复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
Essays and writing behind this toolkit live at vexjoy.com.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
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).
$ 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.
ROUTE PLAN EXECUTE VERIFY DELIVER RECORD
┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐
│ /do │───▶│ Task │───▶│Agent │───▶│Tests │───▶│ PR │───▶│Route │
│Router│ │ Plan │ │+Skill│ │Gates │ │Branch│ │Result│
└──────┘ └──────┘ └──────┘ └──────┘ └──────┘ └──────┘
This is the single thing that separates it from "agent with a system prompt."
| Agent Says | What 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.
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.
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.
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.
| CLI | Entry Point |
|---|---|
| Claude Code | /do |
| Codex | $do |
| Factory | /do |
| Reasonix | /do |
Full setup: docs/start-here.md
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 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
Mirrors agents (as "droids"), skills, and all hooks into ~/.factory/. Hook config merges into ~/.factory/settings.json with paths rewritten.
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.
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.
| Layer | Count | Does |
|---|---|---|
| Agents | 44 | Domain knowledge: idiom tables, failure mode catalogs, error-to-fix mappings |
| Skills | 122 | Phased methodology with gates. Can't skip steps. Each phase has exit criteria requiring evidence. |
| Hooks | 78 | Fire on lifecycle events. Block incomplete work. Zero LLM cost. |
| Scripts | 136 | Determinism: 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) │
└─────────────────────────────────────────────────┘
A game built entirely by Claude Code using these agents, skills, and pipelines:
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? 👇
Full design philosophy: PHILOSOPHY.md
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.
| Need | Use |
|---|---|
| Run a deterministic command on a schedule | scripts/agent-scheduler.py with runner: "command" |
| Run an agent judgment on a schedule, webhook, or file change | scripts/agent-scheduler.py with the default runner: "claude" |
| Install or remove a user crontab entry safely | scripts/crontab-manager.py |
| Audit shell cron reliability | cron-automation |
| Keep one interactive objective moving until criteria verify | objective-loop |
See CONTRIBUTING.md.
MIT. See LICENSE.
name: reddit-moderate
description: "Reddit moderation via PRAW: fetch modqueue, classify reports, take actions."
user-invocable: false
argument-hint: "[--auto] [--dry-run]"
agent: python-general-engineer
allowed-tools:
- Bash
- Read
routing:
triggers:
- "moderate Reddit"
- "modqueue"
- "Reddit reports"
- "Reddit moderation"
- "check reports"
category: process
pairs_with:
- content-calendarOn-demand Reddit community moderation powered by PRAW. Fetches your modqueue, classifies content against subreddit rules and author history using LLM-powered report classification, and executes mod actions you confirm.
| Mode | Invocation | Behavior |
|---|---|---|
| Interactive | /reddit-moderate | Fetch queue, classify, present with analysis, you confirm actions |
| Auto | /loop 10m /reddit-moderate --auto | Fetch queue, classify, auto-action high-confidence items, flag rest |
| Dry-run | /reddit-moderate --dry-run | Fetch queue, classify, show recommendations without acting |
| Signal | Load These Files | Why |
|---|---|---|
| Classifying items, category definitions, confidence thresholds | classification-prompt.md | Routes to the matching deep reference |
| Prompt template, untrusted content handling, prompt injection defense | classification-prompt.md | Routes to the matching deep reference |
| Action mapping by confidence level, config.json format | classification-prompt.md | Routes to the matching deep reference |
| Per-item classification steps, repeat offender check, mass-report detection | classification-prompt.md | Routes to the matching deep reference |
| Script subcommands, flags, usage examples | script-commands.md | Routes to the matching deep reference |
| Exit codes, error troubleshooting | script-commands.md | Routes to the matching deep reference |
| Scan commands, setup commands, queue/report commands | script-commands.md | Routes to the matching deep reference |
| Subreddit data directory structure, file purposes | context-loading.md | Routes to the matching deep reference |
| Setup flow for new subreddits, bootstrapping | context-loading.md | Routes to the matching deep reference |
| Credentials, prerequisites, dry-run default | context-loading.md | Routes to the matching deep reference |
| Context loading sequence, missing file handling | context-loading.md | Routes to the matching deep reference |
Phase 1: FETCH -- Get the modqueue with classification prompts.
python3 skills/content/reddit-moderate/scripts/reddit-mod.py queue --json --limit 25 | python3 skills/content/reddit-moderate/scripts/reddit-mod.py classify
This pipes modqueue items through the classify subcommand, which loads subreddit
context from reddit-data/{subreddit}/ and assembles a classification prompt for
each item. The output is a JSON array where each result contains item metadata,
heuristic flags (mass_report_flag, repeat_offender_count), and a prompt
field with the fully rendered classification prompt.
The classify subcommand is a prompt assembler only; it does not call any LLM.
Fields classification, confidence, and reasoning are null/empty placeholders
for the LLM to fill in Phase 2.
Read the output. For each item, read the prompt field and classify it.
Phase 2: CLASSIFY -- For each item, read the rendered classification prompt
and assign a classification. The prompt contains all subreddit context, rules,
author history, and report signals. Classify as one of: FALSE_REPORT,
VALID_REPORT, MASS_REPORT_ABUSE, SPAM, BAN_RECOMMENDED, NEEDS_HUMAN_REVIEW.
Assign a confidence score (0-100) and one-sentence reasoning for each item.
Load
references/classification-prompt.mdfor category definitions, the full prompt template, per-item classification steps, and confidence thresholds.
Phase 3: PRESENT -- For each modqueue item, present a summary grouped by classification. Include the classification label and confidence:
Item 1: [t3_abc123] "Post title here"
Author: u/username (score: 5, reports: 2)
Report reasons: "spam", "off-topic"
Body: [first 200 chars of content]
Classification: VALID_REPORT (confidence: 92%)
Reasoning: Author history shows 5 promotional posts in 7 days with no
community engagement. Violates subreddit rules against self-promotion.
Recommendation: REMOVE (reason: Rule 3)
Item 2: [t1_def456] "Comment text here"
Author: u/other_user (score: 12, reports: 1)
Report reason: "rude"
Classification: FALSE_REPORT (confidence: 88%)
Reasoning: Sarcastic but within community norms. Report appears frivolous.
Recommendation: APPROVE
Phase 4: CONFIRM -- Ask the user to confirm or override recommendations. Wait for user input. Wait for explicit user confirmation before proceeding.
Phase 5: ACT -- Execute confirmed actions:
python3 skills/content/reddit-moderate/scripts/reddit-mod.py approve --id t1_def456
python3 skills/content/reddit-moderate/scripts/reddit-mod.py remove --id t3_abc123 --reason "Rule 3: Self-promotion"
Report results after each action.
Load
references/script-commands.mdfor all subcommand flags and examples.
When invoked with --auto argument or when the user says "auto mode":
Fetch queue and build classification prompts:
python3 skills/content/reddit-moderate/scripts/reddit-mod.py queue --auto --since-minutes 15 --json | python3 skills/content/reddit-moderate/scripts/reddit-mod.py classify
For each item, read the rendered prompt field and classify it using
the categories and confidence scoring from references/classification-prompt.md.
For items meeting the confidence threshold:
FALSE_REPORT / MASS_REPORT_ABUSE => approveSPAM => remove as spamVALID_REPORT => remove with generated reasonBAN_RECOMMENDED => always skip (requires human review regardless of confidence)For items below the confidence threshold => skip (leave for human review).
Output a summary of actions taken, items skipped, and classifications.
Critical auto-mode rules:
Scan recent posts/comments for rule violations that were not reported:
python3 skills/content/reddit-moderate/scripts/reddit-mod.py scan --json --classify --limit 50 --since-hours 24
With --classify, the scan output includes classification prompts. Read each
prompt and classify the item. Items with scan_flags (job_ad_pattern,
training_vendor_pattern, possible_non_english) have heuristic signals that
supplement the LLM classification.
Same confidence thresholds and safety rules as auto mode apply.
Load these references when the task matches the signal:
| Signal / Task | Reference File |
|---|---|
| Classifying items, category definitions, confidence thresholds | references/classification-prompt.md |
| Prompt template, untrusted content handling, prompt injection defense | references/classification-prompt.md |
| Action mapping by confidence level, config.json format | references/classification-prompt.md |
| Per-item classification steps, repeat offender check, mass-report detection | references/classification-prompt.md |
| Script subcommands, flags, usage examples | references/script-commands.md |
| Exit codes, error troubleshooting | references/script-commands.md |
| Scan commands, setup commands, queue/report commands | references/script-commands.md |
| Subreddit data directory structure, file purposes | references/context-loading.md |
| Setup flow for new subreddits, bootstrapping | references/context-loading.md |
| Credentials, prerequisites, dry-run default | references/context-loading.md |
| Context loading sequence, missing file handling | references/context-loading.md |
This skill uses these shared patterns:
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