Ido-Levi/Hephaestus
Semi-Structured Agentic Framework. Workflows build themselves as agents discover what needs to be done, not what you predicted upfront.
ARCHETYPE
Minimalist
Lean instructions, few tools, tiny context tax. Lets the model think.
Copy this rig
# review before running: this installs third-party code
$ npx degit Ido-Levi/Hephaestus/.claude ./rig-hephaestus # inspect, then merge into .claude/ MCP servers are added to Claude Code at local scope; env vars are shown as YOUR_… placeholders — we never store values. Files are fetched with degit into a separate folder so you can review before merging.
$ curl -fsSL --create-dirs -o .claude/agents/backend-completion-specialist.md https://raw.githubusercontent.com/Ido-Levi/Hephaestus/main/.claude/agents/backend-completion-specialist.md $ curl -fsSL --create-dirs -o .claude/agents/docs-accuracy-auditor.md https://raw.githubusercontent.com/Ido-Levi/Hephaestus/main/.claude/agents/docs-accuracy-auditor.md $ curl -fsSL --create-dirs -o .claude/agents/senior-react-developer.md https://raw.githubusercontent.com/Ido-Levi/Hephaestus/main/.claude/agents/senior-react-developer.md
This rig commits no guardrails. Here is the community baseline instead — the deny/ask rules most often found across all 7,204 rigs:
{
"permissions": {
"deny": [
"Read(./.env)",
"Read(**/.env)",
"Read(~/.ssh/**)",
"Bash(rm -rf *)",
"Read(**/*.pem)",
"Bash(rm -rf /)",
"Bash(git push --force:*)",
"Bash(sudo *)",
"Read(.env)",
"Bash(rm -rf /*)",
"Read(./.env.*)",
"Read(~/.aws/**)",
"Bash(git push --force*)",
"Bash(rm -rf:*)",
"Read(**/*.key)",
"Read(**/.env.*)",
"Bash(sudo:*)",
"Bash(git reset --hard*)",
"Bash(git reset --hard:*)",
"Read(.env.*)"
],
"ask": [
"Bash(git push:*)",
"Bash(git push *)",
"Bash(git commit:*)",
"Bash(rm *)",
"Bash(rm:*)",
"Bash(git rebase *)",
"Bash(wget *)",
"Bash(npm publish:*)",
"Bash(git commit *)",
"Bash(gh pr merge *)"
]
}
} Subagents (3)
| backend-completion-specialist model: sonnet | Use this agent when you need a comprehensive backend task completed from start to finish in a Python codebase. This includes implementation, testing, validation, and proper integration. Examples:\n\n< |
| docs-accuracy-auditor model: sonnet | Use this agent when you need to verify and update documentation files in the docs/ folder to ensure they accurately reflect the current codebase implementation and are readable/understandable. This ag |
| senior-react-developer model: sonnet | Use this agent when you need to implement frontend features, UI components, or pages in React. This agent excels at creating visually consistent, well-designed user interfaces that align with existing |
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