BD wechat-intelligence
使用曼格云 API 构建和运行低成本的公众号情报分析系统。当用户提出公众号情报分析系统、公众号监控、多公众号监测、公众号文章自动采集、AI 分析公众号文章、竞品公众号追踪、行业情报、每日公众号简报、公众号数据导出或公众号分析面板等需求时使用。
使用曼格云 API 构建和运行低成本的公众号情报分析系统。当用户提出公众号情报分析系统、公众号监控、多公众号监测、公众号文章自动采集、AI 分析公众号文章、竞品公众号追踪、行业情报、每日公众号简报、公众号数据导出或公众号分析面板等需求时使用。
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.
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: 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 (web, python) that frontmatter does not declare
- 100Steps. 31 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 753 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
- -32 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 121: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
The skill is a disclosed local WeChat public-account monitoring and export tool, with expected paid API use and local storage and no evidence of hidden credential theft or exfiltration.
LLM: benign (high) · VirusTotal: · 4 Sept 2026