Clean HTTP Toolkit
/install clean-http-toolkit
clean-http-toolkit
v0.1.0
Fifth member of the clean-* family. AI agents constantly need to fetch a URL, POST to an API, download a dataset, or run a mock server for tests — and currently the only option is shell-out to curl (no retry logic) or pip-install requests. This toolkit gives them all four in pure stdlib.
Scripts
scripts/get.py— HTTP GET with retries (5xx/429), gzip decoding, redirect-following,--bearer TOKEN,--basic USER:PASS,--header 'Name: V',--query K=V,--jsonpretty-print,--print-headers,--status-only,--fail(exit 1 on non-2xx).scripts/post.py— POST / PUT / PATCH / DELETE via--method. Body sources:--json '\x3CJSON>',--json-file PATH,--form K=V(repeatable),--raw-file PATH(with--content-type). Same auth + retry options asget.py.scripts/download.py— streaming file download with progress bar on stderr, retries on transient errors,--resumefor incomplete files,--sha256 HEX/--md5 HEXverification, configurable--chunk-size. Memory stays bounded regardless of file size.scripts/serve.py— tiny local HTTP server for tests. Two modes:static(serve a directory, likepython3 -m http.serverbut with--max-requests Ncutoff so CI tests can run and exit cleanly) andecho(reply to every request with a JSON envelope describing the request itself — perfect for webhook smoke tests). Binds to127.0.0.1by default for safety.scripts/check_deps.sh— verifypython3.
Quick start
# Simple GET
python3 scripts/get.py https://api.example.com/users
# GET with auth, query params, JSON pretty-print
python3 scripts/get.py https://api.example.com/users \
--bearer "$TOKEN" \
--query 'limit=20' --query 'page=1' \
--json
# Just the status code (great for health checks)
python3 scripts/get.py https://example.com --status-only
# POST JSON
python3 scripts/post.py https://api.example.com/users \
--json '{"name":"Alice","email":"[email protected]"}' \
--bearer "$TOKEN"
# POST a form
python3 scripts/post.py https://example.com/login \
--form 'user=alice' --form 'pass=secret'
# PUT a JSON file
python3 scripts/post.py https://api.example.com/items/42 \
--method PUT --json-file payload.json
# Download with progress + SHA-256 verification
python3 scripts/download.py \
https://releases.example.com/model.tar.gz \
~/Downloads/model.tar.gz \
--sha256 abc123def456...
# Resume an incomplete download
python3 scripts/download.py URL out.bin --resume
# Local static server for tests
python3 scripts/serve.py --directory ./public --port 8080
# Echo server for webhook smoke tests (auto-exits after 5 requests)
python3 scripts/serve.py --mode echo --port 9000 --max-requests 5
Exit codes
| Code | Meaning |
|---|---|
| 0 | success / 2xx response (or any response if --fail not set) |
| 1 | --fail and response was non-2xx; or --sha256 / --md5 mismatch on download |
| 2 | bad arguments / unsafe path / bad URL / network error / non-2xx download |
Safety properties
- Pure Python 3 standard library (
urllib,http.server). Norequests, nohttpx, no pip install. - All file paths validated against the same safe-path policy as the other
clean-*toolkits. - All URLs validated: must be
http://orhttps://with a host. serve.pybinds to127.0.0.1by default; you must pass--bind 0.0.0.0explicitly to expose it.--insecureis opt-in only — TLS verification is on by default.- Retries are bounded (
--retries N, default 3) with exponential backoff capped at the backoff base × 2^attempt.
Why pure stdlib
Agents are usually run in restricted environments (sandboxes, CI runners, ephemeral containers) where pip install either fails, is forbidden, or burns minutes of setup time. Every script here uses only Python stdlib so it can run anywhere Python 3 is present.
Pairs well with
clean-text-toolkit— pipeget.py URLintohtmlstrip.pyto scrape a page to plain text in one command.clean-json-toolkit— pipe API responses intoquery.py/validate.py/merge.py.clean-log-toolkit—serve.pystatic mode is useful for replaying captured log files over HTTP for parser tests.clean-csv-toolkit— download a CSV withdownload.py, theninspect.py/validate.pyit.
v0.1.0 changes
- First public release. Four scripts:
get.py,post.py,download.py,serve.py. - Shared
_common.pywithsafe_path,safe_url,parse_headers,fetch(with retry + gzip + redirect handling). - All five
clean-*toolkits now share the same safe-path policy, the same 0 / 1 / 2 exit-code contract, and the same zero-dependency principle.
License
MIT
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install clean-http-toolkit - 安装完成后,直接呼叫该 Skill 的名称或使用
/clean-http-toolkit触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Clean HTTP Toolkit 是什么?
Local HTTP client + tiny server toolkit for AI agents. GET / POST / PUT / PATCH / DELETE with retries on 5xx/429, gzip decoding, redirect following, --bearer... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 28 次。
如何安装 Clean HTTP Toolkit?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install clean-http-toolkit」即可一键安装,无需额外配置。
Clean HTTP Toolkit 是免费的吗?
是的,Clean HTTP Toolkit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Clean HTTP Toolkit 支持哪些平台?
Clean HTTP Toolkit 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Clean HTTP Toolkit?
由 gopendrasharma89-tech(@gopendrasharma89-tech)开发并维护,当前版本 v0.1.0。