Senpi-ai
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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
概要
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).
説明全文を読む
ソース文書であり、このサイトへの操作指示ではありません。コマンド実行前に権限を確認してください。
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 alist[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.yamldeclares the scanner(s), the action gate, the exit engine, and the risk guard-rails, and passes author tunables down viainputs:. →references/runtime-yaml.mdscan(inputs, ctx)is the single entry point.inputsis the runtime'sinputs:map;ctxgives 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 eachdata{}against the runtime.yaml'ssignal_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.
ファイルのメタデータ
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
元のテキストを表示
---
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`.
ソースを確認
価格と実行コスト
- Skill の入手
- 価格未確認
- 実行
- 実行要件は未確認です。Agent・API・サービス料金を提供元で確認してください。
- ライセンス
- Apache-2.0
- 価格未確認
- 価格は未確認です。既存のソースとインストールリンクは利用できます。
無料で入手できても実行が無料とは限りません。価格は安全評価ではありません。 価格情報を送る →
スキルのソースを記録済み
手順のパスを記録しています。実行テスト、安全保証、互換性認証ではありません。
インストール前にレビュー: 自動インストールを避ける
ライセンス: 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
ツール一覧はメタデータであり、互換性のテスト結果ではありません。プロンプトは提案です。
小さなタスクから始める
- 1ソースを読み、入力、出力、依存関係、権限を確認します。
- 2Agent に計画を求め、設定と費用を承認してから隔離環境でテストします。
- 3出力と変更ファイルを確認し、実行した結果だけを報告します。再現用にソースの版を保存します。
依存関係、API キー、外部サービスの料金をソースで確認してください。公開リポジトリでも全サービスが無料とは限りません。
出典と利用上の注意
登録済み
メタデータと審査情報は参考です。人気、ソースの発見、実行成功は別の事実です。
- ソースリポジトリ
- Senpi-ai/senpi-skills
- ライセンス
- Apache-2.0
- バージョン
- 1.0.0
- 最終 GitHub プッシュ
- 2026年9月4日
- 登録情報の更新日
- 2026年10月9日
登録されたバージョンです。ソースのリリース情報を確認してください。
品質
65/100
有望
信頼
66/100
サンドボックス限定
監査
76/100
高リスク
- 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
- Verified installs
- —
- 成果
- —
コピーはインストールではありません。件数は成功報告に基づき、品質全体を保証しません。
Agent 接続
Registry API 経由で判断、信頼、監査、ユースケース、インストールのシグナルを提供し、UI をスクレイピングせずに Agent が順位付けできます。
詳細情報
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"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).",
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"version": "trust-score-v4",
"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"
}
}クリエイター向け
掲載元
Registry により登録
この掲載は公開ソースから登録されており、メンテナー申請が承認されるまで公式として表示されません。
- 作成者
- Senpi-ai
- インデックス作成者
- OpenAgentSkill コミュニティインデックス
帰属は公開リポジトリまたは作成者プロフィールにリンクされています。作成者は掲載を申請して所有権シグナルを更新できます。
このスキルを申請所有者の申請
このスキル掲載を申請
この Registry により登録 掲載は Senpi-ai に帰属していますが、まだ公式として表示されていません。申請すると、確認済み所有者シグナルが追加され、今後の公開、インストール、監査更新の信頼性が高まります。
共有キット
クリエイター被リンクキット
README にエビデンスバッジを追加
開発者がリポジトリを評価する場所で、正規掲載、現在の信頼・監査シグナル、実際の Agent-Proven エビデンスを表示します。
[](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime/audit)
[](https://www.openagentskill.com/skills/senpi-ai-senpi-trading-runtime?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)コミュニティシグナル
このスキルが Agent ワークフローに役立つかを共有してください。集約されたフィードバックがランキングを改善します。