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Arcticdb Timeseries

作者 Tang Weigang · GitHub ↗ · v0.3.3 · MIT-0
cross-platform ⚠ suspicious
118
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0
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当前安装
4
版本数
在 OpenClaw 中安装
/install arcticdb-timeseries
功能描述
管理大规模时序数据存储与查询,支持十亿行级数据高效聚合,提供 DataFrame 懒加载与批量拼接,兼容 AWS S3 等多种存储后端。。
使用说明 (SKILL.md)

ArcticDB 时序存储 (arcticdb-timeseries)

管理大规模时序数据存储与查询,支持十亿行级数据高效聚合,提供 DataFrame 懒加载与批量拼接,兼容 AWS S3 等多种存储后端。

Pipeline

data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization

Top Use Cases (17 total)

AWS S3 Configuration for Public Blockchain Data Access (UC-101)

Setting up AWS credentials to enable secure access to public blockchain data stored in S3, allowing integration with ArcticDB for time-series storage Triggers: aws, s3, credentials

Billion Row Challenge - Large Scale Data Performance (UC-102)

Demonstrates ArcticDB's ability to handle massive datasets (1 billion rows of temperature data) with efficient aggregation, serving as a performance b Triggers: billion rows, large scale, performance

Batch DataFrame Concatenation with Lazy Loading (UC-103)

Demonstrates efficient concatenation of multiple DataFrames stored in ArcticDB using lazy loading to minimize memory consumption during batch operatio Triggers: concat, batch, lazy

For all 17 use cases, see references/USE_CASES.md.

Execute trigger: When user intent matches intent_router.uc_entries[].positive_terms AND user uses action verb (run/execute/跑/执行/backtest/fetch/collect)

What I'll Ask You

  • Target market: A-share (default), HK, or crypto? (US stocks in ZVT are half-baked — stockus_nasdaq_AAPL exists but coverage is thin)
  • Data source / provider: eastmoney (free, no account), joinquant (account+paid), baostock (free, good history), akshare, or qmt (broker)?
  • Strategy type: MACD golden-cross, MA crossover, volume breakout, fundamental screen, or custom factor?
  • Time range: start_timestamp and end_timestamp for backtest period
  • Target entity IDs: specific stocks (stock_sh_600000) or index components (SZ1000)?

Semantic Locks (Fatal)

ID Rule On Violation
SL-01 Execute sell orders before buy orders in every trading cycle halt
SL-02 Trading signals MUST use next-bar execution (no look-ahead) halt
SL-03 Entity IDs MUST follow format entity_type_exchange_code halt
SL-04 DataFrame index MUST be MultiIndex (entity_id, timestamp) halt
SL-05 TradingSignal MUST have EXACTLY ONE of: position_pct, order_money, order_amount halt
SL-06 filter_result column semantics: True=BUY, False=SELL, None/NaN=NO ACTION halt
SL-07 Transformer MUST run BEFORE Accumulator in factor pipeline halt
SL-08 MACD parameters locked: fast=12, slow=26, signal=9 halt

Full lock definitions: references/LOCKS.md

Top Anti-Patterns (14 total)

  • AP-DATA-SOURCING-001: Missing or invalid User-Agent headers for SEC API requests
  • AP-DATA-SOURCING-002: Ignoring external API rate limits causing IP blocking
  • AP-DATA-SOURCING-003: No HTTP timeout configuration causing indefinite hangs

All 14 anti-patterns: references/ANTI_PATTERNS.md

Evidence Quality Notice

[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-103. Evidence verify ratio = 79.0% and audit fail total = 19. Generated results may have uncaptured requirement gaps. Verify critical decisions against source files (LATEST.yaml / LATEST.jsonl).

Reference Files

File Contents When to Load
references/seed.yaml V6+ 全量权威 (source-of-truth) 有行为/决策争议时必读
references/ANTI_PATTERNS.md 14 条跨项目反模式 开始实现前
references/WISDOM.md 跨项目精华借鉴 架构决策时
references/CONSTRAINTS.md domain + fatal 约束 规则冲突时
references/USE_CASES.md 全量 KUC-* 业务场景 需要完整示例时
references/LOCKS.md SL-* + preconditions + hints 生成回测/交易代码前
references/COMPONENTS.md AST 组件地图(按 module 拆分) 查 API 时

Compiled by Doramagic crystal-compilation-v6.1 from finance-bp-103 blueprint at 2026-04-22T13:00:48.376963+00:00. See human_summary.md for non-technical overview.

安全使用建议
This skill appears to be a fairly complete ArcticDB / ZVT workflow document, but the package metadata omits important runtime requirements. Before installing or enabling it: (1) ask the publisher for an explicit install spec and a list of required environment variables (especially any AWS_* creds and ZVT_HOME) and for the LICENSE file referenced; (2) do not provide AWS credentials or other secrets until you confirm why they are needed and whether they can be scoped (read-only, limited S3 prefixes, least privilege IAM role); (3) if you plan to run the skill in an agent that can execute commands, run it in a sandbox or VM first — the SKILL.md instructs the agent to run local Python checks that will read/write ~/.zvt and may attempt network calls; (4) request that the author declare required binaries (python3.12, zvt, uv) and preconditions in the registry metadata to match the SKILL.md; (5) if you cannot verify the origin (source is 'unknown' and homepage is missing), prefer not to grant credentials and prefer manual review. Providing the authored install spec, a short changelog, and an explicit list of env vars would raise confidence and could change the assessment to benign.
功能分析
Type: OpenClaw Skill Name: arcticdb-timeseries Version: 0.3.3 The skill bundle provides a highly structured framework for managing ArcticDB time-series data and financial trading strategies using the ZVT library. It contains extensive documentation on safety constraints, anti-patterns, and semantic locks (e.g., SL-01 for trade ordering and SHARED-DS-RL-003 for credential security) specifically designed to prevent common vulnerabilities like API rate-limiting, data corruption, and credential exposure. No evidence of malicious intent, prompt injection for harmful purposes, or unauthorized data exfiltration was found across the files, including SKILL.md and seed.yaml.
能力标签
cryptorequires-sensitive-credentials
能力评估
Purpose & Capability
SKILL.md describes an ArcticDB timeseries integration (S3 backends, DataFrame lazy loading, billion-row use cases) which legitimately may need Python, zvt, and AWS credentials; however the registry metadata lists no required binaries, no required env vars, no install spec. That mismatch (claimed runtime requirements vs declared requirements) is incoherent and should be clarified.
Instruction Scope
The instructions direct the agent to run precondition Python checks (import zvt, run zvt.recorders, check/write ~/.zvt), to read environment variables (ZVT_HOME) and to set up AWS/S3 credentials for specific use cases. Those actions access local environment, filesystem, and credentials but none of those accesses are declared in requires.env or required config paths. The SKILL.md also instructs the agent to reload seed.yaml and to cite internal AP/CW/SHARED IDs — broad operational directives beyond a simple query helper.
Install Mechanism
This is instruction-only (no install spec), which limits disk-write risk. However the SKILL.md states 'Requires Python 3.12+ with uv package manager' yet provides no install instructions. The lack of an explicit, reproducible install or verification step is an omission that reduces transparency.
Credentials
Registry shows no required environment variables or credentials, but the skill text explicitly references AWS S3 credential setup and reads/creates ZVT home directory files (checks/writes ~/.zvt). The skill asks for and expects access to credentials and local config at runtime without declaring them — disproportionate and unclear.
Persistence & Privilege
always:false and no install means it does not request forced global persistence. It does, however, instruct frequent re-reads of seed.yaml and a reload-on-decision execution protocol (in seed.yaml) which increases its runtime footprint; this is notable but not a direct privileged flag under platform rules.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install arcticdb-timeseries
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /arcticdb-timeseries 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.3.3
v0.3.3: bilingual metadata injected. H1 shows ArcticDB 时序存储; tagline replaced with skill-specific Chinese hook; tags upgraded to Level 1-4.
v0.3.1
Remove install.sh — knowledge-only bundle. Host AI consumes directly from URL; no user-side installation needed. Fixes ClawHub suspicious flag.
v0.3.0
Doramagic crystal portfolio v0.3.0. Full 5-layer bp-009 standard. github.com/tangweigang-jpg/doramagic-skills
v0.2.0
Doramagic crystal portfolio v0.2.0. Full 5-layer bp-009 standard. github.com/tangweigang-jpg/doramagic-skills
元数据
Slug arcticdb-timeseries
版本 0.3.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 4
常见问题

Arcticdb Timeseries 是什么?

管理大规模时序数据存储与查询,支持十亿行级数据高效聚合,提供 DataFrame 懒加载与批量拼接,兼容 AWS S3 等多种存储后端。。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 118 次。

如何安装 Arcticdb Timeseries?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install arcticdb-timeseries」即可一键安装,无需额外配置。

Arcticdb Timeseries 是免费的吗?

是的,Arcticdb Timeseries 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Arcticdb Timeseries 支持哪些平台?

Arcticdb Timeseries 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Arcticdb Timeseries?

由 Tang Weigang(@tangweigang-jpg)开发并维护,当前版本 v0.3.3。

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