Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add chengkj99/kj-skills --skill kangjian-douyin-mediagit clone --depth 1 https://github.com/chengkj99/kj-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/chengkj99/kj-skills/kangjian-douyin-media)<a href="https://agentmods.dev/skills/chengkj99/kj-skills/kangjian-douyin-media"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/kangjian-douyin-media/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/chengkj99/kj-skills/kangjian-douyin-media"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/kangjian-douyin-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.01156 |
| Opus 5 | $0.00046 | $0.00578 |
| Sonnet 5 | $0.00019 | $0.00231 |
| Haiku 4.5 | $0.00009 | $0.00116 |
Grade A, and why
kangjian-douyin-media scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kangjian Douyin Media
Use this skill to update the user's own Douyin archive for:
- Account:
kangjian-douyin - Display identity:
程序员康健 - Homepage:
https://www.douyin.com/user/MS4wLjABAAAAU0QYHCmBaS2uUvbuc5XfY-XTJJCybRun-GHf2kpR6o0?from_tab_name=main - Default archive root in the wiki:
raw/studio/funnel/published/douyin/
The skill has two layers:
- Use
NanmiCoder/MediaCrawlerto produce raw Douyin JSONL for works and comments. - Run
scripts/update_douyin_archive.pyto merge the run incrementally and generate Markdown reports.
Do not download media files by default. Do not fetch sub-comments by default. Transcripts are produced separately with $local-stt-transcription and should be linked under raw/studio/funnel/transcripts/.
Update Cadence
- New video: crawl after 24 hours for first feedback.
- Review window: crawl again after 3-7 days.
- Baseline refresh: crawl the full account monthly or quarterly.
For normal new-video updates, crawl the latest 30-50 works. For audits or drift correction, crawl the full account with a larger cap.
MediaCrawler Run
Use an existing MediaCrawler checkout if available; otherwise clone it to /private/tmp/MediaCrawler-kangjian-douyin.
Recommended command shape:
uv run main.py \
--platform dy \
--lt qrcode \
--type creator \
--creator_id "https://www.douyin.com/user/MS4wLjABAAAAU0QYHCmBaS2uUvbuc5XfY-XTJJCybRun-GHf2kpR6o0?from_tab_name=main" \
--get_comment yes \
--get_sub_comment no \
--max_comments_count_singlenotes 500 \
--crawler_max_notes_count 50 \
--max_concurrency_num 1 \
--save_data_option jsonl \
--save_data_path "<wiki>/raw/studio/funnel/published/douyin/runs/YYYY-MM-DD"
Use --crawler_max_notes_count 130 or higher for a full-account refresh. If login is needed, let the user scan the QR code in Chrome. Keep each run in a date-stamped directory; never overwrite old runs.
Incremental Merge
After MediaCrawler finishes, run:
python3 <skill_dir>/scripts/update_douyin_archive.py \
--archive-dir "<wiki>/raw/studio/funnel/published/douyin" \
--run-dir "<wiki>/raw/studio/funnel/published/douyin/runs/YYYY-MM-DD" \
--date "YYYY-MM-DD"
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 109 lines · 93 tokens per session scan A 31aa0ee85670
kangjian-douyin-media is a skill published in the GitHub repository chengkj99/kj-skills (14 stars, last pushed 11d ago), licensed MIT. It adds 93 tokens to every session and 1,156 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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