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    Deal Assessment

    1

    Deal assessment: buyer-side due diligence agent for purchases including market research, integrity checks, and negotiation anchors.

    Free

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    Example session with this skill installed

    Assess this deal per public listing (assumed price for 1 piece):

    Hello, we have 2 servers in stock at CityX
    Featuring 8x H100 HGX GPUs
    AS-8125GS-TNHR server — a GPU platform for HPC/AI workloads (8U rackmount form factor).
    Full configuration shown in the 3rd photo

    Price: $650,000 USD (including 22% VAT);
    

    Warranty: 12-month RMA.

    • Read your context and instructions
    • Compiled the deal-assessment

    Deal assessment — Supermicro AS-8125GS-TNHR, 8× H100 HGX — 2026-10-13

    Verdict: WALK at the asking price ·

    Counter-anchor: $430–480k gross (only after verification) ·

    Stop-line: $550k gross


    1. Offer (as stated)

    ParameterValue
    ItemSupermicro AS-8125GS-TNHR, 8U rackmount GPU server
    Configuration8× NVIDIA H100 HGX (SXM5); full config "in 3rd photo" — not provided to this assessment
    Asking price$650,000 USD gross incl. 22% VAT, per unit (2 units in stock)
    ConditionNot stated in listing — UNVERIFIABLE
    Warranty12-month RMA — seller-only, not NVIDIA/Supermicro vendor warranty
    Channel + locationMarketplace-style listing, "CityX"; grey/parallel import implied by price structure
    Payment termsNot stated — open question

    2. Offer integrity (claims + leaks)

    Core claimStatusEvidence
    8× H100 HGX presentUNVERIFIABLENo serials, no invoice, photos not provided
    "In stock" (×2)UNVERIFIABLENo warehouse/serial evidence
    12-mo RMAUNVERIFIABLESeller-only promise on an unrepairable $100k+ HGX baseboard

    Leaks: none available (no photos/EXIF provided). The absence of serials and invoices is itself the signal — the seller avoids the one document that would verify the claims.

    Planted-leak risk: n/a — no materials to mine.

    3. Purpose (stated by buyer)

    Not stated — pivotal open question.

    • Flip: margin-at-entry is negative. Net $533k vs used-node fair value $225–305k and falling (EOL generation) — resale below entry from day one.
    • Own use: benchmark is renting the same capacity (~$125–130k/yr on-demand, less with committed rates) → payback ≈ 4.2+ years on a generation being displaced by B200/B300. Justified only with 2+ years of guaranteed paying load AND a price near fair value.

    4. Counter-party read

    • Interests: cash now for grey-import stock; likely intermediary, not manufacturer. Verification documents (serials, invoices) are against their interest — if they can't provide them, deal space ≈ empty.
    • Non-price currencies: none offered; no urgency tactics visible, but "2 in stock" + minimal listing is a standard mover's ad.
    • Tone: minimal, transactional →

    trader/adversary posture. Anchoring below stop-line is pointless; anchor only after verification passes.

    5. Market research

    BenchmarkValueSourceDate
    New H100 SXM 80GB, per GPU$25–40kgpusmithJul 2026
    Used H100 SXM, per GPU$15–19k (~42% residual)clusterbidQ2 2026
    Fair value, NEW node (component sum)$355–540kcomponent breakdownOct 2026
    Fair value, USED node$225–305kcomponent breakdownOct 2026
    H100 SXM on-demand rental$1.79–1.85/GPU-hr → $125–130k/yr for 8 GPUs 24/7gpubank, gridstackhubSep–Oct 2026
    Residual in 2 years~$180–220k/nodeEOL + B200/B300 pressureest.

    6. Component-level valuation (net, new / used)

    HGX baseboard 225–360k / 140–180k · EPYC 9004 ×2 15–18k / 8–12k · DDR5 ~2.3TB 60–90k / 40–60k · NVMe ~27TB 5–7k / 3–5k · networking 10–13k / 6–9k · chassis 40–55k / 25–40k.
    Sum: $355–540k new / $225–305k used.

    Asking net

    $532,787 ($66,598/GPU; VAT inside price $117,213) = top of the NEW authorized-channel range — for a grey channel that must price at a discount. Rent-alternative payback ≈ 4.2 yrs at today's on-demand rates, longer as rates fall.

    7. Red flags

    1. Grey-import price at or above authorized-channel economics — doesn't converge.
    2. Configuration "from 3 photos", no serials, no invoice.
    3. Seller-only 12-mo RMA on a node whose baseboard is effectively unrepairable outside NVIDIA.
    4. EOL generation; B200/B300 pressing residuals down.
    5. Marketplace + implied "new" + prepay = classic fraud profile; verification mandatory before any money moves.

    8. Execution check

    • Paying: escrow / letter of credit feasible; card or wire prepay to an unverified marketplace seller = NO.
    • Getting value: resale requires import declaration + VAT invoice — seller-dependent; own use requires the same for VAT recovery.
    • Blocked leg: if seller cannot produce serials + invoice, no workaround at this price → verdict stands.

    9. Rights & lock-in

    • Purchase = full ownership; usage unrestricted.
    • Resale gated by import/VAT documentation (seller-dependent — flagged above).
    • No license or unilateral-change clauses apparent; warranty is the lock-in risk (seller-only RMA).

    10. Verdict + negotiation anchors

    WALK at $650k gross. Net $533k prices this above what a verified grey unit can justify: top-of-new-channel money for a discount channel, EOL generation, unverifiable condition, seller-only warranty. Counter-anchor

    $430–480k gross, only after serials/invoice verification and on-site burn-in;

    above $550k gross — leave.

    11. Due-diligence checklist

    • Serials: HGX baseboard + 8 GPU modules + chassis → NVIDIA/Supermicro channel & warranty check (1–2 days)
    • Invoice + import docs (VAT recovery / resale-critical) (same day)
    • Factory seals intact; GPUs in sealed NVIDIA packaging (on-site)
    • DCGM burn-in level 3, 2–4 h, on-site BEFORE payment (half day)
    • Payment via escrow / letter of credit — no prepay (deal-day)
    • Ask "why selling / why 2 units?" — answer consistency check

    12. Open questions

    • Buyer's purpose: own use (which workload, for how long?) or flip? — changes the math materially.
    • Full configuration (CPUs, RAM, NVMe, NICs) — "3rd photo" not provided.
    • Condition claim ("new"?) and its source.
    • Payment terms; who pays shipping/insurance; return logistics for RMA.
    • Seller identity: direct owner, intermediary, or broker?

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Buying high-value hardware, equipment, or assets often involves asymmetric information where the seller holds all the cards. This skill levels the field by performing rigorous buyer-side due diligence. It moves beyond "is this a good price" to analyze seller motives, verify claims, and identify structural risks that could kill the deal post-purchase.

    DISCLAIMER: Advisory only — AI-generated assessment, not financial/legal advice. Verify before you act; you own the decision.

    What it does

    • Offer validation extracts configuration, tax treatment, and condition claims to build a baseline for comparison.
    • Integrity mining audits provided materials for metadata leaks, staged evidence, and factual contradictions.
    • Market benchmarking executes web searches to find retail, secondary market, and rental rates for equivalent capacity.
    • Component valuation breaks down complex offers into individual parts to calculate fair-market value ranges.
    • Execution auditing verifies if payment rails and import/export logistics are actually viable for your specific entity and location.
    • Rights analysis reviews contracts for hidden lock-in, unfavorable license terms, and unilateral fee changes.

    How it works

    1. Supply the offer details via text, screenshots, or links.
    2. Define your purpose, such as internal use, resale, or speculative investment, to set the valuation math.
    3. The agent performs research and integrity checks, flagging red-flags like missing serials or suspicious prepay terms.
    4. Review the generated Markdown report containing the valuation, counter-party analysis, and a final verdict.

    Frameworks & tools

    This skill utilizes web search capabilities for real-time market data and performs forensic analysis on provided text and image metadata. It applies structured due diligence methodologies inspired by high-stakes enterprise procurement.

    Why this beats prompting it yourself

    Generic prompts often miss "staged" leaks or the "execution leg" risk where a price is good but the payment cannot be processed. This skill enforces a multi-step checklist that includes counter-party tone analysis and rights-retention checks that basic LLM queries overlook.

    Use cases

    • Enterprise hardware like GPU clusters or server racks where configuration varies wildly.
    • Industrial equipment to verify if a "new" claim matches the manufacturing date found in metadata.
    • Secondary market assets where you need a data-backed counter-anchor to negotiate.
    • Cross-border deals to check if your bank or the seller's country will block the transaction.

    Known limitations

    Requires specific item configurations to be useful. If no public benchmarks or secondary market data exist for an item, the agent will stop rather than improvise numbers.

    Originally born from uhu agentic coder: https://github.com/andreisminsk/uhu

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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