Init Agent Config

/init-agent-config

Compose agent-harness into a project — interactive scaffold that asks about project type and selects the right subset.

Master TOC

• Pre-flight
• Step 1: Detect the current project state
• Step 2: Ask the user 6 questions
• Step 3: Resolve consumption mode
• Step 4: Compose the project
• Step 5: Post-setup verification
• Step 6: Show summary + next steps
• Idempotency

Pre-flight

Verify (per plugin-preflight rule):

• agent-harness is locally cloned at ~/.claude/agent-harness/ OR the user has internet access for raw-URL imports OR the plugin is installed
• The current directory is writable and the user is OK adding CLAUDE.md / .claude/ / etc.

If agent-harness is not yet cloned and the user wants the local-clone consumption mode:

git clone https://github.com/jajupmochi/agent-harness.git ~/.claude/agent-harness

Ask the user before running this.

Step 1: Detect the current project state

# Check if directory is empty
ls -A | wc -l

# Check if it's a git repo
git rev-parse --is-inside-work-tree 2>/dev/null

# Check for existing CLAUDE.md
ls CLAUDE.md 2>/dev/null

# Detect language / framework hints
ls package.json pyproject.toml Cargo.toml go.mod 2>/dev/null

Branches:

• Empty directory → fresh scaffold from a agent-harness template
• Existing project, no CLAUDE.md → add CLAUDE.md + .claude/ on top of existing code
• Existing project, with CLAUDE.md → ask the user: merge with existing? back up first? skip CLAUDE.md and only do .claude/?

Step 2: Ask the user 6 questions

Use AskUserQuestion to gather:

1. Project type (single-select):

   • Python research package
   • Static personal/portfolio site (HTML/CSS/JS)
   • Frontend application (React / Vue / etc.)
   • Other / custom (skip template, just add rules + tooling)

2. Bilingual policy (single-select):

   • Bilingual (EN canonical + zh mirror) for top-level docs
   • English only
   • Chinese only
   • Other / let me decide later

3. Final-output language preference (single-select):

   • Chinese (中文) — apply chinese-output rule
   • English — skip the rule
   • Other / let me decide later

4. Context tags (multi-select — only the matching items get installed):

   • always (universal rules: pre-edit-confirmation, phased-planning, plugin-preflight)
   • research-pkg (Python tooling: uv + ruff + pytest)
   • ui-project (JS/UI/animation/build/test/style)
   • static-site (HTML/CSS/JS, i18n, Lighthouse via chrome-devtools)
   • ml-research (HF Hub, datasets, gpustat, orchestra-ml-skills)
   • web-perf (Lighthouse + a11y tooling)
   • image-or-video-work (sharp, ffmpeg, etc.)
   • docs-site (mkdocs)
   • electron-or-desktop (Electron + electron-builder)

5. Consumption mode (single-select):

   • Raw URL imports — always live, requires network
   • Local clone (~/.claude/agent-harness/) — fast, offline
   • Plugin install (P10+) — most native; only if /plugin install jajupmochi/agent-harness was run

6. Personal-preference rules (multi-select):

   • output-brevity — no end-of-batch recap, no echo, prefer Edit over Write
   • tool-proactivity — fire installed tools without asking
   • no-reread-files — trust in-session memory of file contents

Step 3: Resolve consumption mode

Build the @import paths based on the user's choice:

• Raw URL: @https://raw.githubusercontent.com/jajupmochi/agent-harness/main/<path>
• Local clone: @~/.claude/agent-harness/<path>
• Plugin: (no @import lines — plugin auto-loads)

Step 4: Compose the project

Based on choices, do:

4.1 Copy the template (if a project type was selected)

# Python research:
cp -r ~/.claude/agent-harness/templates/research-package-py/. ./

# Static site:
cp -r ~/.claude/agent-harness/templates/personal-cite-static/. ./

4.2 Substitute placeholders

Ask the user for:

• <PROJECT_NAME>, <PACKAGE_NAME>, <DESCRIPTION>, <AUTHOR_NAME>, <AUTHOR_EMAIL> (research)
• <SITE_NAME>, <DESCRIPTION>, <AUTHOR_NAME>, <AUTHOR_GITHUB>, <DEPLOY_URL> (static)

Then run find ... -exec sed -i ... to replace.

4.3 Generate the project's CLAUDE.md

Take the template's CLAUDE.template.md, then:

• Uncomment the chosen consumption mode block
• Remove the other consumption mode comments
• Filter @import lines to only those matching:
  • The user's selected context tags (Step 2.4)
  • The user's personal-preference rules (Step 2.6)
  • The user's language preference (Step 2.3 — include chinese-output only if Chinese)
  • The user's bilingual choice (Step 2.2 — include bilingual-docs only if bilingual)

Save as CLAUDE.md.

4.4 Set up .claude/settings.json

Start from the template's .claude/settings.template.json (rename → settings.json).

Add hook snippets based on context tags:

• research-pkg → ruff-format-on-edit hook (already in research-package-py template)
• static-site → jq-validate-json hook (already in personal-cite-static template)

Merge with jq -s '.[0] * .[1]' if multiple snippets need to combine.

4.5 Set up .claude/settings.local.json (per-user, gitignored)

Apply tooling/permissions-allowlist/settings.local.snippet.json — common safe Bash patterns.

4.6 Install bundled skills

For the chosen template, the project-specific skills (verify, preview, verify-visual, i18n-sync) come from the template directly.

For general skills (long-running-tasks, privacy-redact), symlink or copy from ~/.claude/agent-harness/skills/general/:

# Symlink (if local clone consumption):
mkdir -p .claude/skills
for skill in long-running-tasks privacy-redact verify-visual; do
  ln -s ~/.claude/agent-harness/skills/general/$skill .claude/skills/$skill
done

# Or copy (if raw-URL or plugin consumption — symlinks won't work for distribution):
for skill in long-running-tasks privacy-redact verify-visual; do
  cp -r ~/.claude/agent-harness/skills/general/$skill .claude/skills/$skill
done

4.7 Apply tooling templates (if matching context tags)

• research-pkg selected → reference tooling/python-uv-ruff/pyproject.template.toml (already in research-package-py template)
• ui-project selected → reference tooling/node-nvm/
• always → permissions-allowlist already applied in 4.5

4.8 Add recommendations note

Append to the project's README.md:

## Tooling references

This project follows conventions from [agent-harness](https://github.com/jajupmochi/agent-harness). For tool selection guidance, see:

- [recommendations/cli-tools.md](https://github.com/jajupmochi/agent-harness/blob/main/recommendations/cli-tools.md)
- [recommendations/<context-specific-files>.md](...)

(Filter the list to context tags the user picked.)

Step 5: Post-setup verification

Run:

# JSON validity for all settings.json files
for f in .claude/settings.json .claude/settings.local.json; do
  [ -f "$f" ] && jq empty "$f" || echo "Invalid: $f"
done

# CLAUDE.md is non-empty and well-formed
head -20 CLAUDE.md

# (For research-pkg) pyproject is valid
[ -f pyproject.toml ] && python3 -c 'import tomllib; tomllib.load(open("pyproject.toml","rb"))'

# git status
git status --short 2>/dev/null

If anything fails, surface the error and ask the user how to proceed.

Step 6: Show summary + next steps

Output something like:

✓ /init-agent-config complete

Composed:
- Project type: <selected>
- Consumption mode: <selected>
- Rules applied: <list>
- Hooks: <list>
- Skills: <list>

Next steps:
1. Replace remaining <PLACEHOLDERS> in CLAUDE.md / pyproject.toml / README.md
2. (Research) uv sync --python 3.12 && uv pip install -e ".[dev]"
3. (Static) python3 -m http.server 8000
4. git init && git add . && git commit -m "chore: initialize from agent-harness"

Idempotency

If /init-agent-config is run a second time in the same project:

• Detect existing CLAUDE.md and .claude/settings.json
• Ask: "merge new selections / overwrite / skip"
• Default to merge (additive — new rules added, existing rules untouched)

This makes the skill safe to re-run when adding new context tags later (e.g., a research project that grows a UI dashboard).

Companion

• The templates/ directory provides the actual scaffolds
• recommendations/README.md defines the context tags this skill uses
• rules/README.md lists the workflow rules this skill composes