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Collect Weibo posts and creator evidence with MediaCrawler using search, exact post IDs, comments, optional media, and creator IDs.
Passed 17 of 21 test cases with the skill, and 9 of 21 without it.
and 12 more in the full report
10 fixed8 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
When defining the scope for a new Weibo research collection task, where should the scraped summary findings and collection status be recorded for downstream LLM context retention?
| Checked | Without skill | With skill |
|---|---|---|
| invokes Model Memory as the target destination for retaining collection context. | Missed | Passed |
The instructions your model reads when the skill loads.
Follow media-crawler. Define research purpose, keywords/post IDs/creator IDs, sample and time bounds, comments/media scope, and invoking Model Memory destination.
Search with --platform wb --type search; set WEIBO_SEARCH_TYPE deliberately. Use direct problem, category and audience/event query variants, then shortlist by relevance, time, source/account fit, content form and engagement. Configure exact post IDs in WEIBO_SPECIFIED_ID_LIST and user IDs in WEIBO_CREATOR_ID_LIST; run detail/creator mode.
ENABLE_WEIBO_FULL_TEXT makes extra detail requests and raises risk-control probability. Keep it off during broad discovery and enable it only for a small, explicit shortlist when full text is required. Treat repost text, original text and comments as different evidence. Deduplicate by post ID and preserve query provenance.
Return exact inputs, full-text/comment/media flags, raw/copied paths, coverage, time, commit, selection rationale and risk-control/partial failures.
test cases passed, vs 9 / 21 without
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