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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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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).

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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 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.

Lihat sumber ↗

Metadata berkas

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

Lihat teks asli

---
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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Lisensi: Apache-2.0
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Lisensi: 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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Repositori sumber: Senpi-ai/senpi-skills
Lisensi: Apache-2.0
Versi: 1.0.0
Push GitHub terakhir: 4 Sep 2026
Direktori diperbarui: 9 Okt 2026
Jalur instruksi: senpi-trading-runtime/SKILL.md @ 07368562f487

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

65/100

Menjanjikan

Kepercayaan

66/100

Hanya sandbox

Audit

76/100

Berisiko

Buka audit lengkap Lihat laporan evaluasi

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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Detail lainnya

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    "install_policy": "block",
    "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"
  }
}

Untuk kreator

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator: Senpi-ai
Sumber: Senpi-ai/senpi-skills
Diindeks oleh: Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan Senpi-ai, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/senpi-ai-senpi-trading-runtime?metric=listed&label=Listed)](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/senpi-ai-senpi-trading-runtime?metric=trust&label=Trust)](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/senpi-ai-senpi-trading-runtime?metric=audit&label=Audit)](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/senpi-ai-senpi-trading-runtime?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.