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 runxhq/runx --skill web-fetchgit clone --depth 1 https://github.com/runxhq/runxWrote 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/runxhq/runx/web-fetch)<a href="https://agentmods.dev/skills/runxhq/runx/web-fetch"><img src="https://agentmods.dev/badge/skills/runxhq/runx/web-fetch/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/runxhq/runx/web-fetch"><img src="https://agentmods.dev/badge/skills/runxhq/runx/web-fetch.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 | $0.00026 | $0.01617 |
| Opus 5.5 | $0.00010 | $0.00647 |
| Sonnet 5.5 | $0.00005 | $0.00323 |
| Haiku 4.5 | $0.00003 | $0.00162 |
Grade A, and why
web-fetch 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 14d 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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Fetch
Fetch one URL, prove it was allowed, extract the part the caller asked for, and return that slice by digest with the provenance needed to trust it later.
What this skill does
web-fetch retrieves a single public URL,
extracts text, metadata, or links, and seals the result so a downstream step can
cite the fetch without re-fetching. It checks the final host against the
effective host policy before and after redirects, reads the page whole, and returns
the final URL, the HTTP status, a content_digest over the retrieved body, the
extracted slice, and a provenance block recording when it ran, every redirect
hop, and how many bytes it read. The body is referenced by digest; only the
extracted slice is inlined.
This is the primitive an agent reaches for when it has already decided which page
to read. The decision it makes easier is "can I read this page, and what did it
actually say", with the answer backed by a digest instead of a remembered
paraphrase. The calling agent decides which sources matter and synthesizes
across them; web-fetch retrieves exactly one source. By default it may follow
that source across any publicly routable host. Supply allowlist only when the
operator needs to narrow the initial request and every redirect to named hosts.
The request path is native Runx code. Skills do not supply a JavaScript HTTP client: the runtime owns public-network enforcement, redirect admission, timeouts, retries, the operator's page ceiling, response digests, and receipt-safe evidence.
When to use this skill
- An agent has chosen a specific page and needs its content bound to a
content_digestso a later step can cite it without re-fetching. - A research pass needs each source retrieved through one bounded public-network fetch with a complete redirect chain and byte count.
- A review must later prove what a page said at fetch time.
- A follow-on governed operation needs one source extracted as
text,metadata, orlinks.
When not to use this skill
What ships with it
10 files 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.
- fixtures/composes-in-graph.yaml 591 B
- fixtures/fetch-example-metadata.yaml 1.3 KB
- fixtures/fetch-metadata-within-allowlist.yaml 789 B
- fixtures/fetch-missing-url-fails-preflight.yaml 212 B
- fixtures/fetch-text-within-allowlist.yaml 1.4 KB
- fixtures/support/composed.graph 300 B
- mark.svg 397 B
- references/catalog.md 130 B
- references/mark-license.md 3.1 KB
- run.yaml 1.5 KB
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.
- 14d ago Changed · +1 lines 7f254589438b
- 1mo ago First seen · 141 lines · 26 tokens per session scan A f0a140311293
web-fetch is a skill published in the GitHub repository runxhq/runx (104 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 1,617 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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