Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/poshan0126/dotclaude/setupdotclaudenpx skills add poshan0126/dotclaude --skill setupdotclaudegit clone --depth 1 https://github.com/poshan0126/dotclaudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/poshan0126/dotclaude/setupdotclaude)<a href="https://agentmods.dev/skills/poshan0126/dotclaude/setupdotclaude"><img src="https://agentmods.dev/badge/skills/poshan0126/dotclaude/setupdotclaude.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00035 | $0.03592 |
| Opus 5 | $0.00017 | $0.01796 |
| Sonnet 5 | $0.00007 | $0.00718 |
| Haiku 4.5 | $0.00003 | $0.00359 |
Grade A, and why
setupdotclaude scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set up dotclaude in this project with one governing principle: install nothing without evidence and consent. Every rule, hook, agent, and skill must be justified by something found in the codebase or explicitly requested by the user. When in doubt, leave it out — the user can always add more later; unused config costs tokens and trust forever.
CLAUDE.md for this project goes at the project root (./CLAUDE.md), committed so the team shares it; all other config lives inside .claude/. Claude reads and layers other scopes too: ~/.claude/CLAUDE.md (your personal, cross-project preferences), CLAUDE.local.md (gitignored personal overrides for this project), and nested CLAUDE.md in subdirectories (monorepo packages). Route team-shared instructions to the committed root file, personal ones to the home or .local file.
Two modes, decided by what exists:
- Fresh: no
.claude/content yet (whether the user will install from this plugin or has nothing at all). - Existing:
.claude/already has settings, rules, skills, agents, or hooks (from a clone+copy, an earlier run, or hand-rolled). Same scan and interview, but Phase 4 becomes a gap analysis: add what's missing and justified, propose removing what's unjustified, never touch user-customized content without showing the change first.
If $ARGUMENTS names a focus area (e.g. frontend), weight the scan and the proposals toward it.
Phase 1: Deep scan (read-only — no writes of any kind in this phase)
Build an evidence table. Don't stop at manifests; read real code.
- Stack: manifests (
package.json,pyproject.toml,Cargo.toml,go.mod,Gemfile,composer.json,build.gradle,pom.xml,Makefile,Dockerfile) and CI workflows (.github/workflows/,.gitlab-ci.yml). Record the actual build/test/lint/dev commands and script names, not guesses. - Monorepo:
workspaceskey,pnpm-workspace.yaml,lerna.json,nx.json,turbo.json, or multiple manifests at depth 2+. List the packages. - Source layout: list the real source directories (
src/,app/,lib/,packages/*/src,cmd/,internal/, ...). These become rulepaths:globs later — record actual paths, never assumesrc/. - Tests: config files (
jest.config.*,vitest.config.*,pytest.ini,conftest.py,playwright.config.*, ...), then open 2-3 real test files: runner, naming convention (*.test.tsvstest_*.py), test directory layout, assertion style, how much mocking they actually do. - Frontend:
.tsx/.jsx/.vue/.sveltefiles, component directories, framework and styling approach from dependencies. - Backend/API: route/controller/handler/service directories; ORM and migration dirs (
prisma/,alembic/,migrations/,db/migrate/, ...). - Docs: a
docs/directory or substantial.mdfiles beyond the README. - Formatter/linter: configs AND binaries (Biome, Prettier, Ruff, Black, rustfmt, gofmt, ESLint).
- Git: default branch (
git symbolic-ref refs/remotes/origin/HEAD), commit message style (git log --oneline -20), whether PRs/ghare part of the workflow (remote on GitHub,ghinstalled). - Read 5-10 representative source files across the main directories: naming style (camelCase vs snake_case), error-handling patterns (typed errors vs bare catch), comment density, generated-file markers (
*.gen.ts,*_pb2.py,// Code generated). - Existing AI/editor config:
./CLAUDE.md,AGENTS.md,.cursorrules,.cursor/rules/,.github/copilot-instructions.md, current.claude/*. This is content to migrate, never to clobber. - Domain: skim the README for domain terms, abbreviations, and architecture statements that aren't obvious from code.
If the project is empty (no source files, no manifests): say so, offer only the minimal baseline (CLAUDE.md template + safety hooks + settings), and stop after installing it. "Re-run after adding code to customize."
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 155 lines · 35 tokens per session scan A b7426d412d87
setupdotclaude is a skill published in the GitHub repository poshan0126/dotclaude (860 stars, last pushed 7d ago), licensed MIT. It adds 35 tokens to every session and 3,592 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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