Token导航 LogoToken导航

Agent Skill · 开发

http-toolkit-intercept(http 工具包拦截)

http-toolkit-intercept 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

http-toolkit-intercept 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 13,743。

总安装 832周安装 35GitHub Stars 64下载 291核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:http-toolkit-intercept(http 工具包拦截)
来源仓库:https://github.com/factory-ai/factory-plugins
仓库路径:skills/http-toolkit-intercept
安装命令:
npx skills add https://github.com/factory-ai/factory-plugins --skill http-toolkit-intercept
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/factory-ai/factory-plugins --skill http-toolkit-intercept

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于拦截与修改 HTTP 请求/响应以调试或增强功能。适合在 Codex、Claude、Cursor、Gemini CLI 中实现 A/B 测试或埋点整理。通过 GitHub 仓库安装,需注入拦截逻辑到请求生命周期。应避免在生产环境开启详细日志输出。

http-toolkit-intercept 属于开发类 Skill,可作为该场景下的辅助能力补充。建议提供开关配置以便快速回滚变更。

来源仓库内路径:skills/http-toolkit-intercept

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/factory-ai/factory-plugins --skill http-toolki…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

http-toolkit-intercept 怎么安装?

在终端执行 npx skills add https://github.com/factory-ai/factory-plugins --skill http-toolkit-intercep…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

http-toolkit-intercept 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

http-toolkit-intercept 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/factory-ai/factory-plugins --skill http-toolkit-intercept 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

http-toolkit-intercept 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

http-toolkit-intercept 用的人多吗?

公开数据是累计安装 832 次,近一周安装 35 次,下载 291 次,GitHub 64 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

http-toolkit-intercept 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
http-toolkit-intercept

http 工具包拦截 · 本页

83264执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

HTTP Toolkit Intercept

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, PHP, Rust, shell scripts, etc. — as long as the process respects a proxy.

The reliable pattern is:

  1. Start HTTP Toolkit correctly.
  2. Run the program through the proxy in a mode that produces a machine-readable log (e.g. --output-format json, debug logging, or structured stdout).
  3. Export outbound HTTP requests from HTTP Toolkit.
  4. Pair the outbound HTTP export with the inbound program session log.

Do not rely on TUI screenshots alone when the question is about request payloads, auth headers, or wire-level behavior.

Prerequisites / Known-Good Launch

Start HTTP Toolkit

On Linux/headless environments, plain httptoolkit often fails due to sandbox/X11 issues. Prefer:

xvfb-run --auto-servernum httptoolkit --no-sandbox

If a stale server is already running on ports 45456/45457, stop it first:

pkill -f "HTTP Toolkit Server|httptoolkit|xvfb-run --auto-servernum httptoolkit" || true

Verify the proxy is reachable

# HTTP Toolkit's admin API lives on port 45456/45457 by default.
# Treat 200/401/403 as "reachable"; only connection failure means the server is dead.
curl -s -o /dev/null -w "%{http_code}\n" http://127.0.0.1:45456/config

Quick Start

1. Launch your program with the proxy env vars set

The canonical env vars most runtimes honor:

HTTP_PROXY="http://127.0.0.1:8000" \
HTTPS_PROXY="http://127.0.0.1:8000" \
ALL_PROXY="http://127.0.0.1:8000" \
NO_PROXY="" \
<your-program> <args>

Some runtimes require an extra env var or flag — see the "Runtime proxy matrix" below.

If the HTTP Toolkit CA is not trusted by your runtime, TLS verification will fail. See "TLS Safety" below. Disabling TLS verification is appropriate only for controlled local debugging.

2. Capture the inbound session log

If your program supports a machine-readable output mode (e.g. --output-format stream-json, --json, --log-level debug, structured stdout, or writing to a file), pipe it to a file:

<your-program> exec --output-format stream-json "your input" \
  > /tmp/session-stdout.log 2> /tmp/session-stderr.log

3. Export outbound HTTP from HTTP Toolkit

Either:

  • Use the HTTP Toolkit GUI export (File → Export → JSON / HAR), or
  • Hit the admin API directly. The exact endpoint depends on your HTTP Toolkit version; inspect DevTools in the HTTP Toolkit UI to see the requests it makes.

4. Cross-reference the two streams

  • Outbound HTTP (from HTTP Toolkit): authoritative for request bodies, headers, auth tokens, retry timing.
  • Inbound session log (from the program): authoritative for how your code reacted to the responses.

Together they answer: "what did we send?" and "what did we do with the response?"

What finally worked for payload verification

The critical correct pathways that proved reliable were:

  1. Use a non-interactive / exec mode, not the TUI, when verifying payloads

- Interactive TUIs are slower and much harder to analyze. - Use whatever your program has for scripting (--output-format, --json, --headless, --batch).

  1. Treat outbound and inbound as separate evidence sources

- HTTP Toolkit gives outbound HTTP requests. - The program's session log gives inbound assistant/tool/application behavior. - You need both to answer: "what did the remote return?" and "what did the program actually do with it?"

  1. Set the proxy env vars your specific runtime honors

- HTTP_PROXY/HTTPS_PROXY cover most runtimes, but some (e.g. Bun, Java) require extra vars or flags. - See the "Runtime proxy matrix" below.

  1. Disable TLS verification only for controlled local debugging when needed

- If the HTTP Toolkit CA is not trusted locally, use the runtime-specific escape hatch to skip verification. - Prefer trusting the CA in your OS / language trust store instead. - Never disable TLS in production repros.

  1. Keep runs bounded

- Long network-heavy sessions can take time. - If you only need to prove request shape, export after the relevant request is observed — you do not always need to wait for full completion.

Key Facts

  • Proxy env vars are runtime-specific — know which ones your runtime honors
  • HTTP Toolkit admin API is request-oriented — outbound HTTP comes from HTTP Toolkit, inbound behavior comes from the program log
  • TLS is verified by default — runtime-specific skip flags are local-dev escape hatches only

Runtime proxy matrix

RuntimeProxy env vars / flagsTLS bypass (local dev only)
Node.jsHTTP_PROXY, HTTPS_PROXY, NO_PROXY (most libraries); some HTTP clients need --proxy flags or explicit agent: optionNODE_TLS_REJECT_UNAUTHORIZED=0 or NODE_EXTRA_CA_CERTS=/path/to/ca.pem
BunBUN_CONFIG_PROXY (mandatory — plain HTTP_PROXY/HTTPS_PROXY are silently ignored for Bun's own fetch)NODE_TLS_REJECT_UNAUTHORIZED=0
DenoHTTP_PROXY, HTTPS_PROXY--unsafely-ignore-certificate-errors
Python (requests, httpx)HTTP_PROXY, HTTPS_PROXY, ALL_PROXYREQUESTS_CA_BUNDLE / SSL_CERT_FILE pointing at the HTTP Toolkit CA, or verify=False in code
Python (urllib)Same env varsSSL_CERT_FILE or disable context verification
Go (net/http)HTTP_PROXY, HTTPS_PROXY, NO_PROXY (honored via http.ProxyFromEnvironment)SSL_CERT_FILE or InsecureSkipVerify: true in the transport
RubyHTTP_PROXY, HTTPS_PROXYSSL_CERT_FILE, or OpenSSL::SSL::VERIFY_NONE
Java / JVM-Dhttp.proxyHost=127.0.0.1 -Dhttp.proxyPort=8000 -Dhttps.proxyHost=127.0.0.1 -Dhttps.proxyPort=8000; env vars are not honored by the JVMImport CA into a truststore and pass -Djavax.net.ssl.trustStore=...
.NET / C#HTTP_PROXY, HTTPS_PROXY, ALL_PROXY (on recent runtimes) or configure HttpClient explicitlyTrust CA in OS store, or HttpClientHandler.ServerCertificateCustomValidationCallback
PHP (curl / cli)HTTP_PROXY, HTTPS_PROXY (or per-call CURLOPT_PROXY)CURLOPT_SSL_VERIFYPEER => false
Rust (reqwest)HTTP_PROXY, HTTPS_PROXYdanger_accept_invalid_certs(true) on the client
curl / shellHTTP_PROXY, HTTPS_PROXY env vars or -x/--proxy flag-k / --insecure
Docker containersPass env vars through with -e HTTP_PROXY=...; use host.docker.internal (Mac/Win) or --network=host (Linux) so the container can reach the proxyMount the CA into the image and install it, or use runtime-specific bypass flags

Prefer trusting the HTTP Toolkit CA in your runtime/OS trust store over disabling verification. Bypass flags should be local-dev only.

TLS Safety Guardrails

  • Keep TLS verification enabled whenever possible.
  • Prefer trusting the HTTP Toolkit CA in your local trust store instead of disabling verification.
  • Use runtime-specific TLS-bypass flags only for controlled local debugging in development.
  • Never disable TLS when intercepting production traffic.

Inspecting Captured Logs

Filter to relevant events only

If your program emits newline-delimited JSON, use jq:

jq -c 'select(.type == "tool_call" or .type == "message")' /tmp/session-stdout.log

Adjust the filter to match your program's event schema. For plain-text logs, use rg/grep patterns.

Match outbound HTTP to inbound events

Sort both streams by timestamp, then interleave them. The sequence usually looks like:

outbound POST /api/endpoint        (from HTTP Toolkit)
inbound  event received             (from program log)
inbound  follow-up action           (from program log)
outbound POST /api/endpoint        (next request)

If a program log shows an outbound request that HTTP Toolkit didn't capture, that's a proxy-config bug.

Troubleshooting

ProblemCauseFix
Program hangs, no events after startupProxy env vars not reaching the process, or TLS verification blockingRe-run with the right env vars for your runtime (see matrix); if necessary, enable the runtime's TLS bypass in dev
ECONNRESET / connection reset on every requestRuntime-specific proxy env var missing (e.g. BUN_CONFIG_PROXY for Bun, JVM -D flags for Java)Use the correct runtime-specific proxy config
TLS cert errors via proxyMITM CA not trusted by this runtimeTrust HTTP Toolkit CA in the runtime / OS store, or enable the runtime's TLS bypass in dev only
HTTP Toolkit API 403s on /configAuth-gated config endpointTreat 200/401/403 as reachable; only connection failure means the server is dead
Export has outbound data but no matching inbound eventsDidn't capture the program logAdd > /tmp/session.log redirection to the launch
HTTP Toolkit misses the first requestStarted capturing after the process launchedStart HTTP Toolkit first, THEN launch the program
Container / VM can't reach 127.0.0.1:8000Loopback is container-localUse host.docker.internal (Docker Desktop) or --network=host (Linux)
Program ignores env vars entirelyRuntime doesn't honor env vars (e.g. JVM)Use runtime-specific flags (-Dhttp.proxyHost=... for JVM, etc.)

平台分布

Codex

37.72%
按下载量换算110

Claude

29.02%
按下载量换算84

Cursor

19.3%
按下载量换算56

Gemini CLI

9.1%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/factory-ai/factory-plugins --skill http-toolkit-intercept 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills