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: forensics
description: "Post-mortem diagnostic analysis of failed workflows."
user-invocable: false
command: /forensics
allowed-tools:
- Read
- Grep
- Glob
routing:
triggers:
- forensics
- what went wrong
- why did this fail
- stuck loop
- diagnose workflow
- post-mortem
- workflow failure
- session crashed
- why is this stuck
- investigate failure
- "why did this break"
- "incident review"
pairs_with:
- workflow
- planning
complexity: Medium
category: processInvestigate failed or stuck workflows through post-mortem analysis of git history, plan files, and session artifacts. Forensics answers "what went wrong and why" -- it detects workflow-level failures that individual tool errors don't reveal.
Key distinction: A tool error is "ruff found 3 lint errors." A workflow failure is "the agent entered a fix/retry loop editing the same file 5 times and never progressed." The harness surfaces tool-level errors. Forensics handles workflow-level patterns.
| Task | Load |
|---|---|
| Collecting git evidence, running git log commands, scrubbing credentials | references/evidence-collection.md |
| Identifying failure type from symptoms, causal chain analysis | references/failure-signatures.md |
| Running any of the 5 anomaly detectors, scoring confidence | references/detectors.md |
| Signal | Load These Files | Why |
|---|---|---|
| Phase 2 DETECT: running the 5 anomaly detectors | detectors.md | Loads detailed guidance from detectors.md. |
| Phase 1 GATHER: git extraction, loop queries, credential scrubbing | evidence-collection.md | Loads detailed guidance from evidence-collection.md. |
| matching observed symptoms to the 5 failure types | failure-signatures.md | Loads detailed guidance from failure-signatures.md. |
This is a read-only diagnostic. The tool restriction to Read/Grep/Glob enforces this at the platform level. A diagnostic tool that modifies state destroys the evidence it needs to analyze -- forensics examines, it does not fix. Even when the user asks you to fix what you find, complete the report and recommend remediation instead. The wrong fix applied automatically can destroy work.
Goal: Collect the raw evidence needed for anomaly detection. Determine what branch, plan, and time range to analyze.
Step 1: Identify the investigation target
Accept the target from one of these sources (in priority order):
task_plan.mdBefore analysis, read the repository's CLAUDE.md if present. Repository conventions inform what "normal" looks like (e.g., expected branch patterns, required artifacts).
Step 2: Locate the plan file
Search for the plan that governed the workflow:
task_plan.md in the repository root.feature/state/plan/ for feature plansplan/active/ for workflow-orchestrator plansRecord whether a plan exists. If no plan is found, note this -- it limits scope drift and abandoned work detection but does not block the investigation. Three of the five detectors (stuck loop, crash/interruption, and degraded abandoned work) still function without a plan, so never skip analysis because no plan file was found.
Step 3: Collect git history
Read the git log for the target branch. Extract:
Use Grep to search git log output for patterns. Focus on:
If the branch has hundreds of commits, focus on the most recent 50 and note the truncation in the final report.
Step 4: Check working tree state
Examine the current state:
.claude/worktrees/ directories?task_plan.md with incomplete phases?See
references/evidence-collection.mdfor concrete git commands for each evidence type: log extraction, loop detection queries, timestamp analysis, and credential scrubbing patterns.
GATE: Evidence collected. At minimum: git history available, branch identified. Proceed to DETECT only when evidence gathering is complete.
Goal: Run all 5 anomaly detectors against the collected evidence. Always run every detector -- anomalies are often correlated (a stuck loop causes missing artifacts causes abandoned work), so partial analysis misses the causal chain. Each detector produces zero or more findings, and every finding must include a confidence level (High/Medium/Low) because false positives erode trust.
See
references/detectors.mdfor full detector specifications: confidence scoring tables, false positive guidance, and per-detector skip conditions when no plan file exists. Seereferences/failure-signatures.mdfor observable patterns per failure type, detection commands, and causal chain analysis when multiple detectors fire.
Run detectors 1-5 in order: Stuck Loop, Missing Artifacts, Abandoned Work, Scope Drift, Crash/Interruption.
GATE: All 5 detectors have run. Each produced zero or more findings with confidence levels. Proceed to REPORT.
Goal: Compile findings into a structured diagnostic report with root cause hypothesis and remediation recommendations. Every claim in the report must trace to specific evidence -- a forensics report without evidence is an opinion piece, not a diagnostic.
Step 1: Scrub sensitive content
Before assembling the report, scan all evidence strings for:
sk-, ghp_, token=, password=, secret=, key=, bearer tokens, base64-encoded credentials)Replace sensitive values with [REDACTED] and home paths with ~/. Treat all credential-shaped strings as real -- you cannot determine whether a credential is live from its format alone. Reports may be shared or logged, so a leaked credential in a forensics report is worse than the original workflow failure. Redact paths in every report regardless of audience; it costs nothing and prevents future exposure.
Step 2: Compile anomaly table
Order findings by confidence (High first, then by detector number) so the reader gets the strongest signals first:
## Forensics Report: [branch name or session identifier]
### Anomalies Detected
| # | Type | Confidence | Description |
|---|------|------------|-------------|
| 1 | [type] | [High/Medium/Low] | [description with evidence] |
| 2 | [type] | [High/Medium/Low] | [description with evidence] |
If no anomalies detected:
### Anomalies Detected
No anomalies detected. The workflow appears to have executed normally.
Step 3: Synthesize root cause hypothesis
Connect the anomalies into a coherent narrative. Look for causal chains:
The hypothesis must be specific, testable, and grounded in evidence from the anomaly findings -- never speculate beyond what the data supports:
Step 4: Recommend remediation
Provide specific, actionable recommendations. Each recommendation should reference the anomaly it addresses. Remediation is advisory text only -- never execute fixes, even if the user asks. Remediation requires understanding intent, not just detecting anomalies.
| Anomaly Type | Typical Remediation |
|---|---|
| Stuck loop | Identify the root cause of the loop (often a lint/type error the agent can't resolve). Fix manually, then resume from the last successful phase. |
| Missing artifacts | Re-run the phase that failed to produce artifacts. Check if the phase definition is clear enough for the executor. |
| Abandoned work | Resume from the last completed phase. Check .debug-session.md or plan status for where to pick up. |
| Scope drift | Review out-of-scope changes for necessity. Revert unrelated changes. Re-scope the plan if the drift was needed. |
| Crash/interruption | Check for uncommitted changes worth preserving. Clean up orphaned worktrees. Resume from last committed state. |
Step 5: Format final report
Include relevant git log excerpts, file snippets, and timestamps as evidence for every anomaly. Show git hashes, timestamps, and file paths rather than making unsupported assertions.
================================================================
FORENSICS REPORT: [branch/session identifier]
================================================================
Scan completed: [timestamp]
Branch: [branch name]
Commits analyzed: [count]
Plan file: [path or "not found"]
================================================================
ANOMALIES
================================================================
| # | Type | Confidence | Description |
|---|------|------------|-------------|
| ... | ... | ... | ... |
================================================================
ROOT CAUSE HYPOTHESIS
================================================================
[Narrative connecting anomalies into causal explanation]
================================================================
RECOMMENDED REMEDIATION
================================================================
1. [Specific action referencing anomaly #N]
2. [Specific action referencing anomaly #N]
================================================================
EVIDENCE
================================================================
[Relevant git log excerpts, file snippets, timestamps]
[All paths redacted, credentials scrubbed]
================================================================
GATE: Report is complete, scrubbed, and formatted. Deliver to user.
| Error | Cause | Solution |
|---|---|---|
| No git history on branch | Branch has zero commits or just forked | Report "insufficient evidence" -- forensics needs commit history to analyze |
| No plan file found | Workflow ran without a plan | Note limitation in report. Detectors 2 (missing artifacts), 3 (abandoned work), and 4 (scope drift) operate in degraded mode or skip. Detectors 1 (stuck loop) and 5 (crash) still function. |
| Worktree access fails | Orphaned worktree with broken symlinks | Report the orphaned worktree as crash/interruption evidence. Do not attempt cleanup. |
| Git log too large | Long-lived branch with hundreds of commits | Focus analysis on the most recent 50 commits. Note truncation in report. |
| Ambiguous branch target | User request doesn't clearly identify which branch | Ask: "Which branch should I investigate? Current branch is [X]." |
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