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 commands/hyperb1iss/moonrepo-skill/moon-initgit clone --depth 1 https://github.com/hyperb1iss/moonrepo-skillWrote 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/commands/hyperb1iss/moonrepo-skill/moon-init)<a href="https://agentmods.dev/commands/hyperb1iss/moonrepo-skill/moon-init"><img src="https://agentmods.dev/badge/commands/hyperb1iss/moonrepo-skill/moon-init.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 | $0.00019 | $0.00389 |
| Opus 5 | $0.00010 | $0.00195 |
| Sonnet 5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
moon-init 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.
What it actually says
Initialize Moon Workspace
Initialize moon in the current repository.
Process
- Check if moon is already initialized (look for
.moon/directory) - If not initialized, run
moon init - If initializing with a specific toolchain, run
moon toolchain add <tool>(v2)
Commands
# Check current state
ls -la .moon/ 2>/dev/null || echo "Moon not initialized"
# Initialize moon
moon init
# Add toolchain (v2 - replaces 'moon init <tool>')
moon toolchain add node
moon toolchain add rust
moon toolchain add python
Post-Init Configuration
After initialization, review and customize:
.moon/workspace.yml- Project discovery patterns.moon/toolchains.yml- Language versions (v2: plural).moon/tasks/*.yml- Global inherited tasks (v2: directory)
Example Workspace Setup
# .moon/workspace.yml
$schema: "https://moonrepo.dev/schemas/workspace.json"
projects:
- "apps/*"
- "packages/*"
vcs:
client: "git"
defaultBranch: "main"
pipeline:
archivableTargets:
- ":build"
Example Toolchain
# .moon/toolchains.yml (v2: plural, flat structure)
$schema: "https://moonrepo.dev/schemas/toolchains.json"
javascript:
packageManager: "pnpm"
node:
version: "20.10.0"
pnpm:
version: "8.12.0"
Report what was created and suggest next steps.
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 · 75 lines · 19 tokens per session scan A 09168b0463ad
moon-init is a command published in the GitHub repository hyperb1iss/moonrepo-skill (5 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 389 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.