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 agentmods add skills/81120/light-agent/web_fetcher_skillnpx skills add 81120/light-agent --skill web_fetcher_skillgit clone --depth 1 https://github.com/81120/light-agentWrote 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/81120/light-agent/web_fetcher_skill)<a href="https://agentmods.dev/skills/81120/light-agent/web_fetcher_skill"><img src="https://agentmods.dev/badge/skills/81120/light-agent/web_fetcher_skill.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00033 | $0.00266 |
| Opus 5 | $0.00016 | $0.00133 |
| Sonnet 5 | $0.00007 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
web_fetcher_skill scanned grade A with 0 findings 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 6d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Web Fetcher
Use Cases
Use this skill when you need web content:
- Fetch news article content
- Extract text from webpages
- Retrieve JSON from API endpoints
Steps
- Prepare the target URL.
- Run
node scripts/fetch.js <url> [format]. - The script returns webpage content.
Command
node scripts/fetch.js <url> [format]
url: target URL (required)format: output format,text(default) orhtml
Output Format
- Success: webpage content (text or HTML)
- Failure: error message
Examples
# Fetch page text content
node scripts/fetch.js "https://example.com/article"
# Fetch raw HTML
node scripts/fetch.js "https://example.com" html
# Fetch API JSON response
node scripts/fetch.js "https://api.github.com/users/github"
Notes
- Some websites may block scraping
- Large pages may take longer to fetch
- Only HTTP/HTTPS is supported
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.
- 6d ago First seen · 54 lines · 33 tokens per session scan A 57d8eae3beee
web_fetcher_skill is a skill published in the GitHub repository 81120/light-agent (24 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 266 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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