Conciseness

The body is table-driven and high-signal (parameter names, thresholds, evidence tiers), assuming Claude's competence rather than explaining basics. It is not 5 because the note "*(requires NVIDIA_API_KEY env var; free key at build.nvidia.com)*" is repeated in ~7 table rows and then again in its own "NVIDIA NIM Requirements" section — clear trimmable duplication; not 3 since the rest is lean.

Actionability

Concrete, specific guidance throughout: exact parameter names ("diffusion_steps (NOT num_steps)", "pdb_string (NOT pdb)"), a wrong-vs-correct mistake table, numeric thresholds (pLDDT >85, 40 RPM), output filenames, and a completeness checklist. It is not 5 because no executable command or code sample for the common case appears in the body — all code is deferred to reference files; not 3 because the guidance is far more specific than pseudocode-level hints.

Workflow Clarity

A clear six-phase sequence with validation checkpoints (Phase 4 structure validation, "All sequences validated (ESMFold), pLDDT/pTM reported, >= 3 passing" in the checklist, and evidence-grading tiers). It is not 5 because there is no inline validate→fix→retry feedback loop — what to do when pLDDT/pTM fails is only vaguely gestured at via "fallback chains" that live in a reference file; not 3 because checkpoints and gates are explicit rather than implicit.

Progressive Disclosure

The body itself is well organized with clear sections, and the "Reference Files" section signals one-level-deep references with per-file descriptions — good form. However, none of the five referenced files (DESIGN_PROCEDURES.md, TOOLS_REFERENCE.md, EXAMPLES.md, CHECKLIST.md, design_templates.md) exist in the bundle; the references/ directory is absent, so every reference is dangling and navigation fails. This drops it to 3: structure is present but the cross-file organization does not actually work; not 2 because the in-file structure and reference signaling are genuinely good.

Specificity

The description lists multiple concrete actions with named tools and metrics — "RFdiffusion backbone generation, ProteinMPNN sequence design, structure validation (pLDDT, pTM, MPNN scores)" — in third-person voice, with no vague filler. This matches the 5 anchor (multiple specific concrete actions, comprehensive coverage) rather than 4, since there are no meaningful gaps in capability coverage.

Completeness

Both parts are explicit: the "what" is the three named design/validation actions, and the "when" is a concrete trigger clause — "Use for designing therapeutic protein binders, novel scaffolds, enzyme variants, and miniprotein/protein-interface design before experimental validation." This clearly matches the 5 anchor; the when-clause is explicit and specific, not merely implied as at 4.

Trigger Term Quality

Good natural-term coverage: "protein binders", "novel scaffolds", "enzyme variants", "miniprotein/protein-interface design", plus tool names users would say (RFdiffusion, ProteinMPNN). It stays at 4 rather than 5 because common variations like "protein engineering", "structure prediction", or "protein optimization" are absent.

Distinctiveness Conflict Risk

A clear niche (AI-guided therapeutic protein design with RFdiffusion/ProteinMPNN) with distinct trigger phrases and minimal overlap with other skills' domains. It is not 4, because the tool-specific vocabulary makes triggering for the wrong skill unlikely.