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 0xmariowu/Autosearch --skill kuaishougit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/kuaishou)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/kuaishou"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/kuaishou/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/0xmariowu/autosearch/kuaishou"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/kuaishou.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00541 |
| Opus 5 | $0.00000 | $0.00270 |
| Sonnet 5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
Grade A, and why
kuaishou 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 11d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Attribution
Source: self-written for TikHub channel expansion task on 2026-04-19.
name: kuaishou description: Chinese short-video platform with lifestyle, humor, regional culture, and product demos, via TikHub. version: 1 languages: [zh, mixed] methods:
- id: via_tikhub impl: methods/via_tikhub.py requires: [env:TIKHUB_API_KEY] rate_limit: {per_min: 60, per_hour: 1000} fallback_chain: [via_tikhub] when_to_use: query_languages: [zh, mixed] query_types: [short-video, lifestyle, regional-culture, product-demo] quality_hint: typical_yield: medium chinese_native: true layer: leaf domains: [chinese-ugc] scenarios: [chinese-native, short-video, lower-tier-market] model_tier: Fast experience_digest: experience.md
Overview
Kuaishou is a Chinese short-video platform with strong coverage of everyday lifestyle content, regional culture, humor, and product demonstration clips. It is useful when the query needs Chinese-native short-form video evidence outside the more trend-heavy Douyin lane.
When to Choose It
- Choose it for Chinese or mixed-language short-video searches with everyday or regional context.
- Choose it for lifestyle, humor, and product-demo coverage where creator clips are likely to surface first.
- Choose it when you want Chinese short-form signals that may differ from Weibo text chatter or Xiaohongshu notes.
- Avoid it for deep technical explanation or formal reporting.
How To Search
via_tikhub- Use TikHub's comprehensive Kuaishou search endpoint with first-page parameters fixed to broad keyword coverage.via_tikhub- Skip non-video cards, keep only feeds that expose a realphoto_id, and build canonical Kuaishou web URLs from that identifier.via_tikhub- Normalize captions into concise snippets and label results with the creator name when present.
Known Quirks
- TikHub access is billed per request, so this channel should not be used for wide exploratory fan-out.
- Search responses mix headers, ads, and other non-post cards, so extraction intentionally drops a lot of items.
- Captions can be terse, slang-heavy, or empty, which limits snippet quality.
What ships with it
1 file 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.
- 11d ago First seen · 56 lines · 0 tokens per session scan A eb8850a29332
kuaishou is a skill published in the GitHub repository 0xmariowu/Autosearch (44 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 541 tokens. 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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