How a Senpi trading strategy interacts with the runtime engine (@senpi-ai/runtime) on Hyperliquid: a strategy runs from a runtime.yaml pointing at a Python module that exports scan(inputs, ctx), which the runtime supervises and calls each interval, then owns execution, risk guard_rails, and two-phase DSL trailing-stop exits. Use when working with runtime.yaml, the scan(inputs, ctx) contract, external_scanner, ctx, or the DSL exit engine — including verifying open positions are protected by DS...
Scanned 9/7/2026
Install to Claude Code
npx -y skills add jiayaoqijia/cryptoskill --skill senpi-ai-senpi-trading-runtime --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Senpi Ai Senpi Trading Runtime?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/jiayaoqijia-senpi-ai-senpi-trading-runtime)More formats (shields.io, HTML) on the badges page.
---
name: senpi-trading-runtime
description: >-
How a Senpi trading strategy interacts with the runtime engine (@senpi-ai/runtime)
on Hyperliquid: a strategy runs from a runtime.yaml pointing at a Python module that
exports scan(inputs, ctx), which the runtime supervises and calls each interval, then
owns execution, risk guard_rails, and two-phase DSL trailing-stop exits. Use when
working with runtime.yaml, the scan(inputs, ctx) contract, external_scanner, ctx, or
the DSL exit engine — including verifying open positions are protected by DSL (have a
working stop-loss). The shared runtime contract the lifecycle skills reference. NOT
for building, installing, or picking a strategy (→ senpi-strategy-author /
senpi-strategy-ops / senpi-strategy-discover).
license: Apache-2.0
metadata:
author: Senpi
version: "4.0.0"
platform: senpi
exchange: hyperliquid
---
# Senpi Trading Runtime — the runtime contract
This skill is **infrastructure**: the canonical knowledge of how the Senpi runtime
(**`@senpi-ai/runtime`**) behaves and how a strategy interacts with it. The lifecycle skills —
author (build), ops (install/monitor), discover (recommend) — reference this one for the contract.
## The runtime model
A strategy runs from a **`runtime.yaml`** that points at an in-repo Python module. The runtime **spawns and
supervises** that module and calls a frozen **`scan(inputs, ctx)`** every `interval_seconds`. The
division of labor is fixed:
- **Your code produces signals — nothing else.** `scan(inputs, ctx)` *reads* market and account data
and *returns* a `list[dict]` of candidate signals. It does not open, close, size, schedule, or
execute anything.
- **The runtime owns everything downstream:** scheduling (`interval_seconds`), spawning +
supervising + restarting the scanner, validating (`signal_data_schema`) + de-duplicating the
signals you return, **sizing & order execution** (`FEE_OPTIMIZED_LIMIT`), slot accounting,
`risk.guard_rails`, the two-phase **DSL** trailing-stop exits, and **crash-safe position reconcile**
on restart.
## How your code talks to the runtime
The interaction surface is small and one-directional — you read, you return signals, the runtime acts.
- **`runtime.yaml`** declares the scanner(s), the action gate, the exit engine, and the risk
guard-rails, and passes author tunables down via `inputs:`. → `references/runtime-yaml.md`
- **`scan(inputs, ctx)`** is the single entry point. `inputs` is the runtime's `inputs:` map; `ctx`
gives you:
- **`ctx.senpi_mcp.call_tool(name, args)`** — the Senpi MCP client, **read-only** (market,
account, leaderboard, discovery, `strategy_get*`, …). It is the only way to fetch data.
- **`ctx.state`** — transactional, runtime-persisted history (`last()` / `append()` / `len`) for
dedup, rotation, and first-seen ledgers; advances only on a clean tick.
- **`ctx.wallet`** — the strategy's wallet address.
- → `references/scan-contract.md`
- **The return value** is a `list[dict]`, one per candidate signal (`asset`, `direction`,
`marginPct`, `leverage`, `data{}`). The runtime validates each `data{}` against the runtime.yaml's
`signal_data_schema`, then sizes, executes, and manages exits.
Keep the thesis logic in a sibling pure **`scoring.py`** (no I/O, no MCP) so it is unit-testable;
`scan.py` does the reads + state, `scoring.py` does the math.
## Runtime commands (essentials)
The plugin registers a `senpi` command group on the gateway. Deploying a strategy and checking it:
```bash
openclaw plugins install @senpi-ai/runtime
openclaw senpi validate <dir-with-runtime.yaml> # THE GATE, pre-money: one real tick, no wallet; a PASS records the proof deploy requires
openclaw senpi deploy -p <package-dir> --budget <usd> # ONE verb, detached: funds preflight → wallet create+fund → install → one observed tick
openclaw senpi deploy status # poll until terminal; the verified report (read-only)
openclaw senpi runtime list # id, source, status ("running — NO ENTRY SCANNERS" = scanners never wired)
```
**Deploy a package through `senpi-strategy-ops`' `deploy.py create <id> --budget <usd>`**, which
resolves the package, runs the structural preflight and drives that same verb. The verb owns the
gates — the live-universe check (`[E_UNIVERSE_NOT_LIVE]`, pre-money), the funds preflight, the
`skillName`/`skillVersion` attribution and the verified tick. **`runtime create` is internal**: it
installs a runtime and skips every one of those, so it is not the deploy path.
**`senpi validate` is the gate every deploy runs through** — it loads the scanners and runs one
real tick with no wallet and no funding, and a full unscoped PASS at live depth is what writes the
`.senpi-proof.json` `senpi deploy` refuses to fund a package without. Run it before `deploy`, once per
instance, pointed at the directory holding that instance's `runtime.yaml`.
Beyond `validate`, `deploy`/`deploy status` and `runtime list/delete`, the CLI exposes the runtime's live state — `senpi dsl
positions|inspect|closes` (the exit engine), `senpi action list|inspect|history|decisions` (the
decision layer), `senpi risk` (am I allowed to trade, and why not), `senpi audit` (backend trade
trail with AI reasoning), `senpi scanner` (per-scanner health, liveness, and a `(no signals yet)` flag for scanners that run but produce nothing),
`senpi events`/`senpi explain <asset>` (the local domain-event log — the trade narrative, and one
asset's stitched lifecycle), `senpi status`/`senpi state` (health — fail-closed: an external scanner
never proven by a tick reads `unknown`, not `healthy`; non-healthy scanners get their own line with
restart count and cause), and `senpi guide …` (in-shell reference). Full surface with every option →
`references/runtime-cli.md`.
**To confirm open positions are actually stop-loss protected** (a position with no DSL shows up as an
*absence* in `dsl positions`, so it's easy to miss) → the verdict procedure in
`references/dsl-protection-check.md`.
## The reference set
| Read this | For |
|---|---|
| `references/runtime-concepts.md` | How the runtime behaves end to end: the runtime pipeline, `position_tracker`, and the two-phase DSL exit engine |
| `references/runtime-yaml.md` | The `runtime.yaml` schema — every section, the `external_scanner` fields, the risk guard-rails |
| `references/scan-contract.md` | The author contract in depth: `scan(inputs, ctx)`, the `ctx` surface, the signal shape, and `scoring.py` |
| `references/runtime-cli.md` | The full `openclaw senpi …` command surface — **validate** (the pre-deploy gate: flags, depths, exit codes, the proof it records), deploy, runtime, dsl, action, status/state, skills, guide |
| `references/dsl-protection-check.md` | **Verify open positions are DSL-protected** — the PROTECTED / UNPROTECTED / STOP-NOT-ON-VENUE verdict + the open-vs-tracked reconciliation |
## Package naming (load-bearing)
The runtime package is **`@senpi-ai/runtime`** (with `-ai`) — the one users install on their hosts.
Always write it with the `-ai`.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!