Conciseness

The body is efficient — tables for library choice and symptom/issue mapping, tight code blocks, and no padding explaining what localization is. Minor over-explanation keeps it from a 5: the overview's readability point is restated after the examples ("The output stays readable to English-speaking QA"), and the letterMultiplier explanation repeats the inline comment in the code block.

Actionability

Mostly executable guidance: a complete i18next-pseudo config, a Playwright spec, and a CI snippet are all copy-paste ready, and the per-stack table gives concrete library names. It falls short of fully-executable 5 because the Step 3 activation snippet is vague ("or whatever the pseudo-locale code is") and the FormatJS/Django table rows give direction rather than runnable steps, deferring detail to the manual-transform fallback.

Workflow Clarity

Steps 1-7 are clearly sequenced, and Step 3 contains an explicit validation checkpoint with an error-recovery loop: "Verify the pseudo-locale is active... If the page still shows plain English, the locale did not activate - fix the lng param or cookie and reload before continuing." The worked example and anti-patterns table close the loop (detect → fix → re-run clean), matching the 5 anchor's explicit validation and feedback loops; the operation is non-destructive so no cap applies.

Progressive Disclosure

The SKILL.md is a well-organized overview with clearly signaled, one-level-deep references: [references/manual-transform.md](references/manual-transform.md) is linked from Step 7 and the References section, exists as a real file, and contains the promised self-contained script with no nested references. This matches the 5 anchor of a clear overview with well-signaled single-level references and appropriately split content.

Specificity

"Replaces strings with accented, 35%-longer variants to expose hardcoded text, truncation, encoding and bidi problems" names the mechanism and four concrete problem classes it surfaces, matching the 'several specific actions; minor gaps' anchor. It is not a 5 because it describes one transformation mechanism with its effects rather than multiple distinct concrete actions.

Completeness

It explicitly answers both questions: 'what' ("Replaces strings with accented, 35%-longer variants to expose hardcoded text, truncation, encoding and bidi problems") and 'when' with a concrete "Use when..." clause listing three trigger scenarios. This matches the 5 anchor ('clearly and explicitly answers both what AND when with concrete trigger phrases'); the 4 anchor's weaker 'when' does not apply since the triggers are explicit and multiple.

Trigger Term Quality

Natural trigger phrases are present — "preparing an app for translation", "checking localization infrastructure", "when pseudo-localization comes up" — which users would plausibly say. It falls short of the 5 anchor because common variations like "i18n", "l10n", "internationalization", or "translatable strings" are absent, while clearly exceeding the 3 anchor's 'missing common variations or synonyms' by including multiple natural phrasings.

Distinctiveness Conflict Risk

Pseudo-localization is a clear niche with its own trigger term ("when pseudo-localization comes up"), making confusion with unrelated skills unlikely. However, "preparing an app for translation" and "checking localization infrastructure" could also plausibly match a real-translation or i18n-auditing skill, which is minor overlap with closely related skills — the 4 anchor — rather than the 5 anchor's minimal conflict risk.