MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Authenticate an explicitly authorized Modal CLI through existing Chrome without logging token values.
MITAuto-check passed
Install Modal Login
$ npx skills add tamaratran/jev-pruner --skill modal-login -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tamaratran/jev-pruner modal-login --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/tamaratran/jev-pruner.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/modal-login .claude/skills/modal-login && 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 "modal-login" agent skill from https://github.com/tamaratran/jev-pruner/tree/main/.agents/skills/modal-login into .claude/skills/modal-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modal-login", 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/tamaratran/jev-pruner/tree/main/.agents/skills/modal-loginType 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 tamaratran/jev-pruner --skill modal-login -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tamaratran/jev-pruner modal-login --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tamaratran/jev-pruner.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/modal-login .agents/skills/modal-login && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "modal-login" agent skill from https://github.com/tamaratran/jev-pruner/tree/main/.agents/skills/modal-login into .agents/skills/modal-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modal-login", 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 tamaratran/jev-pruner --skill modal-login -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tamaratran/jev-pruner modal-login --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tamaratran/jev-pruner.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/modal-login .cursor/skills/modal-login && 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 "modal-login" agent skill from https://github.com/tamaratran/jev-pruner/tree/main/.agents/skills/modal-login into .cursor/skills/modal-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modal-login", 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/tamaratran/jev-pruner.git --path .agents/skills/modal-login--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 tamaratran/jev-pruner --skill modal-login -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tamaratran/jev-pruner modal-login --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tamaratran/jev-pruner.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/modal-login .gemini/skills/modal-login && 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 "modal-login" agent skill from https://github.com/tamaratran/jev-pruner/tree/main/.agents/skills/modal-login into .gemini/skills/modal-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modal-login", 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 tamaratran/jev-pruner modal-loginInstalls 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 tamaratran/jev-pruner --skill modal-login -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tamaratran/jev-pruner.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/modal-login .github/skills/modal-login && 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 "modal-login" agent skill from https://github.com/tamaratran/jev-pruner/tree/main/.agents/skills/modal-login into .github/skills/modal-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modal-login", 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 tamaratran/jev-pruner --skill modal-login -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tamaratran/jev-pruner modal-login --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tamaratran/jev-pruner.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/modal-login .opencode/skills/modal-login && 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 "modal-login" agent skill from https://github.com/tamaratran/jev-pruner/tree/main/.agents/skills/modal-login into .opencode/skills/modal-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modal-login", 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.
Facts
- Skill name
modal-login- GitHub stars
- 160
- Token cost
- ~392 tokens
- SKILL.md length
- 196 words
- Files
- 2
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- MIT
At a glance
Authenticate an explicitly authorized Modal CLI through existing Chrome without logging token values.
- Works in 5 steps: Sign into https://modal.com/login using… → Create a mode-700 private directory… → Run python open_cli_login.py PRIVATE_LOG… → …
- Runs Python scripts from its folder; calls modal and python; reaches modal.com
What it does
Modal Login is an agent skill from tamaratran/jev-pruner. Authenticate an explicitly authorized Modal CLI through existing Chrome without logging token values.
Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `open_cli_login.py`).
It works with Python. The repository describes itself as: Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it. The licence is MIT.
Example prompts
- “/modal-login”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Sign into https://modal.com/login using the user's authorized identity.
- Create a mode-700 private directory outside the repository and evidence.
- Run python open_cli_login.py PRIVATE_LOG using Python with Playwright.
- Wait for the CLI process to finish successfully, restrict .modal.toml to
- Keep account state out of commits, artifacts, and environment blueprints.
What it can do on your machine
Read from SKILL.md and the folder at commit edbc602. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
modalpython
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
modal.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Modal Login loads about 392 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 196 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from tamaratran/jev-pruner at commit edbc602, republished under its MIT licence (© tamaratran). 196 words, ~392 tokens.
Download SKILL.mdSave it as
.claude/skills/modal-login/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- modal-login
- description
- Authenticate an explicitly authorized Modal CLI through existing Chrome without logging token values.
Requires Linux, the existing Chrome CDP endpoint at http://localhost:29229,
Modal 1.5.1, and Python Playwright. Use only after the user authorizes access to
their Modal account. Login alone does not authorize compute or deployments.
- Sign into
https://modal.com/loginusing the user's authorized identity. Existing GitHub sign-in may require a GitHub Mobile approval from the user. Confirm the intended workspace; a default organization can differ from the user's personal workspace. - Create a mode-700 private directory outside the repository and evidence.
With
umask 077, runBROWSER=true modal token new --profile PROFILE --activatein a background shell, redirecting stdout/stderr into a private log there. Never print or attach that log, token-flow URLs/codes, or.modal.toml. - Run
python open_cli_login.py PRIVATE_LOGusing Python with Playwright. This opens the CLI-generated official URL in existing Chrome without printing it. Select the authorized workspace and click Authorize. - Wait for the CLI process to finish successfully, restrict
.modal.tomlto mode 600, and verifymodal profile current. An authorized compute preflight can verify actual account access; do not launch inference merely for login. - Keep account state out of commits, artifacts, and environment blueprints. Saving the token as a reusable Devin secret requires separate permission.
© tamaratran, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in .agents/skills/modal-login of tamaratran/jev-pruner.
- SKILL.md
- open_cli_login.py
Open the folder on GitHubat commit edbc602
Compare with similar skills
Modal Login 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 |
|---|---|---|---|---|---|---|
| Modal Login this skilltamaratran/jev-pruner | 160 | — | ~392 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 59k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Modal Login
What does Modal Login do?
Authenticate an explicitly authorized Modal CLI through existing Chrome without logging token values. Modal Login is an agent skill from tamaratran/jev-pruner. Authenticate an explicitly authorized Modal CLI through existing Chrome without logging token values.
How do I install Modal Login in Claude Code?
Run `npx skills add tamaratran/jev-pruner --skill modal-login -a claude-code`. Or copy the skill folder (.agents/skills/modal-login in tamaratran/jev-pruner) into .claude/skills/modal-login in your project. Claude Code loads it when a task matches its description.
How do I install Modal Login in Codex?
Run `npx skills add tamaratran/jev-pruner --skill modal-login -a codex`. Or copy the skill folder (.agents/skills/modal-login in tamaratran/jev-pruner) into .agents/skills/modal-login in your project. Codex loads it when a task matches its description.
Can I use Modal Login in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tamaratran/jev-pruner --skill modal-login -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/modal-login, .gemini/skills/modal-login, .github/skills/modal-login and .opencode/skills/modal-login in your project.
What does Modal Login need to run?
Going by SKILL.md and its folder, Modal Login needs Python for the scripts in its folder and the command-line tools its instructions call (modal and python). Our summary lists: Python 3.
Does Modal Login access the network?
SKILL.md names 1 domain. In commands or code: modal.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Modal Login safe to install?
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.
What licence does Modal Login use?
Modal Login is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Modal Login use?
About 392 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Modal Login?
Skills that share tags, products or a category with Modal Login: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Modal Login?
tamaratran (a GitHub user) maintains it in tamaratran/jev-pruner, which has 160 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 30, 2026.
Source: tamaratran/jev-pruner on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.