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quick

Essays and writing behind this toolkit live at vexjoy.com.

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项目 README

来源文件:README.md

抓取于 2026年8月31日

VexJoy Agent

VexJoy Agent

Essays and writing behind this toolkit live at vexjoy.com.

AI agents skip steps.

"Looks correct" replaces running tests. "Trivial change" replaces verification. The agent confidently ships broken code because nothing structurally prevented it from skipping the work.

Harnesses have a second problem: given only a skill list, they do not route eagerly enough, or correctly enough. Good skills sit unused. So this toolkit connects the skills, agents, and workflows we want directly into the harness, automatically. You don't have to understand what is here. Say what you want in plain English and you get all the value we have put into it: the right specialist with the right methodology, behind gates that demand exit codes, not assertions.

44 domain agents, 122 workflow skills, 78 hooks, 136 scripts. Agents carry knowledge, skills enforce methodology, hooks block incomplete work, scripts handle determinism.

Works across Claude Code (/do), Codex ($do), Factory (/do), Reasonix (/do).

What It Looks Like

$ claude

> /do debug this Go test

  Routing: go-engineer + systematic-debugging
  Phase 1/4: Reproduce: running test, capturing failure...
  Phase 2/4: Hypothesize: 3 candidates from stack trace...
  Phase 3/4: Verify: isolated root cause in connection pool timeout
  Phase 4/4: Fix: patch applied, test passing, PR opened

  ✓ Delivered: PR #847, fix connection pool timeout in health check

The router reads intent, picks a Go agent paired with a debugging skill, and runs the full lifecycle. You typed one sentence. The system did the rest.

The Pipeline

  ROUTE        PLAN         EXECUTE      VERIFY       DELIVER      RECORD
 ┌──────┐    ┌──────┐    ┌──────┐    ┌──────┐    ┌──────┐    ┌──────┐
 │ /do  │───▶│ Task │───▶│Agent │───▶│Tests │───▶│  PR  │───▶│Route │
 │Router│    │ Plan │    │+Skill│    │Gates │    │Branch│    │Result│
 └──────┘    └──────┘    └──────┘    └──────┘    └──────┘    └──────┘

Anti-Rationalization

This is the single thing that separates it from "agent with a system prompt."

Agent SaysWhat Happens
"Code looks correct, skip tests"Exit gate requires test output. Blocked.
"Trivial change, no verification"Hook blocks completion without evidence.
"Similar to before"Skill demands case-specific proof.
"User is in a hurry"Protocol overrides time pressure.
"I'm confident"Gate demands exit code, not assertion.

Hooks fire automatically. Gates block completion. Skills encode counter-arguments at every skip-worthy step. The agent verifies or it doesn't finish.

For what I do, the difference is enormous. If you're doing simple single-file edits, maybe less so.

Knowledge Work Is First-Class

The same routing serves knowledge work. The content engine researches, drafts in a calibrated voice, validates against 397 AI patterns, and repurposes finished pieces for each platform. /html turns any request into a single self-contained HTML file: report, slide deck, prototype, data viz, diagram. Non-engineers who try the toolkit consistently name the HTML artifacts as the thing they love. No code, no setup beyond the installer.

It Proves Its Own Changes

Changes to the toolkit itself ship with evidence. New skills get blind A/B tests against a no-skill baseline before merge. Routing and writing-standard decisions carry measured verdicts; PHILOSOPHY.md cites the numbers. Experiments that lost go into the negative-results registry, what-didnt-work.md; the registry now covers routing reversals, unvalidated A/B citations, and disabled lint rules alongside the original program refutations.

The automated nightly evolution loop (/evolve, writes to evolution-reports/) ran regularly through mid-May 2026. It is currently dormant; recent evidence has come from manual PRs instead.

Installation

git clone https://github.com/notque/vexjoy-agent.git ~/vexjoy-agent
cd ~/vexjoy-agent
./install.sh

Links into ~/.claude/ and mirrors into ~/.codex/, ~/.factory/, ~/.reasonix/ — each mirror only when that runtime is detected (its command on PATH or its home dir already exists). The installer asks symlink (live updates via git pull) or copy (stable snapshot).

Want only part of the toolkit? Run ./install.sh --configure to pick which skills, agents, and hooks install, or copy .local.example/profile.yaml to .local/profile.yaml and edit. No profile file = full install, unchanged behavior. Credit: @thomasvan. Details: .local.example/README.md.

CLIEntry Point
Claude Code/do
Codex$do
Factory/do
Reasonix/do

Full setup: docs/start-here.md

Codex CLI Parity

Mirrors agents, skills, and supported hooks into ~/.codex/. The original six-hook allowlist was correct for Codex v0.114, when tool hooks only intercepted Bash. Current support requires Codex v0.144.1+ and classifies the 74 Claude hook registrations as 26 native, 35 adapter-backed, and 13 unsupported (61 supported). These are registration counts, not unique hook files. The installer also preserves explicit per-subagent model routing for GPT-5.6 Sol by setting the MultiAgent V2 compatibility keys documented in openai/codex#31814.

Codex now exposes apply_patch to tool hooks. VexJoy's adapter converts each patch operation into the Write/Edit payload expected by existing guards, but it cannot intercept writes performed through unified_exec, unmatched MCP tools, WebSearch, or other unsupported tool paths. PreCompact and Stop adapters also receive less telemetry than Claude Code: Codex does not provide Claude's conversation_history or session_data. This is expanded compatibility, not full Claude parity.

After install or any hook-definition change, run /hooks in Codex and review the new definitions before trusting them. Codex hash-trusts hook commands and skips changed, unreviewed definitions.

Gemini CLI / Antigravity CLI Support (removed)

Gemini CLI support removed (deprecated upstream, transitioned to Antigravity CLI); Antigravity support pending CLI maturity. Per Google's transition announcement, Gemini CLI stops serving requests on 2026-06-18 for Google AI Pro / Ultra and free Gemini Code Assist for individuals. Gemini API integrations (image-gen backends, sprite pipeline, GEMINI_API_KEY) are unaffected and stay in the toolkit.

If a prior install mirrored into ~/.gemini/, remove the stale mirrors with:

rm -rf ~/.gemini/skills ~/.gemini/agents ~/.gemini/hooks ~/.gemini/scripts ~/.gemini/antigravity/plugins/vexjoy-agent
Factory CLI Support

Mirrors agents (as "droids"), skills, and all hooks into ~/.factory/. Hook config merges into ~/.factory/settings.json with paths rewritten.

Reasonix Support

Mirrors skills, scripts, and the allowlisted hooks (scripts/reasonix-hooks-allowlist.txt) into ~/.reasonix/ (no agent or custom-command surface, so neither is installed; the /do router rides in as a skill). Reasonix fires only 4 events (PreToolUse, PostToolUse, UserPromptSubmit, Stop), so only hooks for those events are allowlisted. Hook config is written to the hooks key of ~/.reasonix/settings.json in Reasonix's native flat shape (one entry per hook, match regex over the tool name); the generator builds absolute python3 commands, so no path rewrite is applied. MCP/model/permissions in ~/.reasonix/config.json are user-owned and left untouched.

Token-saving mode

The toolkit supplies its own routing, domain knowledge, methodology, and enforcement. The default system prompt duplicates most of that.

claude --system-prompt "."

Strips built-in tool-use instructions. The toolkit's agents, skills, hooks, and CLAUDE.md provide equivalent coverage.

Four Layers

LayerCountDoes
Agents44Domain knowledge: idiom tables, failure mode catalogs, error-to-fix mappings
Skills122Phased methodology with gates. Can't skip steps. Each phase has exit criteria requiring evidence.
Hooks78Fire on lifecycle events. Block incomplete work. Zero LLM cost.
Scripts136Determinism: test runners, linters, validators. No LLM judgment.

Full skill catalog: docs/skills.md.

┌─────────────────────────────────────────────────┐
│  SKILL.md                                       │
│  ┌─ Frontmatter ─────────────────────────────┐  │
│  │ triggers, pairs_with, success-criteria     │  │
│  └────────────────────────────────────────────┘  │
│  Reference Loading Table (conditional imports)   │
│  Phased Instructions (numbered, with gates)      │
│  Verification (evidence requirements)            │
└─────────────────────────────────────────────────┘

Built with the Toolkit

A game built entirely by Claude Code using these agents, skills, and pipelines:

Choose Your Path

I just want to use it Install, learn /do, done.

I do knowledge work Writing, research, data analysis, moderation, HTML artifacts. No code.

I'm a developer Architecture, extension points, adding agents and skills.

I'm an AI power user Routing tables, pipelines, hooks, telemetry DB.

I'm an AI agent Machine-dense inventory. Tables, paths, schemas.

I'm on LinkedIn 🚀 Thought leadership. Agree? 👇

Philosophy

  • Zero-expertise operation. Say what you want. The system classifies, dispatches, enforces, delivers.
  • LLMs orchestrate, programs execute. Deterministic work belongs to scripts. LLM judgment handles design decisions, diagnosis, review.
  • Density. Every word carries instruction, rule, or decision. Cut everything else.
  • Breadth over depth. Right context ensures correctness. Unfocused context adds cost.
  • Structural enforcement. Exit codes enforce what instructions can't. Quality gates are automated, not advisory.
  • Everything pipelines. Complex work decomposes into phases. Phases have gates. Gates prevent cascading failures.

Full design philosophy: PHILOSOPHY.md

Maintenance

One report-only script surfaces upkeep work; it prints a digest and never edits, deletes, or blocks.

  • python3 scripts/stale-skill-scan.py --top 20 ranks stale skills and agents as pruning candidates. Run it quarterly; see docs/deprecation-template.md.

Scheduled work follows the same boundary as everything else: judgment uses agents; repeatable plumbing uses scripts.

NeedUse
Run a deterministic command on a schedulescripts/agent-scheduler.py with runner: "command"
Run an agent judgment on a schedule, webhook, or file changescripts/agent-scheduler.py with the default runner: "claude"
Install or remove a user crontab entry safelyscripts/crontab-manager.py
Audit shell cron reliabilitycron-automation
Keep one interactive objective moving until criteria verifyobjective-loop

Contributing

See CONTRIBUTING.md.

License

MIT. See LICENSE.

研究与检索

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 未检测到明显外部权限要求。
  • 未检测到高风险命令。
  • 扫描发现:2 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/process/quick" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/process/quick" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/process/quick" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/process/quick" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/process/quick" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: quick
description: "Tracked lightweight execution with composable rigor flags: --trivial, --discuss, --research, --full. Covers zero-ceremony inline fixes (typo, spelling fix, small mistake in a single file, ≤3 edits) through contained multi-file changes."
user-invocable: true
argument-hint: "[--trivial] [--discuss] [--research] [--full] <task>"
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Grep
  - Glob
  - Skill
  - Task
routing:
  force_route: true
  triggers:
    - quick task
    - small change
    - ad hoc task
    - add a flag
    - small refactor
    - targeted fix
    - quick fix
    - typo fix
    - fix typo
    - fix the typo
    - one-line change
    - trivial fix
    - rename variable
    - rename this variable
    - update value
    - fix import
    - small mistake
    - small mistake in
    - mistake in spelling
    - spelling mistake
    - spelling fix
    - fix the spelling
    - typo in
    - small fix in
    - small fix
    - tiny fix
  not_for: "'quick' as speed preference, general bug diagnosis requiring investigation"
  complexity: Simple
  category: process

/quick - Tracked Lightweight Execution

Quick covers the full lightweight tier from zero-ceremony inline fixes (≤3 edits, --trivial mode) through contained multi-file changes. Full-ceremony Simple+ tasks (task_plan.md, agent routing, quality gates) belong in /do. The key design principle is composable rigor: the base mode is minimal (plan + execute), and users add process incrementally via flags.

Flags (all OFF by default):

FlagEffect
--trivialZero-ceremony inline mode for ≤3 file edits: no plan display, no branch, direct commit. Scope-gates strictly — escalates automatically if the task needs more than 3 edits. Use for typo fixes, one-line constant changes, renaming a variable, fixing an import.
--discussAdd a pre-planning discussion phase to resolve ambiguities (breadth-first — surfaces all gray areas at once)
--interviewAdd a depth-first decision-tree interview before the edit phase. One question at a time with a recommendation per question. Sibling to --discuss — pick --interview when decisions are interdependent and answer A constrains valid options for B.
--researchAdd a research phase before planning to build context on unfamiliar code
--fullAdd plan verification + full quality gates (tests, lint, diff review)
--no-branchSkip feature branch creation, work on current branch
--no-commitSkip the commit step (for batching multiple quick tasks)

Reference Loading Table

SignalLoad These FilesWhy
usage examples, task ID format, error handlingexamples.mdLoads detailed guidance from examples.md.
emitting banners, commit format, or STATE.md entriestemplates.mdLoads detailed guidance from templates.md.

Instructions

Phase --trivial: INLINE EXECUTION (only with --trivial flag)

When --trivial is passed (or the router recognises a clearly one-line mechanical change), execute inline without plan display, without a feature branch, and without spawning subagents — because the overhead of those steps dwarfs the actual work.

Step 1: Read CLAUDE.md

Read repository CLAUDE.md before any edit, because repo-specific constraints affect how even trivial changes should be made.

Step 2: Scope check

QuestionIf Yes
Does this need reading docs, investigating behavior, or understanding unfamiliar code?Drop --trivial, redirect to /quick --research
Does this touch more than 3 files?Drop --trivial, redirect to standard /quick
Does this add imports from new packages or modify dependency files?Drop --trivial, redirect to standard /quick
Is the request ambiguous or underspecified?Ask one clarifying question; if still ambiguous after one round, drop --trivial and use /quick --discuss

If redirecting, say: This task exceeds --trivial scope ([reason]). Continuing as /quick. Then proceed to Phase 0 with the original request.

Step 3: Locate target files and execute

Read the target file(s). Make edits using the Edit tool. Track edit count. After each edit, check: have we hit 3 edits? If more are needed, stop -- do not rationalize "just one more edit." Say: "Scope exceeded during --trivial execution (3+ edits needed). Preserving work done. Continuing as /quick." Hand off to the standard quick phases with context about what was already done.

Step 4: Check branch

If on main/master, create a short-lived branch: git checkout -b quick/<brief-description>.

Step 5: Stage and commit

Stage specific files with git add <specific-files>. Commit using the format from references/templates.md (conventional commit, type usually fix:, chore:, or refactor:).

Step 6: Display summary

Use the --trivial summary banner format from references/templates.md.

GATE: Edit count is 1-3, commit succeeded. STOP — do not proceed to Phase 0.


Phase 0: SETUP

Step 1: Read CLAUDE.md

Read and follow the repository's CLAUDE.md before doing anything else, because repo-specific conventions override defaults and skipping this causes style/tooling mismatches.

Step 2: Parse flags

Extract --discuss, --interview, --research, --full, --no-branch, and --no-commit from the invocation. Everything remaining after flag extraction is the task description.

Step 3: Scope check

If the task involves multiple components, architectural changes, or needs parallel execution, redirect to /do instead because quick tasks are single-threaded by design -- parallelism means the task has outgrown this tier.

Phase 1: DISCUSS (only with --discuss flag)

This phase activates when the user passes --discuss or the request contains signals of uncertainty ("not sure", "maybe", "could be", "what do you think").

Step 1: Identify ambiguities

Read the request and list specific questions:

  • What exactly should change? (if underspecified)
  • Which approach among alternatives? (if multiple valid paths)
  • What are the acceptance criteria? (if success is unclear)

Step 2: Present questions

Use the DISCUSS banner format from references/templates.md. Wait for user response. Do not proceed until ambiguities are resolved.

GATE: All ambiguities resolved. Proceed to Phase 2 or Phase 3.

Phase 1.5: INTERVIEW (only with --interview flag)

This phase activates when the user passes --interview. It is the depth-first sibling to --discuss — pick this mode when decisions are interdependent and answering A would change the valid options for B, so batch-asking forces premature commitments.

Step 1: Load the depth-first reference

Load planning/references/depth-first-interview.md and follow its phases (PRIME → ENUMERATE BRANCHES → TRAVERSE → COMPILE OUTPUT). The reference enforces a hard cap of 5 total questions and 3-level recursion per branch — these limits are infrastructure, not advisory.

Step 2: Treat --interview as an explicit trigger

Per the reference's Phase 0 trigger classification, /quick --interview is an explicit invocation. Skip the Phase 0 opt-out question — the user already opted in by passing the flag. Go directly to ENUMERATE BRANCHES.

Step 3: Compile output to inline context

The reference's Phase 3 emits a structured block (Resolved Decisions / Carried Forward / Scope Boundary / Mode Used). Keep this block inline as the discussion artifact and use it to inform Phase 3 PLAN. Do not write a separate task_plan.md for /quick tier.

GATE: Interview output emitted. Resolved decisions inform the inline plan. Proceed to Phase 2 or Phase 3.

Phase 2: RESEARCH (only with --research flag)

This phase activates when the user passes --research or the task touches code that needs investigation. Use --research when touching unfamiliar code because confidence about code behavior is not the same as correctness — --trivial exists for when you truly know.

Step 1: Identify scope

Determine which files and patterns need reading to understand the change.

Step 2: Read and analyze

Read relevant source files, tests, and configuration. Build a mental model of:

  • Current behavior
  • Where the change fits
  • What might break

Step 3: Summarize findings

Present a brief (3-5 line) summary of what you learned and how it affects the plan.

GATE: Sufficient understanding to plan the change. Proceed to Phase 3.

Phase 3: PLAN

Step 1: Generate task ID

Assign the task ID now, not later, because untracked tasks become invisible and "later" never comes.

Format: YYMMDD-xxx where xxx is Base36 sequential (0-9, a-z).

# Check STATE.md for today's tasks to determine next sequence
date_prefix=$(date +%y%m%d)

If STATE.md exists in the repo root, find the highest sequence number for today's date prefix and increment. If no tasks today, start at 001. Use Base36 for the sequence: 001, 002, ... 009, 00a, 00b, ... 00z, 010, ...

If STATE.md is corrupted, scan git log for Quick task YYMMDD- patterns to find the true next ID. If a branch name collision occurs, increment the sequence number and try again.

Step 2: Create inline plan

Always display the inline plan, even for obvious tasks, because the plan catches misunderstandings before they become wrong edits and confirms alignment in 10 seconds that saves minutes. Use the inline plan banner instead of writing a task_plan.md file; that keeps the workflow in the Simple+ tier and preserves the minimum viable ceremony.

Use the inline plan banner format from references/templates.md.

If estimated edits exceed 15, prompt the user to consider /do -- edit count is a scope signal regardless of difficulty.

If the task involves security, payments, or data migration, recommend --full because a one-line auth change can be catastrophic and risk is about impact, not size.

Step 3: Create feature branch (unless --no-branch)

Create a feature branch because small changes on main break the same as big ones:

git checkout -b quick/<task-id>-<brief-kebab-description>

If already on a non-main feature branch and --no-branch is set, stay on the current branch.

GATE: Task ID assigned, plan displayed, branch created. Proceed to Phase 4.

Phase 4: EXECUTE

Step 1: Make edits

Execute the changes described in the plan. Track edit count throughout.

Step 2: Scope monitoring

  • At 10 edits: display a warning -- "10 edits reached. Quick tasks typically stay under 15."
  • At 15 edits: suggest upgrade -- "15 edits reached. This may benefit from /do with full planning. Continue? [Y/n]"
  • No hard cap -- the user decides. Quick's scope is advisory, not enforced like Fast's 3-edit gate.

Step 3: Verify changes (base mode)

Run a language-appropriate syntax check on edited files (e.g., python3 -m py_compile, go build ./..., tsc --noEmit). If --full flag is set, run the full quality gate instead (see Phase 5).

GATE: All planned edits complete. Sanity check passes.

Phase 5: VERIFY (only with --full flag)

Step 1: Run tests for affected packages/modules only -- do not run the full suite unless explicitly requested.

Step 2: Lint check using the repo's configured linter on changed files.

Step 3: Review changes with git diff. Check for unintended changes, missing error handling, and broken imports.

GATE: Tests pass, lint clean, diff reviewed. Proceed to Phase 6.

Phase 6: COMMIT (skip with --no-commit)

Stage specific files with git add <specific-files> -- not git add ., to avoid accidental inclusions. Commit using the format from references/templates.md. Include the task ID in the commit body for traceability.

GATE: Commit succeeded. Verify with git log -1 --oneline.

Phase 7: LOG

Step 1: Update STATE.md

Log the task to STATE.md because this is how tasks stay visible and cross-referenceable. Use the STATE.md schema from references/templates.md to create the file if it does not exist, and append one row per task. If escalated from --trivial, use tier trivial->quick.

Step 2: Display summary

Use the completion banner format from references/templates.md.

Reference Material

See references/examples.md for worked examples per flag mode, task ID format, and error handling.

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