Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
弹道计算工具 for 弹弓/弓箭/气枪。根据初速、角度、高度等参数计算弹道轨迹和落点,支持能量计算、仰角求解、轨迹预测。 --- name: ballistics description: 弹道计算工具 for 弹弓/弓箭/气枪。根据初速、角度、高度等参数计算弹道轨迹和落点,支持能量计算、仰角求解、轨迹预测。 homepage: https://github.com/openclaw/skills/tree/main/skills/ballistics author: 阿牛 version: 1.1.0 tags: [弹弓, 弹道, 物理, 计算, 弓箭, 气枪] --- 弹道计算技能 (Ballistics Calculator) 专业弹道计算工具,支持多种射击场景的参数计算。 🏹 应用场景 - **弹弓发射** - 计算最佳射击角度和落点 - **弓箭抛射** - 远程射击角度修正 - **气枪计算** - 弹道下坠补偿 - **玩具枪弹道** - 抛物线轨迹预测 📐 支持的计算类型 | 类型 | 功能 | 示例 | |------|--- Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Freshness
Last checked 2/24/2026
Best For
ballistics is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
弹道计算工具 for 弹弓/弓箭/气枪。根据初速、角度、高度等参数计算弹道轨迹和落点,支持能量计算、仰角求解、轨迹预测。 --- name: ballistics description: 弹道计算工具 for 弹弓/弓箭/气枪。根据初速、角度、高度等参数计算弹道轨迹和落点,支持能量计算、仰角求解、轨迹预测。 homepage: https://github.com/openclaw/skills/tree/main/skills/ballistics author: 阿牛 version: 1.1.0 tags: [弹弓, 弹道, 物理, 计算, 弓箭, 气枪] --- 弹道计算技能 (Ballistics Calculator) 专业弹道计算工具,支持多种射击场景的参数计算。 🏹 应用场景 - **弹弓发射** - 计算最佳射击角度和落点 - **弓箭抛射** - 远程射击角度修正 - **气枪计算** - 弹道下坠补偿 - **玩具枪弹道** - 抛物线轨迹预测 📐 支持的计算类型 | 类型 | 功能 | 示例 | |------|---
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 24, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 24, 2026
Vendor
Openclaw
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/chenguang123654/OpenClaw-Skills.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Openclaw
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
text
重力加速度: g = 9.81 m/s² 水平距离: x = v₀ × cos(θ) × t 垂直高度: y = v₀ × sin(θ) × t - ½gt² 飞行时间: t = 2 × v₀ × sin(θ) / g 最大高度: h = v₀² × sin²(θ) / (2g) 抛物线近似射程: R ≈ v₀² × sin(2θ) / g
text
"初速50米/秒,角度45度,计算落点" "速度80,距离20米,求射击角度" "从10米高度以30度发射,初速60米/秒" "8mm钢珠,18股皮筋,能量多少"
text
钢珠直径 → 计算质量和体积 皮筋股数 → 估算弹性势能 输出: 焦耳、m/s、g.mm/s
text
输出每0.1秒的位置点 格式: 时间(s) | 水平距离(m) | 垂直高度(m) 可生成: JSON / 表格 / 图表数据
json
{
"flight_time": 1.44,
"max_height": 31.25,
"distance": 50.62,
"energy": 4.5,
"trajectory": [
{"t": 0.0, "x": 0.00, "y": 0.00},
{"t": 0.1, "x": 3.54, "y": 4.90},
{"t": 0.2, "x": 7.07, "y": 9.41}
]
}bash
pip3 install math # Python标准库,无需安装
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
弹道计算工具 for 弹弓/弓箭/气枪。根据初速、角度、高度等参数计算弹道轨迹和落点,支持能量计算、仰角求解、轨迹预测。 --- name: ballistics description: 弹道计算工具 for 弹弓/弓箭/气枪。根据初速、角度、高度等参数计算弹道轨迹和落点,支持能量计算、仰角求解、轨迹预测。 homepage: https://github.com/openclaw/skills/tree/main/skills/ballistics author: 阿牛 version: 1.1.0 tags: [弹弓, 弹道, 物理, 计算, 弓箭, 气枪] --- 弹道计算技能 (Ballistics Calculator) 专业弹道计算工具,支持多种射击场景的参数计算。 🏹 应用场景 - **弹弓发射** - 计算最佳射击角度和落点 - **弓箭抛射** - 远程射击角度修正 - **气枪计算** - 弹道下坠补偿 - **玩具枪弹道** - 抛物线轨迹预测 📐 支持的计算类型 | 类型 | 功能 | 示例 | |------|---
专业弹道计算工具,支持多种射击场景的参数计算。
| 类型 | 功能 | 示例 | |------|------|------| | 基本弹道 | 已知初速+角度→计算落点 | "初速50m/s,角度45度" | | 仰角求解 | 已知初速+距离→求射击角度 | "初速60m/s,打20米要多少角度" | | 高程修正 | 有高度差→弹道修正 | "从5米高打10米外的目标" | | 能量计算 | 皮筋参数→弹丸能量 | "8mm钢珠,18股皮筋" | | 完整轨迹 | 生成完整弹道数据表 | "输出完整弹道表" |
重力加速度: g = 9.81 m/s²
水平距离: x = v₀ × cos(θ) × t
垂直高度: y = v₀ × sin(θ) × t - ½gt²
飞行时间: t = 2 × v₀ × sin(θ) / g
最大高度: h = v₀² × sin²(θ) / (2g)
抛物线近似射程: R ≈ v₀² × sin(2θ) / g
直接告诉我参数,支持多种表达方式:
"初速50米/秒,角度45度,计算落点"
"速度80,距离20米,求射击角度"
"从10米高度以30度发射,初速60米/秒"
"8mm钢珠,18股皮筋,能量多少"
钢珠直径 → 计算质量和体积
皮筋股数 → 估算弹性势能
输出: 焦耳、m/s、g.mm/s
输出每0.1秒的位置点
格式: 时间(s) | 水平距离(m) | 垂直高度(m)
可生成: JSON / 表格 / 图表数据
{
"flight_time": 1.44,
"max_height": 31.25,
"distance": 50.62,
"energy": 4.5,
"trajectory": [
{"t": 0.0, "x": 0.00, "y": 0.00},
{"t": 0.1, "x": 3.54, "y": 4.90},
{"t": 0.2, "x": 7.07, "y": 9.41}
]
}
pip3 install math # Python标准库,无需安装
# 基本弹道
python3 ballistics.py basic 50 45 0
# 仰角计算
python3 ballistics.py angle 60 20 0 0
# 高程修正
python3 ballistics.py basic 50 30 5
MIT License
阿牛 (OpenClaw AI Assistant)
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/snapshot"
curl -s "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/contract"
curl -s "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T02:36:08.461Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Openclaw",
"href": "https://github.com/openclaw/skills/tree/main/skills/ballistics",
"sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/ballistics",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:44:39.895Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:44:39.895Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/chenguang123654-openclaw-skills/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to ballistics and adjacent AI workflows.