AC stablecoin-knowledge
Comprehensive knowledge base on stablecoins, AI agent economics, and the NBW (New Bretton Woods) protocol, based on the book "稳定币：AI智能体经济的未来探索" by Han Feng (韩锋), Bao Song (鲍松), and Hu Xuanfeng (胡烜峰). Use when: discussing stablecoin history (USDT, DAI, UST, USDC), stablecoin business models, DeFi protocols, algorithmic stablecoins, cross-border payments with stablecoins, RWA (Real World Assets) tokenization, the NBW/New Bretton Woods protocol, quantum algorithmic thinking, AI agent economy/finance, bitcoin as "quantum gold", global debt crisis solutions, or the intersection of AI and cryptocurrency. Also use when asked about: 韩锋, 稳定币, 新布雷顿森林, NBW, AI智能体经济, 量子算法思维, 量子黄金. Book link (微信读书): https://weread.qq.com/book-detail?type=1&senderVid=294507526&v=404329c0813abb209g017102 Publisher: 机械工业出版社 (2026年2月) | ISBN: 9787111801009
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 977 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 835: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +4Structure: 6 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.