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 krakenfx/kraken-cli --skill kraken-playgroundgit clone --depth 1 https://github.com/krakenfx/kraken-cliWrote 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/krakenfx/kraken-cli/kraken-playground)<a href="https://agentmods.dev/skills/krakenfx/kraken-cli/kraken-playground"><img src="https://agentmods.dev/badge/skills/krakenfx/kraken-cli/kraken-playground/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/krakenfx/kraken-cli/kraken-playground"><img src="https://agentmods.dev/badge/skills/krakenfx/kraken-cli/kraken-playground.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 | $0.00031 | $0.02026 |
| Opus 5 | $0.00015 | $0.01013 |
| Sonnet 5 | $0.00006 | $0.00405 |
| Haiku 4.5 | $0.00003 | $0.00203 |
Grade A, and why
kraken-playground 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 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.
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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kraken-playground
A session ties a market recorder and the workspace's paper account to one window. Live prices stream in and get recorded as the session's tape, paper orders fill against those prices on the shared account journal, and every decision is logged, so the window can be replayed and analyzed later. No real order is ever placed inside a paper workspace.
Use this skill for:
- running a paper-trading hypothesis on live prices with no real money
- recording ticker, trade, and book data alongside paper fills and decision reasons
- driving an agent hypothesis over a window at a fixed cadence
- replaying a session and computing P&L after the fact
The One-Command Demo
kraken playground is the fastest way in: it creates (or reuses, never re-funding) a paper workspace named playground with 10,000 USD, prints how to watch it, and starts a recorded, self-stopping demo session:
kraken playground --symbols BTC/USD --for 1h 2>/dev/null &
export KRAKEN_WORKSPACE=playground
Everything it makes is a plain workspace plus a session — the commands below drive it like any other scope.
What a Session Is
A session is a recorded window over the active scope's account journal. One session id (s1, s2, …) binds three things: the recorder (live market data to sessions/s<n>/tape.*), the window markers on the account journal (which trades belong to the session), and the session's decision log (the "why" behind each action). There is no daemon and no shared memory between rounds. State lives on disk, and each round reads what it needs.
The CLI has no scheduler and runs no strategy. It records, fills paper orders, and logs. The agent decides, and something external holds the pace (see Pacing).
Start a Session
Work inside a paper workspace (create one once with kraken workspace create <name> --capital 10000 --mode paper), then:
export KRAKEN_WORKSPACE=<name>
kraken session start \
--symbols BTC/USD --channels ticker,trade --to duckdb,jsonl \
--label my-hypothesis-r1 \
-o json 2>/dev/null &
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 · 143 lines · 31 tokens per session scan A ea383bef6cdf
kraken-playground is a skill published in the GitHub repository krakenfx/kraken-cli (714 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 2,026 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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