Skill Zhihu Answer
ZJU-REAL/Easel
知乎问答回答发布:在知乎问题下发布原创回答——搜热门问题、检查可答性、写内容、 Playwright 发布(绕 header 遮挡 + JS 遍历发布按钮)。当用户说"回答知乎问题""在知乎问答下回答" "发知乎回答""知乎答题""帮我回答这个知乎问题""批量回答知乎"时使用。与 skill-zhihu-publisher 区别:那个发专栏文章(zhuanlan),本 SKILL…
Interact with Zhihu (zhihu.com) — browse hot questions, read answers, search content, view topics, check user profiles.
$ npx skills add sigcli/sigcli --skill zhihu -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sigcli/sigcli zhihu --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sigcli/sigcli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/zhihu .claude/skills/zhihu && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "zhihu" agent skill from https://github.com/sigcli/sigcli/tree/main/skills/zhihu into .claude/skills/zhihu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zhihu", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sigcli/sigcli/tree/main/skills/zhihuType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sigcli/sigcli --skill zhihu -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sigcli/sigcli zhihu --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sigcli/sigcli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/zhihu .agents/skills/zhihu && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "zhihu" agent skill from https://github.com/sigcli/sigcli/tree/main/skills/zhihu into .agents/skills/zhihu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zhihu", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sigcli/sigcli --skill zhihu -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sigcli/sigcli zhihu --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sigcli/sigcli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/zhihu .cursor/skills/zhihu && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "zhihu" agent skill from https://github.com/sigcli/sigcli/tree/main/skills/zhihu into .cursor/skills/zhihu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zhihu", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sigcli/sigcli.git --path skills/zhihu--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sigcli/sigcli --skill zhihu -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sigcli/sigcli zhihu --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sigcli/sigcli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/zhihu .gemini/skills/zhihu && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "zhihu" agent skill from https://github.com/sigcli/sigcli/tree/main/skills/zhihu into .gemini/skills/zhihu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zhihu", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sigcli/sigcli zhihuInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sigcli/sigcli --skill zhihu -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sigcli/sigcli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/zhihu .github/skills/zhihu && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "zhihu" agent skill from https://github.com/sigcli/sigcli/tree/main/skills/zhihu into .github/skills/zhihu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zhihu", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sigcli/sigcli --skill zhihu -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sigcli/sigcli zhihu --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sigcli/sigcli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/zhihu .opencode/skills/zhihu && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "zhihu" agent skill from https://github.com/sigcli/sigcli/tree/main/skills/zhihu into .opencode/skills/zhihu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zhihu", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
zhihuInteract with Zhihu (zhihu.com) — browse hot questions, read answers, search content, view topics, check user profiles.
Zhihu is an agent skill from sigcli/sigcli. Interact with Zhihu (zhihu.com) — browse hot questions, read answers, search content, view topics, check user profiles. Use this skill whenever the user mentions Zhihu, 知乎, zhihu.com, wants to browse Chinese Q&A content, read Zhihu answers, search Zhihu questions, check Zhihu hot list, or look up Zhihu users/topics. Also trigger when the user pastes a Zhihu URL (e.g. zhihu.com/question/12345), mentions a Zhihu topic, or asks about Chinese knowledge sharing platforms.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `references/provider-config.yaml`, `scripts/zhihu_answer.py` and `scripts/zhihu_client.py`).
The repository describes itself as: The authentication CLI & Proxy for AI agents. Give agents access, not your credentials. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9ba8b35. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 7 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Zhihu loads about 1.7k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 589 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from sigcli/sigcli at commit 9ba8b35, republished under its MIT licence (© sigcli). 589 words, ~1,733 tokens.
.claude/skills/zhihu/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.Browse, search, read, and interact with Zhihu — China's largest Q&A platform.
<SKILL_DIR> is the directory containing this SKILL.md file. Determine it ONCE at the start and reuse it.
You MUST complete this setup before running any script. Do NOT skip this step.
sig status zhihu 2>&1Check the JSON output fields configured and valid:
configured: false → run Provider Setup below. Do NOT proceed without completing it.valid: false (but configured: true) → run sig login zhihu, then re-check.valid: true → detect proxy (see below), then execute the user's request.<SKILL_DIR>/references/provider-config.yaml~/.sig/config.yaml under providers:networkProxy: <url> under the provider in config.yamlsig login zhihu (with --network-proxy <url> if proxy was specified)sig status zhihu again — must show valid: true before proceedinggrep -A15 "^\s*zhihu:" ~/.sig/config.yaml | grep networkProxy | awk '{print $2}'If this outputs a URL, prefix ALL python3 commands with HTTPS_PROXY=<url> HTTP_PROXY=<url>.
If using socks5, convert to socks5h for python (e.g. socks5://... → socks5h://...).
If empty, no proxy needed.
All scripts require setup to be completed first (see above).
All operations — use sig run to inject cookie (required for all Zhihu endpoints):
sig run zhihu -- bash -c 'python3 <SKILL_DIR>/scripts/zhihu_hot.py --cookie "$SIG_ZHIHU_COOKIE" --limit 10'Env var: SIG_ZHIHU_COOKIE
On auth error (401/403): run sig login zhihu automatically (no user prompt), then retry.
All scripts are in this skill's scripts/ directory. Run via Bash tool.
| Script | Purpose | Auth |
|---|---|---|
zhihu_hot.py | Hot list (知乎热榜) | Required |
zhihu_question.py | Question answers + info | Required |
zhihu_answer.py | Single answer detail | Required |
zhihu_search.py | Search questions/topics/people | Required |
zhihu_member.py | User profile + answers | Required |
zhihu_topic.py | Search topics by keyword | Required |
--cookie COOKIE Zhihu session cookie (required)
--limit N Max items (default: 50)--cookie COOKIE Zhihu session cookie (required)
--id ID Question ID (required)
--answers-limit N Max answers to fetch (default: 10)
--sort SORT Sort answers: "default" or "created" (default: "default")Note: Question title and ID are extracted from the answers endpoint since Zhihu's question detail API is protected by anti-crawler measures.
--cookie COOKIE Zhihu session cookie (required)
--id ID Answer ID (required)--cookie COOKIE Zhihu session cookie (required)
--query TEXT Search query (required)
--type TYPE Search type: "general", "topic", or "people" (default: "general")
--limit N Max results (default: 20)--cookie COOKIE Zhihu session cookie (required)
--url-token NAME Member URL token (required)
--include-answers Also fetch member's recent answers (flag)--cookie COOKIE Zhihu session cookie (required)
--query TEXT Topic search query (required)
--limit N Max results (default: 10)Note: Direct topic detail API is protected by anti-crawler. This script searches topics by keyword instead.
Questions — The core unit on Zhihu. Each question has a title, detail, and a list of answers. Found in URLs like zhihu.com/question/12345. Get from hot list or search results, then use with zhihu_question.py.
Answers — Responses to questions, ranked by votes. Each answer has content, vote count, and author info. Use zhihu_answer.py to fetch a single answer by ID.
Hot List (知乎热榜) — Zhihu's trending questions, ranked by heat score. Use zhihu_hot.py to browse.
Topics — Zhihu organizes content into topics (like tags). Examples: AI, programming, science. Use zhihu_topic.py to search topics by keyword.
Members — User profiles identified by url_token (found in URLs like zhihu.com/people/zhang-san). Use zhihu_member.py to view profile and answers.
Search — Zhihu supports searching across questions, topics, and people. Use zhihu_search.py with the --type flag to filter.
| Error | Cause | Fix |
|---|---|---|
| 401 Unauthorized | Session expired / no cookie | Auto-run sig login (no user prompt needed), retry |
| 403 Forbidden | Anti-crawler or rate limit | Wait and retry, or check cookie |
| 404 Not Found | Invalid ID | Check question/answer ID |
RATE_LIMITED | Too many requests | Wait and retry |
sig run zhihu -- bash -c 'python3 <SKILL_DIR>/scripts/zhihu_hot.py --cookie "$SIG_ZHIHU_COOKIE" --limit 10'sig run zhihu -- bash -c 'python3 <SKILL_DIR>/scripts/zhihu_question.py --cookie "$SIG_ZHIHU_COOKIE" --id 20010554 --answers-limit 5'sig run zhihu -- bash -c 'python3 <SKILL_DIR>/scripts/zhihu_search.py --cookie "$SIG_ZHIHU_COOKIE" --query "machine learning" --type general --limit 10'sig run zhihu -- bash -c 'python3 <SKILL_DIR>/scripts/zhihu_member.py --cookie "$SIG_ZHIHU_COOKIE" --url-token zhang-san --include-answers'sig run zhihu -- bash -c 'python3 <SKILL_DIR>/scripts/zhihu_topic.py --cookie "$SIG_ZHIHU_COOKIE" --query "Python" --limit 5'© sigcli, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts, references) in skills/zhihu of sigcli/sigcli.
Open the folder on GitHubat commit 9ba8b35
Zhihu next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Zhihu this skillsigcli/sigcli | 293 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Skill Zhihu AnswerZJU-REAL/Easel | 3.2k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Remotion Interactivityremotion-dev/remotion | 62k | 5 repos | ~4.8k | Automated safety check: Pass | Custom licence | |
| Browseyc-software/qm | 15k | — | ~4k | Automated safety check: Pass | MIT | |
| Firecrawl Interact Integrationfirecrawl/firecrawl | 190k | 1 repos | ~731 | Automated safety check: Pass | ISC | |
| Interaction To Next Paintthedaviddias/Front-End-Checklist | 74k | — | ~441 | Automated safety check: Pass | MIT |
ZJU-REAL/Easel
知乎问答回答发布:在知乎问题下发布原创回答——搜热门问题、检查可答性、写内容、 Playwright 发布(绕 header 遮挡 + JS 遍历发布按钮)。当用户说"回答知乎问题""在知乎问答下回答" "发知乎回答""知乎答题""帮我回答这个知乎问题""批量回答知乎"时使用。与 skill-zhihu-publisher 区别:那个发专栏文章(zhuanlan),本 SKILL…
remotion-dev/remotion
Structure Remotion markup for interactivity. An agent skill from remotion-dev/remotion.
yc-software/qm
Drive a real stealth browser from your shell — act on websites (order food, file an expense, pull data behind a login), with per-person persistent sign-ins via the provider's managed auth (Kernel…
firecrawl/firecrawl
Guides adding Firecrawl's /interact endpoint to product code for pages that need clicks, forms, pagination or logged-in flows beyond plain scraping.
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Optimize interaction to next paint.
paperclipai/paperclip
Add a new Paperclip issue-thread interaction kind end-to-end.
sigcli/sigcli
Interact with Bilibili (B站) — browse trending videos, view video details, read comments, search videos and users, view user profiles, like, coin, and favorite videos.
sigcli/sigcli
Interact with Hacker News (news.ycombinator.com) — browse top, new, and best stories, read item details and comment threads, look up user profiles, and search posts via Algolia.
sigcli/sigcli
Interact with LinkedIn — view your profile, browse other profiles, read the feed, search jobs/posts/people, get job details, create posts, like/unlike posts, comment, send connection requests, and…
sigcli/sigcli
Interact with Outlook email — read inbox, send emails, search messages, reply/forward, manage folders, download attachments.
sigcli/sigcli
Interact with Reddit — browse subreddits, read posts and comments, search content, view user profiles, post comments, vote, save posts, subscribe to subreddits.
sigcli/sigcli
Interact with Slack — read channels, search messages, check unreads, send messages, manage reactions, and look up users.
Interact with Zhihu (zhihu.com) — browse hot questions, read answers, search content, view topics, check user profiles. Zhihu is an agent skill from sigcli/sigcli.com) — browse hot questions, read answers, search content, view topics, check user profiles.
Zhihu fits situations like: the user mentions Zhihu; wants to browse Chinese Q&A content; read Zhihu answers; search Zhihu questions.
Run `npx skills add sigcli/sigcli --skill zhihu -a claude-code`. Or copy the skill folder (skills/zhihu in sigcli/sigcli) into .claude/skills/zhihu in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sigcli/sigcli --skill zhihu -a codex`. Or copy the skill folder (skills/zhihu in sigcli/sigcli) into .agents/skills/zhihu in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sigcli/sigcli --skill zhihu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zhihu, .gemini/skills/zhihu, .github/skills/zhihu and .opencode/skills/zhihu in your project.
Going by SKILL.md and its folder, Zhihu needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Zhihu is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 126 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Zhihu: Skill Zhihu Answer (ZJU-REAL/Easel, 3.2k stars), Remotion Interactivity (remotion-dev/remotion, 62k stars), Browse (yc-software/qm, 15k stars) and Firecrawl Interact Integration (firecrawl/firecrawl, 190k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sigcli (a GitHub organization) maintains it in sigcli/sigcli, which has 293 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 28, 2026.
Source: sigcli/sigcli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.