BF qidian-sanjiang-picker
起点中文网好书推荐，支持两种模式： 1）三江榜新书推荐——每天从起点三江榜单中精选3本优质新书； 2）经典网文推荐——从起点万订/十万均订经典作品中随机推荐，附IP衍生品（电视剧/动漫/手办）和海外出圈信息。 内置去重机制，支持按 SBTI 性格筛选。 触发场景：推荐好书、三江榜、起点推荐、小说推荐、今天看什么书、书荒、找书看、每日推书、起点新书推荐、网文推荐、三江推荐、按性格推荐、SBTI推书、经典网文、万订推荐、十万均订、神作推荐、看经典、经典好书。 当用户提到"推荐几本好书"、"三江榜有什么书"、"书荒了推荐一下"、"每日推书"等意图时触发三江模式。 当用户提到"推荐经典"、"有没有经典网文"、"万订好书"、"十万均订"、"神作推荐"、"看看经典"等意图时触发经典模式。 当用户描述自己的性格或 SBTI 类型并请求推荐书时，也应使用此skill。
As a process F 31/100 · Will not run — References files that are not bundled: scripts/.sanjiang_history.json
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.
- 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: scripts/.sanjiang_history.json - note
frontmatter-keyunknown frontmatter key "disable"
Process rating: all ten parameters 31/100
- 0Tools and files. 1 referenced file(s) missing: scripts/.sanjiang_history.json
- 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 (qidian-sanjiang-picker) differs from the folder (qidiandayrec)
- 100Steps. 46 steps
- 100Execution cost. Instruction body is 1809 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
- -220 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 381: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 46 items
- +4Has examples (15 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.