AC twitter-daily-digest
批量获取并整理用户关注的所有 Twitter/X 账号最近 24 小时内的更新。当用户提到“每日推文摘要”“今日推文”“关注的人最近发了什么”“Twitter digest”“推特日报”“帮我看看推特”“刷推”，或要求查看单个/多个指定 X 账号最近动态时，都应触发此 skill。默认输出中文整合版正文；如需测试前 3 个或前 5 个账号，也应使用此 skill。
As a process C 53/100 · Has gaps — 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: 3. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1021 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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 183: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (11 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.
External checks
ClawHub: suspicious
The skill is mostly a disclosed Twitter/X digest tool, but it can use local Notion credentials to create pages at a hard-coded default destination with broad trigger wording.
LLM: suspicious (high) · VirusTotal: · 29 May 2026