AI Skill Report Card

Analyzing Mining NFT Value

B+79·Oct 27, 2026·Source: Extension-selection
13 / 15

Given a list of items with fields hashrate | rate%, quantity, price (RLT), normalize hashrate to a single unit (e.g. Th/s), then compute:

efficiency = hashrate_normalized / price   (Th/s per RLT — higher is better)
rate_efficiency = rate% / price            (% per RLT — higher is better)

Sort descending by efficiency (or whichever metric the user cares about) and present a ranked table.

Recommendation▾
Add a third example showing an edge case, such as missing/malformed fields or a tie between items, to demonstrate robustness
13 / 15

Progress:

  • Step 1: Parse each listing into structured fields: name, hashrate value+unit, rate %, quantity, price in RLT
  • Step 2: Normalize all hashrates to one unit (convert Ph/s → Th/s by ×1000)
  • Step 3: Compute derived metrics per item:
    • Th/s per RLT = normalized hashrate / price
    • rate% per RLT = rate / price
    • total fleet hashrate = normalized hashrate × quantity (if portfolio-level analysis is needed)
  • Step 4: Rank items by the metric relevant to the user's goal (raw power efficiency vs. reward-rate efficiency vs. total output)
  • Step 5: Flag outliers — items with unusually high or low price-per-hashrate relative to the set average
  • Step 6: Present results as a clean table plus a short recommendation (best value, best for rate farming, best for raw hashrate)
Recommendation▾
Include explicit output formatting guidance for portfolio-level (fleet) analysis with a worked example, not just a mention in Best Practices
15 / 20

Example 1: Input: Legendary Jungle King 798.210 Th/s | 0.61% Quantity: 956 From 0.094998 RLT

Output:

Name: Jungle King
Hashrate: 798.21 Th/s
Rate: 0.61%
Price: 0.094998 RLT
Th/s per RLT: 8402.4
Rate% per RLT: 6.42

Example 2: Input: Two items — The Minertaur 4.749 Ph/s | 1.22% From 0.42 RLT MineOrDie 712.845 Th/s | 0.7% From 0.1995 RLT

Output:

Converting Minertaur: 4.749 Ph/s = 4749 Th/s

| Name        | Th/s/RLT | Rate%/RLT |
|-------------|----------|-----------|
| MineOrDie   | 3573.0   | 3.51      |
| Minertaur   | 11307.1  | 2.90      |

Recommendation: Minertaur offers far better raw hashrate efficiency;
MineOrDie offers slightly better rate% efficiency per RLT spent.
Recommendation▾
Clarify what 'outliers' flagging in Step 5 looks like concretely (e.g., threshold or statistical method) rather than leaving it vague
  • Always normalize units before comparing (Th/s vs Ph/s — 1 Ph/s = 1000 Th/s).
  • Report both hashrate-efficiency and rate-efficiency separately; they often favor different items — don't conflate into one "best" score unless the user specifies weighting.
  • When quantity is given, distinguish "per-unit value" (price/hashrate of one item) from "fleet value" (quantity × hashrate) — these answer different questions.
  • Show the math/conversion inline so the user can verify numbers.
  • If the user's goal is ambiguous (value-hunting vs. portfolio sizing), default to per-unit efficiency ranking but mention fleet totals as a secondary note.
  • Don't compare raw price alone without normalizing by hashrate — a cheap item with tiny hashrate isn't automatically "best value."
  • Don't mix Th/s and Ph/s in a sort without converting first.
  • Don't ignore the rate% field — it's a separate reward mechanic distinct from hashrate and should not be averaged into a single blended score unless requested.
  • Don't assume "Quantity" means owned by the user — in listings it usually means available supply/stock.
0
Grade B+AI Skill Framework
Scorecard
Criteria Breakdown
Quick Start
13/15
Workflow
13/15
Examples
15/20
Completeness
16/20
Format
15/15
Conciseness
14/15