senpi-ai/senpi-skills

senpi-trading-runtime

>- 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 D…

First seen Apr 1, 2026

Installation

$ npx skills add senpi-ai/senpi-skills --skill senpi-trading-runtime

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Agent compatibility

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Repository health

Stars 119
License LICENSE
Default branch main
Open issues 6
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version4.0.0
LicenseApache-2.0
More metadata
author
Senpi
version
4.0.0
platform
senpi
exchange
hyperliquid

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,181 B
  • docs SUMMARY.md 745 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 129 installs

SKILL.md

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 (signaldataschema) + de-duplicating the signals you return, sizing & order execution (FEEOPTIMIZEDLIMIT), 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.senpimcp.calltool(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 signaldataschema, 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:

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 ([EUNIVERSENOT_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.