BF amazon-pricing-intelligence
亚马逊科学定价策略助手 — 帮助卖家告别「定价靠拍脑袋，利润全靠运气」的时代。提供成本核算、同行参考、促销定价、利润优化和调价建议，让每一分利润都有据可依。支持美国、英国、德国、日本等主流市场。触发词：amazon pricing, 定价策略, 利润优化, pricing optimization, amazon pricing strategy, 调价建议, 价格设置
As a process F 44/100 · Will not run — References files that are not bundled: ../amazon-inventory-forecast/, ../amazon-seasonal-planner/, ../amazon-ops-agents/
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
For the model run — optional
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: ../amazon-inventory-forecast/ - warning
missing-refreference to a missing file: ../amazon-seasonal-planner/ - warning
missing-refreference to a missing file: ../amazon-ops-agents/ - warning
missing-refreference to a missing file: references/promotion-calendar.md
Process rating: all ten parameters 44/100
Will not run. References files that are not bundled: ../amazon-inventory-forecast/, ../amazon-seasonal-planner/, ../amazon-ops-agents/
- 0Tools and files. 4 referenced file(s) missing: ../amazon-inventory-forecast/, ../amazon-seasonal-planner/, ../amazon-ops-agents/
- 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
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 22 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1397 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 186: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 22 items
- +3Output format is stated explicitly
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: clean
This is a text-only Amazon pricing advice skill that asks for relevant business inputs but does not run code, access accounts, or change prices automatically.
LLM: benign (high) · VirusTotal: · 29 May 2026