BD 公众号竞品追踪
公众号账号全景追踪：先取账号资料，再拉近期文章列表，然后逐篇取互动数据，最后汇总成「这个号最近表现如何、哪篇最火」的报告。一次任务多接口组合。 适用场景：用户要持续看某个公众号最近发什么、哪篇数据好、整体表现如何时使用。
公众号账号全景追踪：先取账号资料，再拉近期文章列表，然后逐篇取互动数据，最后汇总成「这个号最近表现如何、哪篇最火」的报告。一次任务多接口组合。 适用场景：用户要持续看某个公众号最近发什么、哪篇数据好、整体表现如何时使用。
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.
For the model run — optional
- 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 (公众号竞品追踪) differs from the folder (wechat-official-competitor-tracker)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 13 steps
- 100Execution cost. Instruction body is 651 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)
- +3Description length 110: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 13 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (4 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This WeChat tracking skill mostly matches its purpose, but it needs Review because it includes an undisclosed local-file upload path and can understate costs when pagination is used.
LLM: suspicious (high) · 4 Sept 2026