(prompt_seqs=[...])', and a concrete submit_job call — but 'score_evo2.py' is passed as a job input without its contents being shown, and 'env selection is host-specific' leaves a gap. This fits anchor 4 (mostly executable with minor gaps), not 5, because the pivotal scoring script is referenced rather than provided.

Workflow Clarity

The remote-compute sequence is clearly ordered (read compute_details → create provider → submit_job → wait_for_notification → save_artifacts → attach_job) and the troubleshooting table provides error recovery, but this is a batch workflow ('score_sequences, 200×200bp') with no explicit verification of job results before acting on the payload. Per the rubric's cap on batch operations lacking validation, this sits at anchor 3, not 4.

Progressive Disclosure

No bundle files exist; the single SKILL.md is well-sectioned (Prerequisites, How to run, Models, Output format, Decision tree, Remote compute, Performance, Troubleshooting) and defers orchestration detail to clearly-named one-level-deep external skills ('remote-compute-ssh' / 'remote-compute-modal'). At ~125 lines, some content (troubleshooting and performance tables) could live in reference files, fitting anchor 4 rather than the clean split of anchor 5.

Specificity

The description lists multiple concrete actions — 'Score, embed, and generate DNA sequences', 'Computing per-nucleotide or per-sequence likelihoods for variant effect scoring', 'Embedding genomic windows for downstream classification', 'Generating DNA conditioned on a prefix' — covering all the model's modes comprehensively, matching the anchor for multiple specific concrete actions with comprehensive coverage. It is not 4 because there is no noticeable gap in the action coverage.

Completeness

It explicitly answers both questions: 'what' via 'Score, embed, and generate DNA sequences with Evo 2, a long-context genomic foundation model' and 'when' via 'Use this skill when: (1)...(4)' with four concrete trigger cases. This matches anchor 5; it is not 4 because the 'when' is fully explicit and enumerated rather than merely present.

Trigger Term Quality

Natural domain terms are present ('DNA sequences', 'variant effect', 'embed', 'generate DNA') and the four enumerated use cases map well to what a genomics user would ask for, but common synonyms and variations ('mutation', 'ref/alt scoring', 'genome language model') are missing. Good coverage with a few natural terms absent fits anchor 4, not the comprehensive synonym coverage of anchor 5.

Distinctiveness Conflict Risk

'Evo 2, a long-context genomic foundation model' plus DNA-specific triggers (variant effect scoring, embedding genomic windows, prefix-conditioned DNA generation) carve a clear niche that would not fire for protein models or expression-track predictors. Clear niche with distinct triggers and minimal conflict risk matches anchor 5.