Plain-language operating pack for preventing empty-shell AI automation with agents, plugins, skills, validation, and recovery.
git clone https://github.com/loved0543-dotcom/no-shell-agent-operating-pack && cp no-shell-agent-operating-pack/*.md ~/.claude/agents/Subagents overview
# No-Shell Agent Operating Pack
An open-source operating pack for people who already use AI agents but keep getting "empty-shell automation": files, buttons, or dashboards that look finished but do not actually run a real workflow.
This is not a prompt-pack that promises magic. It is a plain-language operating system for delegating work to ChatGPT, Claude, Codex, Gemini, Hermes, and similar agents with a real objective, inputs, tool choice, validation, recovery, and human boundary.
## No-Shell Agent Architect MCP
This repository now also ships a remote MCP/API product: **No-Shell Agent Architect MCP**.
It takes a plain-language automation goal and returns:
- the recommended MCP/plugin/skill/tool stack;
- a copy-paste no-shell agent command;
- dry-run steps;
- QA and audit checks;
- recovery guidance;
- human boundaries for secrets, accounts, payments, publishing, and irreversible actions.
Local API preview:
```powershell
npm install
npm run dev
```
Then open:
```text
http://localhost:3000
```
Remote MCP endpoint after deployment:
```text
https://no-shell-agent-architect-mcp.vercel.app/api/mcp
```
Live demo:
```text
https://no-shell-agent-architect-mcp.vercel.app
```
Launch kit:
```text
https://no-shell-agent-architect-mcp.vercel.app/launch
```
Official MCP Registry:
```text
https://registry.modelcontextprotocol.io/v0/servers?search=no-shell-agent-architect-mcp
```
Client config:
```json
{
"mcpServers": {
"no-shell-agent-architect": {
"url": "https://no-shell-agent-architect-mcp.vercel.app/api/mcp"
}
}
}
```
## Who this is for
- Non-developers, solo operators, freelancers, and small teams who want practical AI automation.
- People who know AI can code or automate, but do not know which plugin, skill, command, or workflow to start with.
- People who need "make this business workflow actually work", not only "generate some code".
## What's included
- Free diagnostic: 10 reasons AI automations become empty shells.
- Starter pack: Email and document automation workflow.
- Before/After demo: a shallow command vs a no-shell operating command.
- Customer intake sheet.
- Tool/router sheet for choosing agents, plugins, skills, MCP, browser, documents, spreadsheets, or manual review.
- Copy-paste command cards written in natural language.
- Result scorecard for catching fake completion.
- Recovery playbook: fix the upstream cause instead of stopping at one more gate.
- Validation tracker for a 20-person usefulness test.
- Local landing mockup, PDF exports, and ZIP packages.
## Quick start
1. Read `free/ai_automation_failure_diagnostic_card.md`.
2. Open `demo/before_after_email_document_demo.md`.
3. Use `delivery/01_customer_intake.md` to describe one real workflow.
4. Pick the tool path in `delivery/02_tool_router.md`.
5. Run the command card in `delivery/03_command_cards.md`.
6. Check the result with `delivery/04_result_scorecard.md`.
7. If it fails, use `delivery/05_recovery_playbook.md`.
## Rendered artifacts
- Local landing mockup: `landing/index.html`
- Free PDF: `pdf/free-diagnostic-card.pdf`
- Demo PDF: `pdf/before-after-demo.pdf`
- Customer ZIP: `dist/no-shell-agent-operating-pack-starter-v1.zip`
- Workbench ZIP: `dist/no-shell-agent-operating-pack-workbench-v1.zip`
- Validation tracker: `outreach/validation_tracker.csv`
## Validation
Run the package selfcheck:
```powershell
npm run selfcheck
npm run test
npm run build
```
Expected result:
```text
PASS package selfcheck
PASS mcp product selfcheck
```
The selfcheck verifies required files, rendered PDF/PNG artifacts, ZIP contents, landing copy, README/manifest, validation-tracker fields, MCP metadata, tool coverage, and secret-pattern safety.
## Marketing
Launch copy, community drafts, Product Hunt copy, Show HN copy, Reddit/LinkedIn/X drafts, and directory submission text live in `docs/LAUNCH_KIT.md`.
## Current status
This repository is public and open source. It is early-stage and still needs real external validation. The local package is complete enough to show to users, but market demand is not proven until the 20-person validation tracker has real responses.
No payment connection, storefront publish, account login, secret, or private customer data is included in this repository.
## License
MIT. See `LICENSE`.
What people ask about no-shell-agent-operating-pack
What is loved0543-dotcom/no-shell-agent-operating-pack?
+
loved0543-dotcom/no-shell-agent-operating-pack is subagents for the Claude AI ecosystem. Plain-language operating pack for preventing empty-shell AI automation with agents, plugins, skills, validation, and recovery. It has 0 GitHub stars and was last updated today.
How do I install no-shell-agent-operating-pack?
+
You can install no-shell-agent-operating-pack by cloning the repository (https://github.com/loved0543-dotcom/no-shell-agent-operating-pack) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is loved0543-dotcom/no-shell-agent-operating-pack safe to use?
+
loved0543-dotcom/no-shell-agent-operating-pack has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains loved0543-dotcom/no-shell-agent-operating-pack?
+
loved0543-dotcom/no-shell-agent-operating-pack is maintained by loved0543-dotcom. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to no-shell-agent-operating-pack?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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