CD xiaohongshu-darkhorse
小红书黑马爆文榜,基于红狐数据挖掘小红书各分类下互动表现突出的黑马笔记(最新起量的单日榜单,非七日爆款笔记周榜),支持25个内容分类筛选、近30天榜单日期查询、TOP50榜单展示、爆款规律分析与HTML文件包导出,支持每日订阅推送。当用户提到"黑马爆文榜"、"小红书黑马"、"黑马笔记"、"小红书爆文榜"、"黑马内容"时使用。
小红书黑马爆文榜,基于红狐数据挖掘小红书各分类下互动表现突出的黑马笔记(最新起量的单日榜单,非七日爆款笔记周榜),支持25个内容分类筛选、近30天榜单日期查询、TOP50榜单展示、爆款规律分析与HTML文件包导出,支持每日订阅推送。当用户提到"黑马爆文榜"、"小红书黑马"、"黑马笔记"、"小红书爆文榜"、"黑马内容"…
As a process D 46/100 · 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-password-literalscripts/fetch_darkhorse_articles.py:160Hard-coded password / key literal (may be an example)api_key = match.group(1).strip()
Files scanned: 8. 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 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 604 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
- +4No input/output examples
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 163: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 23 items
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.