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 zhihugit 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/zhihu)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/zhihu"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/zhihu/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/zhihu"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/zhihu.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 | $0.00698 |
| Opus 5 | $0.00000 | $0.00349 |
| Sonnet 5 | $0.00000 | $0.00140 |
| Haiku 4.5 | $0.00000 | $0.00070 |
Grade A, and why
zhihu 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Attribution
Source: self-written, plan
autosearch-0418-channels-and-skills.md§ F002c.
name: zhihu description: Chinese Q&A platform with deep technical discussions and user experience reports — use when query is Chinese or mixed and targets developer opinions, comparisons, or tutorials. 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: [technical, experience-report, product-review, tutorial, comparison] avoid_for: [real-time-news, academic-papers] quality_hint: typical_yield: medium-high chinese_native: true layer: leaf domains: [chinese-ugc] scenarios: [chinese-native, deep-qna, expert-opinion] model_tier: Fast experience_digest: experience.md
Overview
Zhihu is a major Chinese question-and-answer platform with long-form posts, answer threads, and high-signal technical comparisons. It is useful when the user wants Chinese-language reasoning, practical experience reports, or side-by-side discussion of tools and products.
For autosearch coverage, this channel brings native Chinese discourse that is not well represented on English platforms. It matters because many Chinese developer and user communities publish nuanced tutorials, migration notes, and comparative buying advice directly on Zhihu.
When to Choose It
- Choose it for Chinese or mixed-language queries about technical tradeoffs, tutorials, or product comparisons.
- Choose it when user experience reports and long-form answers are more useful than short posts.
- Choose it for developer opinion in Chinese around frameworks, devices, services, or workflow tools.
- Prefer it over general social feeds when depth and explanation matter.
- Avoid it for breaking news or formal paper lookup.
How To Search (Planned)
via_tikhub- Use TikHub's paid Zhihu article search API for direct article discovery without relying on local cookies.api_search- Use Zhihu search endpoints to discover questions, answers, and articles matching the query, then extract canonical URLs and brief snippets.api_answer_detail- Fetch fuller answer detail for shortlisted posts using authenticated endpoints when a cookie is available.api_answer_detail- Normalize answer author, vote count, created time, question title, and answer body excerpt for downstream ranking.
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 · 63 lines · 0 tokens per session scan A 92842244efb2
zhihu 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 698 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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