vision
Draft and stress-test a VISION.md for a repository, then iterate with the author on an interactive review board until approved. Use on /vision or when asked to create or refine a project vision.
供给资产档案
编程与开发 Agent
代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。
场景
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add kunchenguid/vision --skill vision
维护状态
新鲜
今天有推送
风险
可安全尝试
Quality score needs review
GitHub 质量
282
71/100 质量 · 78/100 信任
覆盖标签
审查说明
Quality score needs review · Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
强可靠的选择,值得加入生产工作流候选列表。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
可安全尝试对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
282 个 GitHub Stars
仓库活跃度
282 个 Star,11 个 Fork
维护状态
今天有推送
许可证
MIT
安装
npx skills add kunchenguid/vision --skill vision
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- Quality score needs review
- Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- GitHub automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Inspect repository metadata
适用 Agent
安装决策
- 命令
- npx skills add kunchenguid/vision --skill vision
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 70/100
- 审计
- 82/100
- 风险级别
- 可安全尝试
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- 没有内部安全审查的高合规环境
- 当前元数据中未发现重大风险信号
- 高风险权限提示:Shell 或命令执行
- Quality score needs review
替代 Skill
Code Review
168.6K Stars
npx skills add mattpocock/skills --skill code-review
替代 Skill
Grill With Docs
164.7K Stars
npx skills add mattpocock/skills --skill grill-with-docs
替代 Skill
To Spec
164.7K Stars
npx skills add mattpocock/skills --skill to-spec
替代 Skill
To Tickets
176.7K Stars
npx skills add mattpocock/skills --skill to-tickets
Agent 安全 v2
54/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- 高风险权限提示:Shell 或命令执行
- Quality score needs review
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install kunchenguid-visionAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/kunchenguid-vision/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use vision in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20vision%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kunchenguid-vision/install
Install command: npx skills add kunchenguid/vision --skill vision
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/kunchenguid-vision/install
LLM 文本格式
/api/skills/kunchenguid-vision/install?format=text
寻找替代方案
/api/skills/search?q=vision&limit=3
Agent 提示词
Use vision for this task. Review https://www.openagentskill.com/api/skills/kunchenguid-vision/install, then install with: npx skills add kunchenguid/vision --skill visionRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for GitHub automation
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
GitHub automation
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- GitHub automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 71/100 质量档案
- 1 个 OpenAgentSkill 交互事件
先审查
- 当前元数据中未发现重大风险信号
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次GitHub automation任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
信息282 个 GitHub Stars
Star/Fork 活跃度
检查282 个 Star,11 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过今天有推送
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Quality score needs review
- Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
强 适用于 Agent 工作流的候选
可靠的选择,值得加入生产工作流候选列表。
工作流匹配
在这些场景使用此 Skill
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
概览
--- name: vision description: > Draft and stress-test a VISION.md for a repository, then iterate with the author on an interactive review board until approved. Use on /vision or when asked to create or refine a project vision. user-invocable: true metadata: short-description: "Evidence-mined, stress-tested VISION.md for any repo" ---
# /vision
You are running the **vision** skill. Produce a VISION.md the author can approve: an acceptance policy for the project's future, grounded in what they actually build, and sharpened by hypotheticals they answer on an interactive review board.
This is not a writing exercise. Follow this file top to bottom.
## Host requirement
You need read access to the target repository and its real history:
- Prefer merged-PR history via a GitHub-class CLI (gh, gh-axi). - If PRs are not accessible, fall back to git commit history on the default branch (git log): titles and messages still reveal what the author builds. - Only if no real history is readable at all, **stop** and say so. Never fabricate the author's values, PR titles, or evidence. A vision built on invented evidence is worse than no vision.
The review loop runs on lavish-axi, executed directly through `npx -y lavish-axi` - no install requirement. Simply try to launch it, and report a blocker only if the launch itself fails.
## Hard rules
1. **Evidence over vibes.** Every principle in the draft must be traceable to concrete evidence: named PRs or commits, files, docs, or the author's recorded answers. Generic engineering virtues ("we value quality") are banned unless the history demonstrates them specifically. 2. **Check for an existing VISION.md first.** If one exists on the default branch, switch to delta mode: treat it as the approved baseline, propose line-level candidate changes from evidence newer than it, and never write a competing document. 3. **The author owns the vision.** You draft, stress-test, and fold in their verdicts; you never approve, never soften a hypothetical to please, and never fold in a principle they did not state or demonstrate. 4. **A vision is an acceptance policy.** Write testable accept/resist criteria in declarative present tense, with explicit non-goals, so a future reader, human or agent, can apply them to a concrete change. 5. **No softball hypotheticals.** Each one must sit on a genuine fault line where yes and no are both defensible, with both sides steelmanned. If you can predict the author's answer, replace the hypothetical. 6. **The review loop runs on lavish-axi, from the shipped template.** Draft and hypotheticals are presented as one board built from `assets/review-template.html` + `assets/review.css`, used as-is: black ink on white paper set like literature, full draft always fully visible, one hypothetical at a time in a card stack. Fill the template's slots; never restyle or restructure it, and never substitute another review surface. 7. **Iterate in batches, trace every edit.** Each author verdict maps to a named edit in a changelog; the author must be able to see exactly how their answer changed the text. 8. **Formatting.** One sentence per line. Plain hyphens, never em dashes. No roadmap, no feature list, no marketing voice.
## Pipeline
### Step 0 - Parse target and author
- Target repo: current working directory by default, or an explicit owner/repo. - Author: the person whose vision this is; default to the repo owner. Their merged work is the evidence base. - Ask one short question if the target or author is genuinely ambiguous.
### Step 1 - Learn the pattern
A VISION.md has a stable anatomy; hold the draft to it:
- Identity opener: "X exists so that ...", who it serves, and "It owns exactly one thing: ...". - 3-6 principle sections with short declarative headings, each a set of testable present-tense commitments and refusals. - Explicit non-goals, named concretely ("it is not a CI system, not a ..."). - A closing pair of tests: "A change aligns when ..." and "A change should be resisted when ...", concrete enough to apply to a real PR. - Voice: declarative, present tense, zero marketing; length 40-70 lines.
If the author names exemplar visions, read them; note shape, voice, length.
### Step 2 - Existing-vision check
- If the default branch has a VISION.md: delta mode (hard rule 2). Diff its age against the history and propose only evidence-backed candidate additions or edits, each independently acceptable. - If not: from-scratch mode.
### Step 3 - Mine the evidence
- Repo analysis: README identity claims, architecture, stated non-goals, refusal paths, test discipline. - History mining: list the author's merged PRs, aim for 30-100 titles, and read 8-15 full bodies spread across the range (for example `gh pr list --author <owner> --state merged --limit 100`, or the gh-axi equivalent). If PRs are inaccessible, walk default-branch commit history instead (`git log --author=<owner>`), reading messages for the same signal. - Extract recurring revealed values: what gets built, what gets refused, what class of bug gets fixed at the root, what the author writes in intent statements. - Produce a private evidence sheet: value -> supporting PRs, commits, or files. This sheet is the source of truth for every drafted line.
### Step 4 - Draft
- Follow the step 1 anatomy and the output template below. - Every line must map to the evidence sheet. Length target: 40-70 lines. - Delta mode instead yields: baseline unchanged + a numbered list of candidate line additions/edits, each with its evidence.
### Step 5 - Design the hypotheticals
- 8-12 concrete change proposals per vision, aimed at the draft's fault lines. Draw from this taxonomy: - tempting-but-off-mission features the author will plausibly be asked for; - principle collisions (simplicity vs capability, safety vs speed, generality vs focus, cost vs quality); - slippery slopes, where one reasonable step normalizes the next; - scope expansions (new users, new content types, new hosts, teams); - identity questions the draft leaves open. - Format per hypothetical: id, title, the concrete proposal (2-4 sentences), the principle it tests (quote the draft), and why the answer is non-obvious (steelman both sides). - Quality gate: delete and replace any hypothetical whose answer you can predict.
### Step 6 - Review loop (lavish-axi, from the shipped template)
- Copy `assets/review-template.html` and `assets/review.css` next to each other, then fill only the template's marked slots: project name, run note, the full DRAFT markdown, and the CARDS array (id, title, proposal, tested principle, both-sides steelman per card). - Change nothing else: the template already carries the house structure - full draft on the left, one card at a time on the right, the steelman in full view, one queued verdict per card - so no boilerplate is rewritten and no run is restyled. - Launch with `npx -y lavish-axi <board.html>`, report the URL, then wait on `npx -y lavish-axi poll <board.html>`; answers arrive as queued verdicts. - On each batch: record the verdicts verbatim in a durable answers file, distill the principles they reveal, fold every verdict into the draft, update the board in place (new draft text, remaining cards), and reply through `poll --agent-reply` with a changelog line per verdict ("H-7 no -> authority section now opens with ..."). - Continue until the author approves or ends the session. Do not approve on their behalf; do not treat silence as approval.
### Step 7 - Finish
- Deliver: the approved VISION.md text (or approved delta), the full hypothetical set with recorded verdicts and reasoning, and the changelog. - The answers file is durable calibration material; tell the author to keep it next to the vision.
## Output template (from-scratch mode)
# Vision
`{project}` exists so that {the one-sentence reason the project exists}. It serves {the named user}, and it {what it turns their input into}. It owns exactly one thing: {the single owned surface}.
## {Principle section, 3-6 of these}
{Declarative, testable, present-tense lines; one sentence per line.} {Explicit boundaries: what is welcome, what is refused, and why.}
## Scope
{What this project is not, named concretely.} {Where personal/private material stays, if applicable.} {How the repo holds itself to its own standard, if applicable.}
A change aligns when {testable positive criteria}. A change should be resisted when {testable negative criteria}.
## Pre-flight checklist (before drafting)
- [ ] Target repo and author resolved - [ ] Existing VISION.md checked (mode chosen) - [ ] Evidence sheet built from real PRs or commits (no invented evidence)
## Pre-approval checklist (before the author signs off)
- [ ] Every drafted line traces to the evidence sheet or a recorded verdict - [ ] 8-12 hypotheticals, none predictable, both sides steelmanned - [ ] Every author verdict folded in with a traced changelog line - [ ] Answers file saved next to the vision
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月23日
- 发布时间
- 2026年8月23日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 vision 准备的场景化草稿,可手动发布到 X。
vision: Draft and stress-test a VISION.md for a repository, then iterate with the author on an intera... 282 stars https://www.openagentskill.com/skills/kunchenguid-vision?ref=x
可选:带安装命令的回复
Listing + install path for vision: https://www.openagentskill.com/skills/kunchenguid-vision?ref=x Install: npx skills add kunchenguid/vision --skill vision
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- kunchenguid
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 kunchenguid,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/kunchenguid-vision)
[](https://www.openagentskill.com/skills/kunchenguid-vision)
[](https://www.openagentskill.com/skills/kunchenguid-vision/audit)
[](https://www.openagentskill.com/skills/kunchenguid-vision)作者
kunchenguid
@kunchenguid
平台适配
健康信号
- GitHub Stars
- 282
- 质量评分
- 40/100
- 最近 GitHub 推送
- 2026年8月23日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 1
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度282 个 GitHub Stars信息
- Star/Fork 活跃度282 个 Star,11 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护今天有推送通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险命令执行范围信息
相关 Skill
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsGrill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
164.7K StarsTo Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
164.7K StarsTo Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
176.7K Stars