ARCHETYPE
Pragmatist
A balanced, no-drama setup: some rules, some tools, nothing extreme.
Copy this rig
# review before running: this installs third-party code
$ npx degit frenzymath/Danus/agents ./rig-danus/agents 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.
$ npx degit frenzymath/Danus/.agents/skills/elaboration .claude/skills/elaboration $ npx degit frenzymath/Danus/.agents/skills/human-summary .claude/skills/human-summary $ npx degit frenzymath/Danus/.agents/skills/initialize .claude/skills/initialize $ npx degit frenzymath/Danus/.agents/skills/write-paper .claude/skills/write-paper
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 *)"
]
}
} MCP servers (3)
| server | source | est. tokens |
|---|---|---|
| danus env: DANUS_AUTHOR, DANUS_ROLE, DANUS_VERIFY_TIMEOUT | local / custom | 2.5k |
| write-paper env: DANUS_AUTHOR, DANUS_AUTHORING_TIMEOUT_SECONDS, DANUS_PAPER_VERIFY_WHOLE_DOC_CAP, DANUS_ROLE | local / custom | 2.5k |
| human-summary env: DANUS_AUTHOR, DANUS_ROLE | local / custom | 2.5k |
Skills (4)
Similar rigs
EmmanuelRTM/ScientistOne_claude_code_primitives
In this repo, we explore Google's ScientistOne research pipeline, recreated entirely from Claude Code primitives — subagents as researchers, skills as stages, hooks as integrity guards. Includes a bundled offline demo task and Chain-of-Evid
Orchestrator 2.6k tok ·
Aperivue/medsci-skills
Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on re
Skill Collector 5.6k tok ·
brycewang-stanford/Auto-Empirical-Research-Skills
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP
Skill Collector 8.2k tok ·
anomalyco/opencode
The open source coding agent.
Pragmatist 4.2k tok ·