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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 modu

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Precio sin confirmar★ 119 Estrellas de GitHubRegistro actualizado · 9 oct 2026agent-skill

Resumen

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).

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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:

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 thisFor
references/runtime-concepts.mdHow the runtime behaves end to end: the runtime pipeline, position_tracker, and the two-phase DSL exit engine
references/runtime-yaml.mdThe runtime.yaml schema — every section, the external_scanner fields, the risk guard-rails
references/scan-contract.mdThe author contract in depth: scan(inputs, ctx), the ctx surface, the signal shape, and scoring.py
references/runtime-cli.mdThe 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.mdVerify 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.

Ver fuente ↗
Metadatos del archivo
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
Ver texto original
---
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`.

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Licencia: Apache-2.0

  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
  • Financial research output is not financial advice; require human review before any live investment decision.
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 119 stars, 35 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
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Repositorio fuente
Senpi-ai/senpi-skills
Licencia
Apache-2.0
Versión
1.0.0
Último push de GitHub
4 sept 2026
Registro actualizado
9 oct 2026
Ruta de instrucciones
senpi-trading-runtime/SKILL.md @ 07368562f487

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

65/100

Prometedor

Confianza

66/100

Solo sandbox

Auditoría

76/100

Riesgoso

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  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
  • Financial research output is not financial advice; require human review before any live investment decision.
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 119 stars, 35 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access
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    "evidence": {
      "stars": "119 GitHub stars",
      "repoActivity": "119 stars, 35 forks",
      "lastPushed": "1mo since push",
      "license": "Apache-2.0",
      "repository": "https://github.com/Senpi-ai/senpi-skills/tree/main/senpi-trading-runtime",
      "install": "npx skills add Senpi-ai/senpi-skills --skill senpi-trading-runtime",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "shell or command execution, filesystem or document access",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "automation",
      "agent-skill"
    ],
    "known_risks": [
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "Quality score needs review",
      "Permission surface needs review: shell or command execution, filesystem or document access",
      "Stars/forks activity: 119 stars, 35 forks; issue activity unavailable in current metadata",
      "Permission surface: shell or command execution, filesystem or document access"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 76,
    "risk_level": "risky",
    "risk_label": "Risky",
    "warnings": [
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "Quality score needs review",
      "Permission surface needs review: shell or command execution, filesystem or document access",
      "Stars/forks activity: 119 stars, 35 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 65,
    "label": "Promising"
  },
  "supply": {
    "track": "Legal, policy, and compliance",
    "scenario": "Security and compliance",
    "maintenance": "1mo since push",
    "risk": "Risky"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "Audit risk risky exceeds max_risk=medium",
    "High-risk permission hints: Shell or command execution",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"
  ],
  "agent_contract": {
    "task_input": "Use senpi-trading-runtime in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 74/100 Strong shortlist",
      "Audit: 76/100 Risky",
      "Safety: 44/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "senpi-ai-senpi-trading-runtime (senpi-trading-runtime)",
      "install_command": "npx skills add Senpi-ai/senpi-skills --skill senpi-trading-runtime",
      "risk_summary": "Risky; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "senpi-ai-senpi-trading-runtime",
      "task": "Use senpi-trading-runtime in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime",
    "api": "https://www.openagentskill.com/api/agent/skills/senpi-ai-senpi-trading-runtime",
    "audit": "https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=senpi-ai-senpi-trading-runtime&task=Use%20senpi-trading-runtime%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20senpi-trading-runtime%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20senpi-trading-runtime%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/senpi-ai-senpi-trading-runtime/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/senpi-ai-senpi-trading-runtime"
  }
}

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