kangjian-douyin-media

kangjian-douyin-media is a skill for Claude Code, Codex from chengkj99/kj-skills. It costs 93 tokens per session (1,156 once invoked), scanned A, original, MIT.

A workflow for incrementally collecting and reviewing the Douyin videos and comments of the creator 程序员康健. Douyin is a Chinese short-video platform, and the workflow stores the collected account data as an archive and reports.

In plain words
What is it for?
Use it to crawl the creator’s recent or complete Douyin account, merge new works and comments into the archive, and generate full-ledger or review-analysis Markdown reports.
Why use it?
It avoids repeatedly rebuilding the whole archive and keeps new videos, comments, transcripts, and review reports organised over time. It also defines different update timings for new videos, follow-up reviews, and full refreshes.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: $skill-name invocation.

Part of the kj-skills plugin — 34 skills, 1 command, 1 hook shipped together

Good fit Use it to crawl the creator’s recent or complete Douyin account, merge new works and comments into the archive, and generate full-ledger or review-analysis Markdown reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chengkj99/kj-skills/kangjian-douyin-media
Install

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.

Any agent
npx skills add chengkj99/kj-skills --skill kangjian-douyin-media
Clone the repo
git clone --depth 1 https://github.com/chengkj99/kj-skills

Made for: Claude Code, Codex.

Or install kj-skills, the plugin that ships this one along with the rest of its 34 skills, 1 command, 1 hook.

Wrote 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.

agentmods badge for kangjian-douyin-media

README.md
[![agentmods](https://agentmods.dev/badge/skills/chengkj99/kj-skills/kangjian-douyin-media/github.svg)](https://agentmods.dev/skills/chengkj99/kj-skills/kangjian-douyin-media)
Your own site
<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.

agentmods 80×15 button for kangjian-douyin-media

Your own site · 80×15
<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>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,156 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash 31aa0ee85670, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/update_douyin_archive.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/kangjian-douyin-media/SKILL.md · 109 lines

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:

  1. Use NanmiCoder/MediaCrawler to produce raw Douyin JSONL for works and comments.
  2. Run scripts/update_douyin_archive.py to 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"

Read the full file on GitHub · 109 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 109 lines · 93 tokens per session scan A 31aa0ee85670

Subscribe to this mod's changes

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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