BD StockStar LLM Ranking - 证券之星大模型调用排行榜
查询大模型调用排行榜数据，数据来源证券之星科技频道（tech.stockstar.com）， 提供日榜和周榜两个周期，覆盖各主流大模型的调用量（Tokens）排名、 厂商（模型发布方）、变动百分比、涨跌方向和新上榜标记。 支持查看完整榜单、前 N 名、按模型/厂商搜索定位。 触发词：调用排行榜、排行榜、日榜、周榜、大模型、模型调用量、 Tokens、调用量、模型热度、厂商、模型发布方、DeepSeek、GPT、 Claude、Gemini、Kimi、GLM、MiniMax、OpenRouter、模型排名、llm ranking
查询大模型调用排行榜数据，数据来源证券之星科技频道（tech.stockstar.com）， 提供日榜和周榜两个周期，覆盖各主流大模型的调用量（Tokens）排名、 厂商（模型发布方）、变动百分比、涨跌方向和新上榜标记。 支持查看完整榜单、前 N 名、按模型/厂商搜索定位。…
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (StockStar LLM Ranking - 证券之星大模型调用排行榜) differs from the folder (stockstar-llm-ranking)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 25 steps
- 100Execution cost. Instruction body is 963 tokens
- 100Running it twice. No mutating operations
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)
- +3Output format is not stated: the model decides each time
- -33 of 5 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 266: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.