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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install clean-http-toolkit - After installation, invoke the skill by name or use
/clean-http-toolkit - Provide required inputs per the skill's parameter spec and get structured output
What is Clean HTTP Toolkit?
Local HTTP client + tiny server toolkit for AI agents. GET / POST / PUT / PATCH / DELETE with retries on 5xx/429, gzip decoding, redirect following, --bearer... It is an AI Agent Skill for Claude Code / OpenClaw, with 28 downloads so far.
How do I install Clean HTTP Toolkit?
Run "/install clean-http-toolkit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Clean HTTP Toolkit free?
Yes, Clean HTTP Toolkit is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Clean HTTP Toolkit support?
Clean HTTP Toolkit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Clean HTTP Toolkit?
It is built and maintained by gopendrasharma89-tech (@gopendrasharma89-tech); the current version is v0.1.0.