BD 微信生态数据台
曼格云(api.we-media.cn)全接口数据助手。一句话描述需求，自动选择并编排对应接口：公众号文章与账号、视频号作品与博主、搜一搜、微信指数、全网热搜、低粉爆文、小程序、视频视觉理解、音频转写。所有付费调用前先给费用预估。 适用场景：用户要用曼格云查询任何微信生态数据（公众号、视频号、搜索、热搜、小程序、AI分析），或需求不明确需要自动选接口时使用。
曼格云(api.we-media.cn)全接口数据助手。一句话描述需求，自动选择并编排对应接口：公众号文章与账号、视频号作品与博主、搜一搜、微信指数、全网热搜、低粉爆文、小程序、视频视觉理解、音频转写。所有付费调用前先给费用预估。…
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: 5. 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") - note
frontmatter-keyunknown frontmatter key "slug"
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 (微信生态数据台) differs from the folder (wechat-ecosystem-data-hub)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 16 steps
- 100Execution cost. Instruction body is 951 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
- +1No license
- +2Single-language instructions
- +3Description length 180: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (4 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.