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/tinyfish-io/tinyfish-cookbook/fetchnpx skills add tinyfish-io/tinyfish-cookbook --skill fetchgit clone --depth 1 https://github.com/tinyfish-io/tinyfish-cookbookWhat 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 | $0.00121 | $0.00710 |
| Opus 5 | $0.00060 | $0.00355 |
| Sonnet 5 | $0.00024 | $0.00142 |
| Haiku 4.5 | $0.00012 | $0.00071 |
Grade A, and why
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 2d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TinyFish Fetch
Free, token-efficient content extraction via the bundled TinyFish MCP server (fetch_content tool). Renders pages in a real browser and returns clean, structured content — actual page text, not a lossy summary — so it handles JavaScript-heavy and dynamic pages that raw HTTP fetching can't.
When to use this over built-in fetch
- It's free and returns clean, deduplicated content instead of raw markup, so it costs fewer tokens to read.
- It renders in a real browser, so it works on JS-heavy pages that a plain HTTP fetch would return empty or broken.
- It fetches up to 10 URLs in parallel in a single call — no need for repeated round-trips.
- Optional CSS-selector scoping (
include_selectors/exclude_selectors) lets you pull just the content that matters and skip boilerplate, and conditional-request support (if_none_match/if_modified_since) avoids re-fetching unchanged pages.
Parameters
urls(required) — 1-10 URLs, fetched in parallel; one failing doesn't block the othersformat—"markdown"(default, best for LLM consumption),"html"(cleaned semantic HTML), or"json"(structured document tree)links— include all outbound links from each pageimage_links— include all image URLs from each pageinclude_selectors/exclude_selectors— arrays of CSS selectors to scope extraction to, or strip out before extractionif_none_match/if_modified_since— replay a prior ETag/Last-Modified validator (single URL only). Only works on the fast (non-browser-rendered) path — a browser-rendered URL may returnconditional_unsupported; if so, retry without the validators.include_etag_and_last_modified— opt in to receiving validators on each result for future conditional requestsper_url_timeout_ms— independent timeout budget per URLpurpose— optional short note on why you're fetching, used to tailor extraction
Response includes per URL: url, final_url, title, language, author, published_date, text (and links/image_links if requested).
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.
- 2d ago First seen · 48 lines · 121 tokens per session scan A 109e4a755886
fetch is a skill published in the GitHub repository tinyfish-io/tinyfish-cookbook (2,135 stars, last pushed 5d ago), licensed MIT. It adds 121 tokens to every session and 710 once invoked, about $0.0006 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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