Conciseness

Prose is expert-density and assumes Claude's competence (no explaining ARR, NRR, or discounting basics), but the same content repeats across sections: the precedent-loop anecdote ('Reps are citing "Maria approved 28% on Acme last quarter"' in When-to-use, 'Letting precedent set policy... Maria approved 28%' in Anti-patterns, and forcing-question 6) and the deal-desk/pricing-strategist boundary appears four times (Purpose, 'Do NOT use this skill', Assumptions, and the Distinct-from table). Consolidating these would cut 20-30% of tokens — more than the 'minor trim instances' of the anchor at 4, but not padded with concepts Claude already knows, so not a 2.

Actionability

Copy-paste-ready commands with exact flags ('python3 scripts/discount_matrix_builder.py --input policy_intake.json --profile saas --output json > matrix.json'), exact intake fields ('arr, discount_pct, term_months, payment_terms_days, strategic_value, win_lost, nrr_12mo per deal'), and concrete expected outputs ('lints to FAIL with 4 BLOCKERs + 6 MAJORs + 2 MINORs'). Falls short of fully-executable because the referenced scripts/ and assets/ files are not present in the bundle, so the commands cannot be run as shipped, and the input JSON schema is only discoverable via --sample.

Workflow Clarity

A clear 5-step sequence with an explicit validation gate ('Resolve every BLOCKER before publishing the matrix to AEs'), THIN-data flags ('Cells with n < 5 observed deals are flagged THIN'), NRR review flags, and a quarterly re-run loop ('Re-run the builder and the linter every quarter'). Not a 5 because the fix→re-validate loop is implied rather than stated — after resolving BLOCKERs there is no explicit instruction to re-run policy_linter.py and confirm PASS before publishing, which is the exact 'minor validation gap' of the anchor at 4.

Progressive Disclosure

Section structure is good and references are clearly signaled (a References section with per-file descriptions and source counts), but the actual bundle contains no references/, scripts/, or assets/ directories — every referenced path (discount_governance_canon.md, policy_design_template.md, the three .py scripts) is absent, so the disclosed structure cannot be verified. Additionally, substantial content that belongs in a reference file — the 8-question forcing-question library with recommended answers and canon citations (~35 lines) — is inlined in SKILL.md, fitting the 'could be better organized / content that should be separate is inline' anchor at 3 rather than the 'appropriately placed' anchor at 4.

Specificity

Lists multiple concrete capabilities with dimension-level detail: 'discount matrix design (ARR band x term length x payment terms x strategic value)', 'exception flows', 'approval thresholds', and 'policy linting (contradictions, gaps, cliff edges, gaming surfaces)'. Coverage spans all three of the skill's tools with no gaps, matching the comprehensive-coverage anchor rather than the 'minor gaps' anchor at 4.

Completeness

Explicitly answers both questions with concrete triggers: what ('designing or revising a company's commercial policy — the rules of engagement governing discounts off list price, approver thresholds, exception flows') and when ('Use when designing or revising...', 'For Head of Commercial, Head of Deal Desk, VP Sales, or RevOps at the policy-design moment'). The 'when' is fully explicit including role targeting and negative boundaries, exceeding the 'could be more explicit' anchor at 4.

Trigger Term Quality

Natural phrases the target user would actually say are densely present: 'commercial policy', 'discount matrix', 'discount governance', 'approval thresholds', 'exception flows', 'discounts off list price', plus role names ('Head of Deal Desk', 'RevOps'). Synonym coverage (discount policy / commercial policy / governance) is thorough; nothing natural is missing for this domain.

Distinctiveness Conflict Risk

Hard negative boundaries ('NOT per-deal application (that is deal-desk) and NOT pricing model selection (that is pricing-strategist)') explicitly disambiguate the two closest siblings. Clear niche — designing the policy artifact versus applying it per deal — with minimal conflict risk.