AC rednote-research
Research a topic through RedNote/Xiaohongshu discussion signals using either public-web mode (no login) or optional login-enhanced browser review when the user explicitly chooses deeper access. Use when checking RedNote community sentiment, reputation, latest policy/community updates, gossip/drama/news synthesis, local recommendations like restaurants/shops, when recovering evidence from weak public-web snippets/titles/OCR/subtitle fragments, or when analyzing posts, comments, screenshots, image posts, video/gif snippets, subtitles, or audio/transcript clues. Especially useful for prompts like "查小红书口碑", "搜 RedNote 讨论", "看看最近有什么风向/新政策", "总结八卦/争议", "找本地探店推荐", "分析评论区", "分析截图/视频/字幕", "根据截图线索继续搜", "总结某个账号最近发了什么", or "做一个 RedNote 社区情报初筛".
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions
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 · 0
✓ No critical or high findings
Files scanned: 15. 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 59/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Failures and branches. 21 branches
- 70Execution cost. Instruction body is 4142 tokens
- 100Steps. 165 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- low 13 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (9 tags): a typed call is more reliable
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 742: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 165 items
- +4Reference files are cited in the instructions (10 of 10)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.