AD xhs-smart-scheduler
小红书智能排期发布器 - 帮助内容创作者实现自动化内容排期和定时发布。 Use when: - 用户需要批量管理小红书待发布内容 - 用户需要定时自动发布小红书笔记 - 用户需要智能推荐最佳发布时间 - 用户需要查看发布队列状态和历史记录 - 用户需要接收发布成功/失败通知 NOT for: - 非小红书平台的内容发布 - 需要人工审核的敏感内容自动发布 - 违反小红书社区规范的内容发布 - 未经授权的账号操作
As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- 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
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medium Exfiltration
exfil-webhook-urlscripts/notifier.py:268Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)self.api_url = f"https://api.telegram.org/bot{bot_token}"quoted
Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 49/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (xhs-smart-scheduler) differs from the folder (xhs-scheduler-skill)
- 50When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 44 steps
- 100Execution cost. Instruction body is 497 tokens
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
- +3Output format is not stated: the model decides each time
- -31 of 6 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 207: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 44 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.