BD investment-books-recommendation
用于回答投资类书籍推荐、读书清单、经典书目、阅读路径、书单整理、书籍介绍相关的问题，包括"投资该读什么书""价值投资入门书单""投资经典书目有哪些""某个投资主题（特殊情况投资/金融危机/行为金融/资本配置/商业史等）该读哪些书""介绍一下某本投资书""哪些投资人推荐过这本书""整理中英文书目对照表"等场景。只要用户提到投资/价值投资/商业/经济/长期思维相关书单、读书清单、经典书目、阅读顺序、书目对照，或提到 aimunger 书籍页面，就应主动使用本技能，即使用户没有直接说"帮我推荐书"。不适用于与投资、商业、经济、管理、长期思维无关的通用书籍推荐。
用于回答投资类书籍推荐、读书清单、经典书目、阅读路径、书单整理、书籍介绍相关的问题，包括"投资该读什么书""价值投资入门书单""投资经典书目有哪些""某个投资主题（特殊情况投资/金融危机/行为金融/资本配置/商业史等）该读哪些书""介绍一下某本投资书""哪些投资人推荐过这本书""整理中英文书目对照表"等场景。只要用户…
As a process D 49/100 · 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: 1. 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")
Process rating: all ten parameters 49/100
- 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 (investment-books-recommendation) differs from the folder (investment-books-recommendation-skill)
- 100Tools and files. No external tools needed
- 100Steps. 42 steps
- 100Execution cost. Instruction body is 1035 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +3Description length 280: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 42 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.