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Collect Douyin competitive evidence with MediaCrawler using keyword search, exact video detail, comments, media, and creator profiles.
Passed 17 of 20 test cases with the skill, and 5 of 20 without it.
and 17 more in the full report
13 fixed6 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
What specific configuration variable in the Douyin config file controls whether video/image media files are saved during detail processing?
| Checked | Without skill | With skill |
|---|---|---|
| Sets ENABLE_GET_MEIDAS in config/dy_config.py to control media downloading. | Missed | Passed |
The instructions your model reads when the skill loads.
Follow media-crawler. Require purpose, keywords/links, sample size, date window, comments/media scope, and destination under the invoking Model's Memory.
Build queries across problem, category, and audience. Run --platform dy --type search serially; shortlist on topical relevance, hook/format diversity, recency and engagement. Search cards are discovery evidence only. For exact enrichment, set DY_SPECIFIED_ID_LIST in config/dy_config.py; it accepts full video URLs, URLs containing modal_id, short links, or video IDs. For creators set DY_CREATOR_ID_LIST to profile URLs or sec_user_id, then use --type creator. PUBLISH_TIME_TYPE controls the upstream publish-time filter.
Enable comments or ENABLE_GET_MEIDAS only for the shortlist, then run --type detail. Verify canonical video ID, author, caption, publish time, engagement, media mapping, comment coverage and any truncation. Deduplicate by video ID and retain the discovery query. Stop on login/risk control; never loop retries.
Return raw/copied paths, query and selection rationale, search/detail/creator counts, comment/media coverage, time and upstream commit.
test cases passed, vs 5 / 20 without
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