Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ericwang915/PythonClaw --skill http_requestgit clone --depth 1 https://github.com/ericwang915/PythonClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ericwang915/pythonclaw/http_request)<a href="https://agentmods.dev/skills/ericwang915/pythonclaw/http_request"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/http_request/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ericwang915/pythonclaw/http_request"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/http_request.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.00401 |
| Opus 5.5 | $0.00032 | $0.00160 |
| Sonnet 5.5 | $0.00016 | $0.00080 |
| Haiku 4.5 | $0.00008 | $0.00040 |
Grade A, and why
http_request scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
web search (use tavily_search), or file downloads (use curl/wget). What it actually says
HTTP Request
When to Use
- Call REST APIs (GET, POST, PUT, DELETE, PATCH)
- Test or probe API endpoints
- Fetch JSON or data from a URL
- Send request bodies and custom headers
When NOT to Use
- Web search — use
tavily_search(web_search tool) - Scraping page content — use
web_scraper - Simple file downloads — use
curlorwget - GitHub operations — use
githubskill
Setup
Install dependency: pip install requests
Usage/Commands
python {skill_path}/request.py URL [options]
| Option | Description |
|---|---|
| `--method GET | POST |
--data '{"key": "value"}' |
JSON request body |
--header "Name: Value" |
Custom header (repeatable) |
--timeout N |
Timeout in seconds |
| `--format text | json |
Notes
- For APIs requiring auth, use
--header "Authorization: Bearer <token>" - JSON body must be valid; escape quotes properly for shell
- Prefer this for structured API calls; use web_scraper for HTML extraction
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 51 lines · 79 tokens per session scan A 5cbd111d2b41
http_request is a skill published in the GitHub repository ericwang915/PythonClaw (45 stars, last pushed 10d ago), licensed MIT. It adds 79 tokens to every session and 401 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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