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/copyleftdev/kalshi-kernel/kalshi-kernel-setupnpx skills add copyleftdev/kalshi-kernel --skill kalshi-kernel-setupgit clone --depth 1 https://github.com/copyleftdev/kalshi-kernelWhat 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 | $0.00038 | $0.00366 |
| Opus 5 | $0.00019 | $0.00183 |
| Sonnet 5 | $0.00008 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
kalshi-kernel-setup 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 yesterday.
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.
What it actually says
Set up Kalshi Kernel
Kalshi Kernel is unofficial pre-release software. State clearly that version 0.1.0 has no connected market, paper-ledger, portfolio, or live-trading adapter. Do not imply affiliation with Kalshi or readiness for trading.
-
Confirm the user trusts the public repository and has reviewed
DISCLAIMER.md. -
Prefer a signed/checksummed GitHub release binary once releases exist. Until then, build from source with Go 1.25.13+ using
make build. -
Put the resulting
kalshi-kernelexecutable onPATH; never download or run an unverified binary silently. -
Keep
KALSHI_KERNEL_MODE=paper. Do not request API credentials or a private key for the current scaffold. -
Enable the plugin and inspect
/mcp, or add the server directly with:claude mcp add --scope user --transport stdio kalshi-kernel \ --env KALSHI_KERNEL_MODE=paper -- /absolute/path/to/kalshi-kernel -
Call
kernel_status. A correct 0.1.0 setup reports paper mode,backend_ready: false, andmarket_data_ready: false. -
If another tool returns
capability_not_ready, explain that this is expected fail-closed behavior, not a successful market or order operation.
Never ask the user to paste credentials, private keys, account data, or trading history into chat or an issue.
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.
- yesterday First seen · 33 lines · 38 tokens per session scan A bd18f81d0327
kalshi-kernel-setup is a skill published in the GitHub repository copyleftdev/kalshi-kernel (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 38 tokens to every session and 366 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.