TinyFish Cookbook is a collection of example applications, recipes, and automations built with TinyFish, a web service that lets AI agents search the live web, read pages, and perform browser-based tasks. Developers use it to learn how to build web agents and connect them with workflows such as research, monitoring, and data collection. The catalogue entries provide agent skills and integrations for working with these examples and TinyFish endpoints.
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 tinyfish-io/tinyfish-cookbook --skill company-hiring-intelgit clone --depth 1 https://github.com/tinyfish-io/tinyfish-cookbookWrote 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/tinyfish-io/tinyfish-cookbook/company-hiring-intel)<a href="https://agentmods.dev/skills/tinyfish-io/tinyfish-cookbook/company-hiring-intel"><img src="https://agentmods.dev/badge/skills/tinyfish-io/tinyfish-cookbook/company-hiring-intel/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/tinyfish-io/tinyfish-cookbook/company-hiring-intel"><img src="https://agentmods.dev/badge/skills/tinyfish-io/tinyfish-cookbook/company-hiring-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 65 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
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 | $0.00169 | $0.03511 |
| Opus 5 | $0.00084 | $0.01755 |
| Sonnet 5 | $0.00034 | $0.00702 |
| Haiku 4.5 | $0.00017 | $0.00351 |
Grade B, and why
company-hiring-intelligence scanned grade B 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 10d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
> **Option 5 — Claude Code settings:** Add to `~/.claude/settings.local.json`: How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Hiring Intelligence — Reverse-Engineer What a Company Is Building From Their Job Postings
You have access to the TinyFish CLI (tinyfish), a tool that runs browser automations from the terminal using natural language goals. This skill uses it to scrape a company's careers page, LinkedIn Jobs, and engineering blog in parallel, then synthesizes the raw hiring data into a strategic intelligence report.
A company quietly posting eight ML infra roles and two vector database engineers is telling you something. This skill reads those signals.
Pre-flight Check (REQUIRED)
Before making any TinyFish call, always run BOTH checks:
1. CLI installed?
PowerShell:
Get-Command tinyfish; tinyfish --version
bash/zsh:
which tinyfish && tinyfish --version || echo "TINYFISH_CLI_NOT_INSTALLED"
If not installed, stop and tell the user:
Install the TinyFish CLI:
npm install -g @tiny-fish/cli
2. Authenticated?
tinyfish auth status
If not authenticated, stop and tell the user:
You need a TinyFish API key. Get one at: https://agent.tinyfish.ai/api-keys
Then authenticate:
Option 1 — CLI login (interactive):
tinyfish auth loginOption 2 — bash/zsh (Mac/Linux):
export TINYFISH_API_KEY="your-key-here"Option 3 — PowerShell (current session only):
$env:TINYFISH_API_KEY="your-key-here"Option 4 — PowerShell (persist across sessions):
[System.Environment]::SetEnvironmentVariable("TINYFISH_API_KEY", "your-key-here", "User")Then close and reopen PowerShell.
Option 5 — Claude Code settings: Add to
~/.claude/settings.local.json:{ "env": { "TINYFISH_API_KEY": "your-key-here" } }
Do NOT proceed until both checks pass.
What This Skill Does
Given a company name (e.g. "Notion" or "Mistral AI"), this skill:
- Scrapes the company careers page for all open roles — titles, teams, locations, and posting dates
- Scrapes LinkedIn Jobs for the same company to cross-reference postings and surface duplicates or long-unfilled roles
- Scrapes the company's engineering blog (if one exists) for recent technical posts that signal architectural direction
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.
- 10d ago First seen · 360 lines · 169 tokens per session scan B fa94359796a9
company-hiring-intelligence is a skill published in the GitHub repository tinyfish-io/tinyfish-cookbook (2,156 stars, last pushed 9d ago), licensed MIT. It adds 169 tokens to every session and 3,511 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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browser
Browser automation via the agent-browser CLI. Use when the user needs to drive websites or Electron desktop apps — navigating, filling forms, clicking, screenshots, extracting data, testing web apps, visual UI checks, the Pi Dashboard's Electron shell, or the user's own logged-in browser (SSO/2FA sites). Triggers…
06-test
Write and iterate tests until they pass, or validate a user journey end to end in the browser. Use when the user wants to add coverage, find what's untested, or walk a flow. Not for auditing test health or debugging a failure.
run-dashboard-e2e-local-changes
Run Playwright E2E (tests/e2e/) against the docker/ all-in-one harness so it reflects LOCAL code changes, not a stale cached image.
web-game-development
Implement and optimize browser games using Phaser, Three.js, React Three Fiber, Babylon.js, or PlayCanvas with responsive input, asset loading, rendering, and browser playtests. Use for JavaScript or TypeScript game projects.
browser-qa
Validate web applications through the embedded browser with responsive, interaction, console, and screenshot checks.