vision

REVIEW · 70
Registry indexed

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.

Verified installs0
Stars282
Version1.0.0
Quality71/100 · Strong
Trust70/100 · Sandbox only
Audit82/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add kunchenguid/vision --skill vision

Maintenance

fresh

Pushed today

Risk

Safe to try

Quality score needs review

GitHub quality

282

71/100 Quality · 78/100 Trust

Coverage tags

CodingGitHub automationcoding-agentsagent-skill

Review notes

Quality score needs review · Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
71

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
70

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
82

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

282 GitHub stars

Repo activity

282 stars, 11 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add kunchenguid/vision --skill vision

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add kunchenguid/vision --skill vision
Policy
review
Human review
yes

Trust and risk

Trust
70/100
Audit
82/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add kunchenguid/vision --skill vision

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
  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Agent safety v2

54/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

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-vision

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

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 handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use vision for this task. Review https://www.openagentskill.com/api/skills/kunchenguid-vision/install, then install with: npx skills add kunchenguid/vision --skill vision

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

70/100

GitHub automation

Platforms

Claude Code

Audit report

Safe to try · 82/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

70
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 71/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

70
OpenAgentSkill Trust Score

GitHub adoption

INFO

282 GitHub stars

Stars/forks activity

CHECK

282 stars, 11 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • Stars/forks activity: 282 stars, 11 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

71
GitHub stars
282
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- 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

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 23, 2026
Published
Aug 23, 2026

Decision snapshot

Fallback candidate

70
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

82
Safe to try
Security
83/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for vision, ready for a manual X post.

Curator note
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
Open X draft
Optional reply with install command
Listing + install path for vision:
https://www.openagentskill.com/skills/kunchenguid-vision?ref=x

Install: npx skills add kunchenguid/vision --skill vision

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to kunchenguid but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/kunchenguid-vision?metric=listed&label=Listed)](https://www.openagentskill.com/skills/kunchenguid-vision)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/kunchenguid-vision?metric=trust&label=Trust)](https://www.openagentskill.com/skills/kunchenguid-vision)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/kunchenguid-vision?metric=audit&label=Audit)](https://www.openagentskill.com/skills/kunchenguid-vision/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/kunchenguid-vision?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/kunchenguid-vision)

Author

K

kunchenguid

@kunchenguid

Platform fit

Health signals

GitHub stars
282
Quality score
40/100
Last GitHub push
Aug 23, 2026
Framework hints
Unknown
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

70
  • GitHub adoption282 GitHub starsINFO
  • Stars/forks activity282 stars, 11 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO