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description: Per-deal review. Score margin + risk, route discount approval to the right human, redline T&Cs against commercial policy. Never auto-approves. Direct invocation of the deal-desk skill. argument-hint: "<deal context: ARR, term, discount, customer tier, strategic value>"

/cs:deal-review — Per-deal scoring + discount routing + redline

Run the deal-desk skill on this input:

$ARGUMENTS

Three-tool workflow

1. deal_scorer.py — Score deal 0-100 across 5 dimensions: margin (gross margin after discount), risk (payment terms + redline count), strategic value (logo / reference / expansion), commercial fit (within policy band), term shape (multi-year vs annual). Industry tuning via --profile. Verdict: APPROVE / REVIEW / ESCALATE / DECLINE + named human approver.

2. discount_approval_router.py — Route discount to the right approver tier (defaults: 0-15% AE, 15-25% Manager, 25-35% Director, 35-50% VP, 50%+ CFO/CRO). Outputs approval chain with the deal's hop points highlighted + estimated approval cycle days.

3. terms_redliner.py — Detect 10+ founder/seller-killer patterns: uncapped indemnity, missing DPA when EU data involved, MFN pricing, auto-renew without notification, perpetual license-back, exclusivity without compensation. Output: ranked redline list with severity + standard counter + named legal approver.

Output

• Deal scorecard with per-dimension breakdown + verdict
• Discount approval chain (named humans)
• Redline list with severity + counter language
• Top 3 next actions

Hard rule

This skill never says "approved". It always outputs a recommendation + named human approver.

Distinct from

• cs-pricing-strategy — that sets the pricing model. This handles per-deal decisions.
• business-growth/contract-and-proposal-writer — that's authoring. This is approval gate.
• commercial-policy (sibling) — that designs the policy. This applies it per deal.
• c-level-advisor/general-counsel-advisor — that's legal redline at deeper level. This is commercial redline against policy.