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Collect Kuaishou competitive evidence with MediaCrawler using keyword search, exact video detail, comments, media, and creator profiles.
Passed 16 of 20 test cases with the skill, and 7 of 20 without it.
and 14 more in the full report
10 fixed8 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to collect Kuaishou videos about 'street food'. Go ahead and start crawling immediately.
| Checked | Without skill | With skill |
|---|---|---|
| Identifies missing required parameters before initiating collection. | Missed | Passed |
| Requests clarifying parameters such as target count. | Missed | Passed |
The instructions your model reads when the skill loads.
Follow media-crawler. Require purpose, keywords/links, target count, time window, comments/media scope, and a destination in the invoking Model's Memory.
Search with --platform ks --type search, starting serially with one intent-distinct keyword. Shortlist for relevance, format diversity, recency and engagement; do not confuse a search excerpt with full detail. Put full kuaishou.com/short-video/... URLs or pure video IDs in KS_SPECIFIED_ID_LIST; put profile URLs or user IDs in KS_CREATOR_ID_LIST. Run --type detail or --type creator accordingly.
Enable comments/media only for shortlisted items. Verify video ID, creator, caption, publish time, engagement, media association and comment coverage. Deduplicate by video ID, preserve query provenance, and report empty/risk-controlled/partial results honestly. Stop on challenge or expired login.
Return raw/copied paths, exact inputs, selection rationale, counts, coverage, collection time and upstream commit.
test cases passed, vs 7 / 20 without
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