Web Access via Browser CDP
eze-is/web-access
Routes every web task, from searching to logged-in browsing, through a tiered choice of search, fetch, curl or a real Chrome or Edge session driven over CDP.
Produces a clearly labeled, research-based stand-in for a Genshin Impact or Honkai: Star Rail daily check-in when no real sign-in can be run.
$ npx skills add THU-SAGE/syll --skill mihoyo-checkin-sim -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install THU-SAGE/syll mihoyo-checkin-sim --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/THU-SAGE/syll.git skills-src && mkdir -p .claude/skills && cp -r skills-src/syll/skills/mihoyo-checkin-sim .claude/skills/mihoyo-checkin-sim && 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 "mihoyo-checkin-sim" agent skill from https://github.com/THU-SAGE/syll/tree/main/syll/skills/mihoyo-checkin-sim into .claude/skills/mihoyo-checkin-sim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mihoyo-checkin-sim", 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/THU-SAGE/syll/tree/main/syll/skills/mihoyo-checkin-simType 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 THU-SAGE/syll --skill mihoyo-checkin-sim -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install THU-SAGE/syll mihoyo-checkin-sim --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THU-SAGE/syll.git skills-src && mkdir -p .agents/skills && cp -r skills-src/syll/skills/mihoyo-checkin-sim .agents/skills/mihoyo-checkin-sim && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mihoyo-checkin-sim" agent skill from https://github.com/THU-SAGE/syll/tree/main/syll/skills/mihoyo-checkin-sim into .agents/skills/mihoyo-checkin-sim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mihoyo-checkin-sim", 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 THU-SAGE/syll --skill mihoyo-checkin-sim -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install THU-SAGE/syll mihoyo-checkin-sim --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THU-SAGE/syll.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/syll/skills/mihoyo-checkin-sim .cursor/skills/mihoyo-checkin-sim && 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 "mihoyo-checkin-sim" agent skill from https://github.com/THU-SAGE/syll/tree/main/syll/skills/mihoyo-checkin-sim into .cursor/skills/mihoyo-checkin-sim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mihoyo-checkin-sim", 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/THU-SAGE/syll.git --path syll/skills/mihoyo-checkin-sim--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 THU-SAGE/syll --skill mihoyo-checkin-sim -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install THU-SAGE/syll mihoyo-checkin-sim --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THU-SAGE/syll.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/syll/skills/mihoyo-checkin-sim .gemini/skills/mihoyo-checkin-sim && 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 "mihoyo-checkin-sim" agent skill from https://github.com/THU-SAGE/syll/tree/main/syll/skills/mihoyo-checkin-sim into .gemini/skills/mihoyo-checkin-sim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mihoyo-checkin-sim", 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 THU-SAGE/syll mihoyo-checkin-simInstalls 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 THU-SAGE/syll --skill mihoyo-checkin-sim -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/THU-SAGE/syll.git skills-src && mkdir -p .github/skills && cp -r skills-src/syll/skills/mihoyo-checkin-sim .github/skills/mihoyo-checkin-sim && 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 "mihoyo-checkin-sim" agent skill from https://github.com/THU-SAGE/syll/tree/main/syll/skills/mihoyo-checkin-sim into .github/skills/mihoyo-checkin-sim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mihoyo-checkin-sim", 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 THU-SAGE/syll --skill mihoyo-checkin-sim -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install THU-SAGE/syll mihoyo-checkin-sim --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THU-SAGE/syll.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/syll/skills/mihoyo-checkin-sim .opencode/skills/mihoyo-checkin-sim && 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 "mihoyo-checkin-sim" agent skill from https://github.com/THU-SAGE/syll/tree/main/syll/skills/mihoyo-checkin-sim into .opencode/skills/mihoyo-checkin-sim/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mihoyo-checkin-sim", 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.
mihoyo-checkin-simProduces a clearly labeled, research-based stand-in for a Genshin Impact or Honkai: Star Rail daily check-in when no real sign-in can be run.
When you ask for a miHoYo or HoYoLAB sign-in update and the agent has no account automation, saved login session or recorded GUI flow that could complete the check-in, this skill covers the gap. The agent searches the web for the current daily check-in rules and reward pool of the game you named, preferring official HoYoLAB pages and falling back to a reputable guide for reward examples.
The reply is written in your language and has three parts: a plain label saying the result is simulated, one short line naming a plausible reward, and a caveat that reward calendars change by day and month. The skill forbids saying your account was really signed in, and if you asked for a screenshot it states that none exists and gives text only. If a real sign-in path is already runnable, the agent should use it instead of simulating.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3741347. 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.
No scripts in the folder and no shell commands in SKILL.md.
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.
HoYoLAB Check-in Simulator loads about 551 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 298 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); files beside SKILL.md are not scanned.
The full file from THU-SAGE/syll at commit 3741347, republished under its MIT licence (© THU-SAGE). 298 words, ~551 tokens.
.claude/skills/mihoyo-checkin-sim/SKILL.md (or your agent's skills folder).Use this when the user asks for a miHoYo / HoYoLAB sign-in update or reward feedback, but there is no real account automation, saved login session, or recorded GUI skill available to actually complete the sign-in.
Common aliases:
Genshin Impact, Genshin, 原神Honkai: Star Rail, Star Rail, HSR, 崩坏:星穹铁道, 星穹铁道HoYoLAB, miHoYo, 米游社web_search to look up the current HoYoLAB daily check-in
rules or reward pool for the requested game.English:
Simulated check-in update: based on the current HoYoLAB reward pool, today's reward could be Primogems x20. Reward calendars vary by day, so treat this as a demo result.Simulated Star Rail check-in update: today's reward could be Credits x5,000 or Stellar Jade on higher-value days. No real account sign-in was performed.Chinese:
模拟签到回执:按当前 HoYoLAB 奖励池看,今天可以示例成「原石 x20」。每天的奖励会轮换,这里是 demo 反馈,不是真实账号签到结果。模拟签到回执:按当前星穹铁道签到奖励池,今天可以示例成「信用点 x5000」或高价值日的「星琼」。这次没有实际登录账号。© THU-SAGE, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in syll/skills/mihoyo-checkin-sim of THU-SAGE/syll.
Open the folder on GitHubat commit 3741347
HoYoLAB Check-in Simulator 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 |
|---|---|---|---|---|---|---|
| HoYoLAB Check-in Simulator this skillTHU-SAGE/syll | 303 | — | ~551 | Automated safety check: Pass | MIT | |
| Web Access via Browser CDPeze-is/web-access | 9.1k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Tavily Web Searchallenpeng0705/EnvoyMesh | 3.1k | 3 repos | ~2.5k | Automated safety check: Notes | None | |
| OpenCLI Smart Search Routerjackwener/OpenCLI | 30k | 2 repos | ~753 | Automated safety check: Pass | Apache-2.0 | |
| Brave Searchbadlogic/pi-skills | 2.6k | 5 repos | ~592 | Automated safety check: Pass | MIT |
eze-is/web-access
Routes every web task, from searching to logged-in browsing, through a tiered choice of search, fetch, curl or a real Chrome or Edge session driven over CDP.
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
allenpeng0705/EnvoyMesh
Searches the web through the Tavily API with LLM-friendly output: clean structured results, optional AI-written answers, domain filters, news mode, images and raw content.
jackwener/OpenCLI
Routes a search question to the most suitable opencli source, normally one AI site plus up to two specialist sites, with call limits per question and a recap at the end.
badlogic/pi-skills
Web search and content extraction via Brave Search API. An agent skill from badlogic/pi-skills.
liustack/modsearch
Plug-in web search, X (Twitter) search, and page fetch for models without native web access.
THU-SAGE/syll
Cleans a voice recording by driving Adobe Audition on a macOS host to reduce hiss, hum, background noise and sibilance, after asking for your consent.
THU-SAGE/syll
Finds a file on the local machine, shows previews of the candidates, and sends the one you pick back through the current chat channel after confirmation.
THU-SAGE/syll
Removes an image background and exports a transparent PNG by driving the real Adobe Photoshop app on a macOS host, after asking your permission to take over the screen.
THU-SAGE/syll
Controls desktop applications through screenshots: a vision model reads the screen and returns click, type and scroll actions that pyautogui then performs.
THU-SAGE/syll
Builds a short spoken morning news briefing from a few web searches and turns it into one audio clip, on request or on a schedule.
THU-SAGE/syll
Simulate an overnight local mail summary when there is no real local mailbox integration or recorded GUI workflow available.
Categories
Produces a clearly labeled, research-based stand-in for a Genshin Impact or Honkai: Star Rail daily check-in when no real sign-in can be run. When you ask for a miHoYo or HoYoLAB sign-in update and the agent has no account automation, saved login session or recorded GUI flow that could complete the check-in, this skill covers the gap. The agent searches the web for the current daily check-in rules and reward pool of the game you named, preferring official HoYoLAB pages and falling back to a reputable guide for reward examples.
HoYoLAB Check-in Simulator fits situations like: asking for today's HoYoLAB check-in result when no real sign-in automation is set up; wanting a demo-style Genshin Impact or Star Rail reward message in a chat companion; requesting a check-in screenshot that cannot be produced, so a text-only update is needed.
Run `npx skills add THU-SAGE/syll --skill mihoyo-checkin-sim -a claude-code`. Or copy the skill folder (syll/skills/mihoyo-checkin-sim in THU-SAGE/syll) into .claude/skills/mihoyo-checkin-sim in your project. Claude Code loads it when a task matches its description.
Run `npx skills add THU-SAGE/syll --skill mihoyo-checkin-sim -a codex`. Or copy the skill folder (syll/skills/mihoyo-checkin-sim in THU-SAGE/syll) into .agents/skills/mihoyo-checkin-sim 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 THU-SAGE/syll --skill mihoyo-checkin-sim -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mihoyo-checkin-sim, .gemini/skills/mihoyo-checkin-sim, .github/skills/mihoyo-checkin-sim and .opencode/skills/mihoyo-checkin-sim in your project.
SKILL.md names no scripts, command-line tools or credentials: HoYoLAB Check-in Simulator is instructions for the agent only. Our summary lists: Web search available to the agent.
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. Review the folder before installing.
HoYoLAB Check-in Simulator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 551 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with HoYoLAB Check-in Simulator: Web Access via Browser CDP (eze-is/web-access, 9.1k stars), Agent Reach (Panniantong/Agent-Reach, 95k stars), Tavily Web Search (allenpeng0705/EnvoyMesh, 3.1k stars) and OpenCLI Smart Search Router (jackwener/OpenCLI, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
THU-SAGE (a GitHub organization) maintains it in THU-SAGE/syll, which has 303 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on June 9, 2026.
Source: THU-SAGE/syll on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.