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 TakoData/tako-mcp --skill tako-searchgit clone --depth 1 https://github.com/TakoData/tako-mcpWrote 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/takodata/tako-mcp/tako-search)<a href="https://agentmods.dev/skills/takodata/tako-mcp/tako-search"><img src="https://agentmods.dev/badge/skills/takodata/tako-mcp/tako-search/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/takodata/tako-mcp/tako-search"><img src="https://agentmods.dev/badge/skills/takodata/tako-mcp/tako-search.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00073 | $0.00888 |
| Opus 5.5 | $0.00029 | $0.00355 |
| Sonnet 5.5 | $0.00015 | $0.00178 |
| Haiku 4.5 | $0.00007 | $0.00089 |
Grade A, and why
tako-search 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 today.
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.
1. **If you can run shell commands**, call `tako_contents` with `delivery: "link"`, then download the file right away: `curl -sfL -o <name>.csv "<url>"`. The link expires 5 minutes after the call. Analyze the file in a s How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tako
Tako searches the live web and a knowledge graph of licensed and public data in one call. The graph covers companies, markets, economies, sports, weather, prediction markets, websites, and more, and refreshes much of it during the day. When the graph has the answer, the result leads with a card: a headline value, its source, and a chart. Every search also returns web results. All tools below live on the Tako MCP server (server name tako).
Look something up
- Search first. Call
tako_searchonce per question, naming the entity and what you want: "Apple revenue", "Lakers last game score", "US CPI inflation", "EU AI Act timeline". For a comparison, name both entities in one query: "Nvidia vs AMD gross margin". Run independent searches in parallel. - Query website traffic by domain: "netflix.com monthly visits", not "Netflix website visits".
- If a card comes back, check that it answers the question: the same entity, metric, and unit. For example, operating income isn't operating margin. Read the value from the card's
description. To compute something from the card's rows, such as a growth rate, an average, or a correlation, follow Compute over a series. - If no card answers the question, answer from the web results. To read a page in full, pass its url to
tako_contents. - If a name is ambiguous, such as "Costco" or "Coca-Cola", and the question doesn't settle which entity, ask before quoting a number.
If the user asks for Tako's agent and the tako-agent skill is installed, follow tako-agent instead.
Compute over a series
Compute in code, never in your head: growth rates, averages, CAGR, correlations, and rankings. Report what the code prints. Only a card marked exportable: true has rows to fetch.
- If you can run shell commands, call
tako_contentswithdelivery: "link", then download the file right away:curl -sfL -o <name>.csv "<url>". The link expires 5 minutes after the call. Analyze the file in a script and read only the result, so the rows never enter your context. If the result saystruncated, call again with a highermax_rows, up to 100,000. - If the download fails, your shell may have no network access. Call
tako_contentsagain withoutdelivery, withmax_rowsat 2,000 or less, and pass the inline rows to your code tool. - If you have no shell, or
tako_contentshas nodeliveryinput, fetch the rows inline and pass them to your code tool. With no code tool at all, show each step of the arithmetic so the user can check it. - If
tako_contentshas aformatinput, setformat: "card"for a card's own structure, such as a company card's tabs.
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.
- today Changed · +14 tokens per session 5864ae88d501
- 2d ago First seen · 40 lines · 59 tokens per session scan A f6ec5c203982
tako-search is a skill published in the GitHub repository TakoData/tako-mcp (6 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 888 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 2026-10-24.
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