Conciseness

The body is lean and assumes competence: no space is spent explaining what PHI, HIPAA, or de-identification libraries are; tables carry the method and field information compactly, and every section delivers skill-specific facts (attribute names, thresholds, mapping-handling rules). It fits the anchor-5 'every token earns its place' profile rather than anchor 4's 'minor instances of over-explanation'.

Actionability

Two fully executable code blocks (the quick start and the consistent-surrogates/reversibility example with an assert), a before/after redaction example in comments ("Patient [NAME] (MRN [ID_NUM])"), and a field table with exact attribute names give copy-paste-ready guidance covering the common cases, which matches the anchor-5 example.

Workflow Clarity

The 6-step Workflow is clearly sequenced with real checkpoints (step 3: inspect pii_entities by offset and label to confirm coverage; step 6: "Verify, don't assume" with audit=True and the 18-identifier checklist), so the destructive/batch cap at 3 does not apply. However, an explicit error-recovery branch is absent — there is no 'if coverage is incomplete, lower confidence_threshold and re-run' instruction tying the safety-dial guidance into the workflow — so it sits at anchor 4 rather than anchor 5's feedback loops for error recovery.

Progressive Disclosure

There are no bundle files (no references/, scripts/, or assets/), and none are needed: all inline content is overview-appropriate with nothing that clearly belongs in a separate file inlined. Sections are well organized and sibling-skill pointers are clearly signaled one level deep (e.g., 'See configuring-privacy-policies', 'auditing-deidentification-runs', 'shifting-clinical-dates'), matching the anchor-5 'clear overview with well-signaled one-level-deep references'.

Specificity

Concrete actions are enumerated directly ("Remove, mask, or replace PHI/PII in clinical free text on-device with OpenMed's deidentify()") and comprehensively extended by "(mask vs remove vs replace vs hash vs shift_dates)" plus parameter-level coverage (confidence_threshold, consistent+seed, keep_mapping, policy= profiles, DeidentificationResult fields). This matches the anchor-5 comprehensive-coverage example; it exceeds anchor 4, which expects minor gaps.

Completeness

Both halves are explicit: the what ("Remove, mask, or replace PHI/PII in clinical free text on-device with OpenMed's deidentify()") and a concrete when clause ("Use when the user needs to de-identify medical notes, strip patient identifiers, redact PHI before sharing or analysis, anonymize discharge summaries, or pick a de-id method"). This mirrors the anchor-5 example structure; anchor 4 would require a when-clause that 'could be more explicit', which is not the case here.

Trigger Term Quality

Natural user phrases are strong ("de-identify medical notes", "strip patient identifiers", "redact PHI before sharing or analysis", "anonymize discharge summaries"), but a few common natural terms in this domain are missing — notably HIPAA / Safe Harbor and synonyms like "sanitize" or "scrub". Good keyword coverage with a few natural terms missing fits anchor 4; it is well above anchor 3's 'some relevant keywords but missing common variations'.

Distinctiveness Conflict Risk

A clear clinical de-identification niche with distinct triggers, and it explicitly disambiguates adjacent skills ("Pairs with OpenMed extract_pii (detect spans), reidentify (restore), configuring-privacy-policies, and auditing-deidentification-runs"), minimizing conflict risk — matching the anchor-5 'clear niche with distinct triggers; minimal conflict risk'.