Gemini Live API Dev
google-gemini/gemini-skills
A skill your agent uses when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live.
Intercept and debug HTTP traffic from any CLI, service, or script using HTTP Toolkit.
Install HTTP Toolkit Intercept
$ npx skills add Factory-AI/factory-plugins --skill http-toolkit-intercept -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Factory-AI/factory-plugins http-toolkit-intercept --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/Factory-AI/factory-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/debugging/skills/http-toolkit-intercept .claude/skills/http-toolkit-intercept && 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 "http-toolkit-intercept" agent skill from https://github.com/Factory-AI/factory-plugins/tree/master/plugins/debugging/skills/http-toolkit-intercept into .claude/skills/http-toolkit-intercept/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "http-toolkit-intercept", 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/Factory-AI/factory-plugins/tree/master/plugins/debugging/skills/http-toolkit-interceptType 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 Factory-AI/factory-plugins --skill http-toolkit-intercept -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Factory-AI/factory-plugins http-toolkit-intercept --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Factory-AI/factory-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/debugging/skills/http-toolkit-intercept .agents/skills/http-toolkit-intercept && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "http-toolkit-intercept" agent skill from https://github.com/Factory-AI/factory-plugins/tree/master/plugins/debugging/skills/http-toolkit-intercept into .agents/skills/http-toolkit-intercept/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "http-toolkit-intercept", 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 Factory-AI/factory-plugins --skill http-toolkit-intercept -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Factory-AI/factory-plugins http-toolkit-intercept --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Factory-AI/factory-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/debugging/skills/http-toolkit-intercept .cursor/skills/http-toolkit-intercept && 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 "http-toolkit-intercept" agent skill from https://github.com/Factory-AI/factory-plugins/tree/master/plugins/debugging/skills/http-toolkit-intercept into .cursor/skills/http-toolkit-intercept/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "http-toolkit-intercept", 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/Factory-AI/factory-plugins.git --path plugins/debugging/skills/http-toolkit-intercept--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 Factory-AI/factory-plugins --skill http-toolkit-intercept -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Factory-AI/factory-plugins http-toolkit-intercept --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Factory-AI/factory-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/debugging/skills/http-toolkit-intercept .gemini/skills/http-toolkit-intercept && 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 "http-toolkit-intercept" agent skill from https://github.com/Factory-AI/factory-plugins/tree/master/plugins/debugging/skills/http-toolkit-intercept into .gemini/skills/http-toolkit-intercept/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "http-toolkit-intercept", 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 Factory-AI/factory-plugins http-toolkit-interceptInstalls 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 Factory-AI/factory-plugins --skill http-toolkit-intercept -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Factory-AI/factory-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/debugging/skills/http-toolkit-intercept .github/skills/http-toolkit-intercept && 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 "http-toolkit-intercept" agent skill from https://github.com/Factory-AI/factory-plugins/tree/master/plugins/debugging/skills/http-toolkit-intercept into .github/skills/http-toolkit-intercept/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "http-toolkit-intercept", 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 Factory-AI/factory-plugins --skill http-toolkit-intercept -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Factory-AI/factory-plugins http-toolkit-intercept --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Factory-AI/factory-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/debugging/skills/http-toolkit-intercept .opencode/skills/http-toolkit-intercept && 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 "http-toolkit-intercept" agent skill from https://github.com/Factory-AI/factory-plugins/tree/master/plugins/debugging/skills/http-toolkit-intercept into .opencode/skills/http-toolkit-intercept/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "http-toolkit-intercept", 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
http-toolkit-intercept- GitHub stars
- 110
- Token cost
- ~2.5k tokens
- SKILL.md length
- 1,120 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- None found
At a glance
Intercept and debug HTTP traffic from any CLI, service, or script using HTTP Toolkit.
- Works in 4 steps: Launch your program with the proxy env… → Capture the inbound session log → Export outbound HTTP from HTTP Toolkit → …
- You need to inspect LLM API calls
- SKILL.md covers Prerequisites / Known-Good…, Quick Start, What finally worked for… and Key Facts, plus 3 more sections
- Calls curl and jq
What it does
HTTP Toolkit Intercept is an agent skill from Factory-AI/factory-plugins. Intercept and debug HTTP traffic from any CLI, service, or script using HTTP Toolkit. Use when you need to inspect LLM API calls, backend requests, auth flows, or debug network-level issues across any language or runtime.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Authentication and LLM API integration. The repository describes itself as: Official Factory plugins marketplace.
When your agent uses it
- You need to inspect LLM API calls
- Backend requests
- Debug network-level issues across any language
Example prompts
- “/http-toolkit-intercept”
Requirements
- Python 3
- Node.js
- Docker
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Launch your program with the proxy env vars set
- Capture the inbound session log
- Export outbound HTTP from HTTP Toolkit
- Cross-reference the two streams
What it can do on your machine
Read from SKILL.md and the folder at commit d362dc1. 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
Shell commands in SKILL.md call:
curljq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
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
HTTP Toolkit Intercept loads about 2.5k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,120 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,120 words (~2,461 tokens).
“Use this skill when you need authoritative evidence of what your program sent to a remote API and what it received back while verifying a code change. Works across any runtime — Node.js, Bun, Deno, Python, Go, Ruby, Java/JVM, .NET…”
- name
- http-toolkit-intercept
Files
Just SKILL.md in plugins/debugging/skills/http-toolkit-intercept of Factory-AI/factory-plugins.
Open the folder on GitHubat commit d362dc1
Compare with similar skills
HTTP Toolkit Intercept 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 |
|---|---|---|---|---|---|---|
| HTTP Toolkit Intercept this skillFactory-AI/factory-plugins | 110 | — | ~2.5k | Automated safety check: Pass | None | |
| Gemini Live API Devgoogle-gemini/gemini-skills | 4.3k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Instructor Structured LLM OutputsOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Oci Data Scienceoracle/accelerated-data-science | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | |
| Eval IntegrationIbrahim-3d/orchestrator-supaconductor | 380 | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 |
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Related
Questions about HTTP Toolkit Intercept
What does HTTP Toolkit Intercept do?
Intercept and debug HTTP traffic from any CLI, service, or script using HTTP Toolkit. HTTP Toolkit Intercept is an agent skill from Factory-AI/factory-plugins. Intercept and debug HTTP traffic from any CLI, service, or script using HTTP Toolkit.
When should I use HTTP Toolkit Intercept?
HTTP Toolkit Intercept fits situations like: you need to inspect LLM API calls; backend requests; debug network-level issues across any language.
How do I install HTTP Toolkit Intercept in Claude Code?
Run `npx skills add Factory-AI/factory-plugins --skill http-toolkit-intercept -a claude-code`. Or copy the skill folder (plugins/debugging/skills/http-toolkit-intercept in Factory-AI/factory-plugins) into .claude/skills/http-toolkit-intercept in your project. Claude Code loads it when a task matches its description.
How do I install HTTP Toolkit Intercept in Codex?
Run `npx skills add Factory-AI/factory-plugins --skill http-toolkit-intercept -a codex`. Or copy the skill folder (plugins/debugging/skills/http-toolkit-intercept in Factory-AI/factory-plugins) into .agents/skills/http-toolkit-intercept in your project. Codex loads it when a task matches its description.
Can I use HTTP Toolkit Intercept 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 Factory-AI/factory-plugins --skill http-toolkit-intercept -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/http-toolkit-intercept, .gemini/skills/http-toolkit-intercept, .github/skills/http-toolkit-intercept and .opencode/skills/http-toolkit-intercept in your project.
What does HTTP Toolkit Intercept need to run?
Going by SKILL.md and its folder, HTTP Toolkit Intercept needs the command-line tools its instructions call (curl and jq). Our summary lists: Python 3; Node.js; Docker.
Does HTTP Toolkit Intercept access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is HTTP Toolkit Intercept 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 HTTP Toolkit Intercept use?
No licence was found for HTTP Toolkit Intercept or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does HTTP Toolkit Intercept use?
About 2.5k tokens (SKILL.md is roughly 9.8k 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 HTTP Toolkit Intercept?
Skills that share tags, products or a category with HTTP Toolkit Intercept: Gemini Live API Dev (google-gemini/gemini-skills, 4.3k stars), Azure AI Projects Python SDK (microsoft/skills, 3.1k stars), Instructor Structured LLM Outputs (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Oci Data Science (oracle/accelerated-data-science, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains HTTP Toolkit Intercept?
Factory-AI (a GitHub organization) maintains it in Factory-AI/factory-plugins, which has 110 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 15, 2026.
Source: Factory-AI/factory-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.