Conciseness

The body is lean and assumes Claude's competence — no explanations of what a TEE or LLM inference is — with every section carrying operational instructions. Minor trimming is possible (the API-key-from-environment-variable rule is stated twice, in Workflow 1 and the Verification section), so it matches anchor 4 rather than the every-token-earns-its-place anchor 5.

Actionability

Provides concrete, executable guidance: exact endpoints ('POST /v1/inference', 'GET /v1/inference/{id}'), a real request JSON shape with fields, the '202 Accepted' success shape, poll cadence (2-5 s), and terminal statuses. Not anchor 5 because no fully copy-paste-ready curl or code sample appears inline — the runnable examples are deferred to references/code-examples.md.

Workflow Clarity

Two clearly sequenced workflows with explicit success criteria (202/queued, save the id), polling loop with both terminal statuses, and failure handling ('or error on failure', 'treat failed or non-JSON output as failure and create no report'). Minor validation gaps — no explicit retry guidance on transient failure — keep it at anchor 4 rather than 5.

Progressive Disclosure

SKILL.md is a concise overview with four clearly signaled, one-level-deep references ([curl example and language guidance](references/code-examples.md), [API specification](references/api-reference.md), [troubleshooting](references/troubleshooting.md), [four use-case templates](references/prompts.md)), all of which exist in the bundle as separate files. This matches the clear-overview anchor 5.

Specificity

Lists three concrete actions ('Runs LLM inference over a private document inside a TEE', 'returns an attested result', 'keeps the raw document in the TEE') with minor gaps in coverage (submit/poll workflows and EVM delivery are not mentioned). It exceeds anchor 3 (1-2 concrete actions) but is not comprehensive, matching anchor 4.

Completeness

Clearly answers 'what' (TEE-based private-document LLM inference returning an attested result) and 'when' via the explicit trigger clause 'It applies to private inference, attested AI, confidential AI, and sensitive-document analysis, including...' with concrete trigger phrases — matching anchor 5. The fragment 'No document upload means chainlink-cre-skill' is awkward but does not remove the explicit trigger guidance.

Trigger Term Quality

Includes natural phrases users would say — 'private inference, attested AI, confidential AI, and sensitive-document analysis, including lending, accredited-investor, KYC/AML, and proof-of-reserves' — plus domain use cases. Not anchor 5 because common synonyms and concrete file/extension triggers (e.g., 'private LLM', PDFs) are absent.

Distinctiveness Conflict Risk

A clear niche (Chainlink confidential/attested document inference in a TEE) with mostly distinct trigger terms; minor overlap risk with generic privacy, redaction, or local-model skills, matching anchor 4 rather than the minimal-conflict anchor 5.