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init

Use on the first substantive work in a project MasterMind isn't set up for yet, when the user says "init", "initialize", "set up MasterMind", "onboard", "get me ready", or when no field pack matches the project's detected stack.

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Harga belum dikonfirmasi★ 24 Star GitHubDirektori diperbarui · 13 Sep 2026agent-skill

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Initialize: get MasterMind ready for this project, fast

The goal: a new user goes from "installed" to "the brain is set up for my stack and knows what I'm building" in a few quick steps: a handoff, not an intake form. Detect what you can; ask the rest. Run once per project; if this project already built its field, you're set: skip this.

Nothing ships pre-baked. A fresh install carries only the engine and engineering/fields/_template/ no field, because a pack tuned to someone else's stack is worse than none (dead weight that misleads). So init's core job is to build this project's field from the template, tuned to the real stack. This is where the measured quality lift comes from; without it you still apply solid general judgment, but the domain pack is the difference.

Keep it short (the #1 rule)

Detect before asking: read the answers out of the project, and make the technical calls yourself. A developed project needs zero questions: continue with its own stack. A greenfield project needs one open question ("what do you want to build?"), answered in their own words. The whole thing should feel like 20 seconds, then you're working.

Path A: the project already has code

Detect the stack: package.json/lockfile, configs, framework + versions, DB, test runner, folder shape (core/agent-loop.md). This is free, read it rather than asking.
Set up its field:
- This project already built a field that fits → load it. Done. (Nothing else ships, so this only happens on a re-run of a project that was set up before.)
- Otherwise: build one from engineering/fields/_template/, tuned to the detected stack: a one-time bootstrap (levelup bootstrap), stated as a trade-off, not a menu: "a few minutes now makes me much sharper on your stack: its real defaults, pitfalls, and review rules. It's once per field, then reused for every task." Build it to fit one real stack, and keep it lean, tailoring prunes as much as it adds (active-field.md). Fill the pack's "Where things are" section from what step 1 already detected: the half-dozen entry-point pointers (components, routes, state, tests + run command, config, the one file that explains the architecture fastest). This is the narrow exception to "skip the directory listing" below: a full tree is re-derivable noise, but these few pointers are what stop every future task from re-running discovery. Then point active-field.md at it and regenerate the router from the brain you are installed into: node .mastermind/scripts/build-router.mjs for a per-project brain, the default. Under --shared the brain is the one in your home directory, so run that same script from there. A bare scripts/… path is the project's own directory and fails with MODULE_NOT_FOUND.
Fill the project brief (.mastermind/brief.md). An isolated install seeds it; under --shared there is no project brain, so create the file yourself at that path. The field pack holds the stack; the brief holds this project: what it is, the words it uses for its own ideas, what breaks and who feels it, what cannot be undone here, and how it ships. Most of it comes from step 1. Ask the user only for what the code cannot tell you, which is usually who feels an outage and which actions are irreversible. Keep it under about 40 lines: it is read every session. This is what stops a change that is technically correct and operationally wrong.
Respect the project: match its conventions and keep the stack it already chose (stack-defaults.md: the project wins).

Path B: greenfield (empty folder / nothing built yet)

Nothing to detect, so ask one open question, in the user's own words rather than a menu of stack options:

"What do you want to build?"

Let them describe it freely: a product, an app, a feature, technical or not. Then read their answer:

They named the tech (a framework, language, database) → use it.
They only described the product → assume they may not be an engineer, and make the stack call for them. You choose the architecture and tech stack that best fit what they described. That's the prime directive (decide for them), then state the choice with a one-line why and proceed without pausing: "I'll build this as Next.js + Postgres: best fit for a realtime habit tracker." (If they later want something different, they'll say so.)

Then set up the field pack(s) for that stack, load or bootstrap all it needs (a real app needs frontend + backend: UI and auth/tenancy/data/jobs). Offer to scaffold the starting point (repo/toolchain/env), then hand to build / architect for the first slice.

The first result comes before setup finishes

If the user is eager to build now, start the first vertical slice on general judgment and run pack-bootstrap as an after-first-slice / background step: a multi-minute research detour waits its turn behind their first working result.

Show the plan before you write the pack

Building a field takes minutes of research and lands real files, so let the user see it as a proposal first: a few lines, not a document:

Detected: Next.js 15 · React 19 · TypeScript · Postgres/Prisma · Vitest
I'll build a `frontend` field with: stack defaults for this exact combination ·
review rules for React 19 · an empty lessons file that fills as we work.
Starting now: say the word if the stack reading is off.

State it and proceed; this announces rather than asks. It costs one line and catches the one failure worth catching: a wrong stack reading becoming a pack that's subtly wrong about everything.

Store only what can't be re-derived: plus the pack's few "Where things are" entry-point pointers (step 2's named exception). Skip the full directory listing and the dependency list, the model can read those any time. Keep the pitfalls, the non-obvious conventions, and the decisions someone would otherwise have to rediscover.

Always end with a short report

Both paths finish with a ~5-line report so the setup is visible and the user knows what's ready:

▸ MasterMind ready
  stack:       Next.js 15 · React 19 · Postgres/Prisma   (detected)
  fields:      frontend + backend (built from _template for your stack)
  conventions: matched your existing style
  next:        tell me what to build, I'll run the build loop.

Then proceed straight into their actual task: the report is a line you pass through, not a checkpoint.

Optional preferences: offer once, then remember

After the ready report, offer these once: both skippable, both default off:

"Two optional preferences, both off by default. I'll remember your answers: (1) a short written report at the end of each build/QA cycle? (markdown / html) (2) plan-first: on bigger tasks, should I show the plan and wait for your OK before editing?"

Record the answers in .mastermind/prefs.md, seeded by an isolated install and created by you under --shared, one line each. Both preferences are defined by their implementations, skills/build/SKILL.md (plan-first gate) and skills/report/SKILL.md (cycle-report values); read those for the exact keys and accepted values rather than restating them here. Ask once and let it go: a shrug or silence defaults both off and you move straight on. They can change either anytime ("reports on", "plan first from now on"). (Keep it to this single light offer: one ask, then work.)

Gotchas

Run once per project: check for a matching field pack first, and load it if one is already there.
One open question, kept open-ended: greenfield asks only "what do you want to build?"; if the user isn't technical, you pick the stack (decide for them), state it, and move, the choice is yours to make.
Full-stack means both packs: the classic failure is a polished UI on an unguarded backend; load the backend pack whenever auth/data/tenancy/billing are in scope.
This sets up knowledge, not your repo's config, repo edits happen only as part of doing the task.

Lihat sumber ↗

Metadata berkas

name: init
description: Use on the first substantive work in a project MasterMind isn't set up for yet, when the user says "init", "initialize", "set up MasterMind", "onboard", "get me ready", or when no field pack matches the project's detected stack.

Lihat teks asli

---
name: init
description: Use on the first substantive work in a project MasterMind isn't set up for yet, when the user says "init", "initialize", "set up MasterMind", "onboard", "get me ready", or when no field pack matches the project's detected stack.
---

# Initialize: get MasterMind ready for this project, fast

The goal: a new user goes from "installed" to "the brain is set up for my stack and knows what I'm
building" in a **few quick steps**: a handoff, not an intake form. Detect what you can; ask the rest.
Run **once per project**; if this project already built its field, you're set: skip this.

**Nothing ships pre-baked.** A fresh install carries only the engine and `engineering/fields/_template/`
no field, because a pack tuned to someone else's stack is worse than none (dead weight that misleads).
So init's core job is to **build this project's field from the template**, tuned to the real stack. This
is where the measured quality lift comes from; without it you still apply solid general judgment, but the
domain pack is the difference.

## Keep it short (the #1 rule)
**Detect before asking: read the answers out of the project, and make the technical calls yourself.**
A developed project needs **zero questions**: continue with its own stack. A greenfield project needs **one
open question** ("what do you want to build?"), answered in their own words. The whole thing should feel
like 20 seconds, then you're working.

## Path A: the project already has code
1. **Detect the stack**: `package.json`/lockfile, configs, framework + versions, DB, test runner, folder
shape (`core/agent-loop.md`). This is free, read it rather than asking.
2. **Set up its field:**
- **This project already built a field that fits** → load it. Done. (Nothing else ships, so this only
happens on a re-run of a project that was set up before.)
- **Otherwise: build one** from `engineering/fields/_template/`, tuned to the detected stack: a
**one-time bootstrap** (`levelup bootstrap`), stated as a trade-off, not a menu: *"a few minutes now
makes me much sharper on your stack: its real defaults, pitfalls, and review rules. It's once per
field, then reused for every task."* Build it to fit **one real stack**, and keep it lean, tailoring
**prunes as much as it adds** (`active-field.md`). **Fill the pack's "Where things are" section**
from what step 1 already detected: the half-dozen entry-point pointers (components, routes, state,
tests + run command, config, the one file that explains the architecture fastest). This is the
narrow exception to "skip the directory listing" below: a full tree is re-derivable noise, but
these few pointers are what stop every future task from re-running discovery. Then point
`active-field.md` at it and regenerate the router **from the brain you are installed into**:
`node .mastermind/scripts/build-router.mjs` for a per-project brain, the default. Under
`--shared` the brain is the one in your home directory, so run that same script from there.
A bare `scripts/…` path is the project's own directory and fails with MODULE_NOT_FOUND.
3. **Fill the project brief** (`.mastermind/brief.md`). An isolated install seeds it; under
`--shared` there is no project brain, so create the file yourself at that path. The field pack holds the
stack; the brief holds *this* project: what it is, the words it uses for its own ideas, what breaks
and who feels it, what cannot be undone here, and how it ships. Most of it comes from step 1. Ask
the user only for what the code cannot tell you, which is usually who feels an outage and which
actions are irreversible. **Keep it under about 40 lines**: it is read every session. This is what
stops a change that is technically correct and operationally wrong.
4. **Respect the project**: match its conventions and keep the stack it already chose
(`stack-defaults.md`: the project wins).

## Path B: greenfield (empty folder / nothing built yet)
Nothing to detect, so ask **one open question, in the user's own words rather than a menu of stack options:**

> *"What do you want to build?"*

Let them describe it freely: a product, an app, a feature, **technical or not**. Then read their answer:
- **They named the tech** (a framework, language, database) → use it.
- **They only described the product** → assume they may not be an engineer, and **make the stack call for
them.** *You* choose the architecture and tech stack that best fit what they described. That's the
prime directive (decide for them), then state the choice with a one-line *why* and **proceed without
pausing**: *"I'll build this as Next.js + Postgres: best fit for a realtime habit tracker."* (If they
later want something different, they'll say so.)

Then set up the field pack(s) for that stack, **load or bootstrap all it needs** (a real app needs
**frontend + backend**: UI *and* auth/tenancy/data/jobs). Offer to scaffold the starting point
(repo/toolchain/env), then hand to `build` / `architect` for the first slice.

## The first result comes before setup finishes
If the user is eager to build *now*, start the first vertical slice on general judgment and run
pack-bootstrap **as an after-first-slice / background step**: a multi-minute research detour waits its
turn behind their first working result.

## Show the plan before you write the pack

Building a field takes minutes of research and lands real files, so let the user see it as a proposal
first: a few lines, not a document:

```text
Detected: Next.js 15 · React 19 · TypeScript · Postgres/Prisma · Vitest
I'll build a `frontend` field with: stack defaults for this exact combination ·
review rules for React 19 · an empty lessons file that fills as we work.
Starting now: say the word if the stack reading is off.
```

State it and proceed; this announces rather than asks. It costs one line and catches the one failure
worth catching: a wrong stack reading becoming a pack that's subtly wrong about everything.

**Store only what can't be re-derived**: plus the pack's few "Where things are" entry-point pointers
(step 2's named exception). Skip the full directory listing and the dependency list, the model
can read those any time. Keep the pitfalls, the non-obvious conventions, and the decisions someone
would otherwise have to rediscover.

## Always end with a short report
Both paths finish with a **~5-line** report so the setup is visible and the user knows what's ready:

```
▸ MasterMind ready
stack: Next.js 15 · React 19 · Postgres/Prisma (detected)
fields: frontend + backend (built from _template for your stack)
conventions: matched your existing style
next: tell me what to build, I'll run the build loop.
```

Then proceed straight into their actual task: the report is a line you pass through, not a checkpoint.

## Optional preferences: offer once, then remember
After the ready report, offer these once: both skippable, both default **off**:

> *"Two optional preferences, both off by default. I'll remember your answers:*
> *(1) a short written **report** at the end of each build/QA cycle? (markdown / html)*
> *(2) **plan-first**: on bigger tasks, should I show the plan and wait for your OK before editing?"*

Record the answers in **`.mastermind/prefs.md`**, seeded by an isolated install and created by you
under `--shared`, one line each. Both preferences are defined by
their implementations, **`skills/build/SKILL.md`** (plan-first gate) and **`skills/report/SKILL.md`**
(`cycle-report` values); read those for the exact keys and accepted values rather than restating them here.
Ask once and let it go: a shrug or silence defaults both `off` and you move straight on. They can change
either anytime ("reports on", "plan first from now on"). (Keep it to this single light offer: one ask,
then work.)

## Gotchas
- **Run once per project**: check for a matching field pack first, and load it if one is already there.
- **One open question, kept open-ended**: greenfield asks only "what do you want to build?"; if the user
isn't technical, *you* pick the stack (decide for them), state it, and move, the choice is yours to make.
- **Full-stack means both packs**: the classic failure is a polished UI on an unguarded backend; load
the backend pack whenever auth/data/tenancy/billing are in scope.
- This sets up *knowledge*, not your repo's config, repo edits happen only as part of doing the task.

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Lisensi: MIT
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Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: MIT

Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
Persetujuan tinjauan AI belum ada
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 24 GitHub stars
Stars/forks activity: 24 stars, 5 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

TerindeksDiperiksa statis

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber: mehrad-dm/mastermind
Lisensi: MIT
Versi: Unknown
Push GitHub terakhir: 12 Sep 2026
Direktori diperbarui: 13 Sep 2026
Jalur instruksi: skills/init/SKILL.md @ 41b1decb369f

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

52/100

Perlu ditinjau

Kepercayaan

58/100

Do not auto-install

Audit

69/100

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Buka audit lengkap Lihat laporan evaluasi

Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
Persetujuan tinjauan AI belum ada
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 24 GitHub stars
Stars/forks activity: 24 stars, 5 forks; issue activity unavailable in current metadata
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Hasil: —

Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.

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Detail lainnya

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      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "automation",
      "agent-skill"
    ],
    "known_risks": [
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 24 GitHub stars",
      "Stars/forks activity: 24 stars, 5 forks; issue activity unavailable in current metadata",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 69,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 24 GitHub stars"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 52,
    "label": "Needs review"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Browser automation",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use init in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 66/100 Manual review",
      "Audit: 69/100 Needs review",
      "Safety: 21/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "mehrad-dm-init (init)",
      "install_command": "npx skills add mehrad-dm/mastermind --skill init",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "mehrad-dm-init",
      "task": "Use init in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/mehrad-dm-init",
    "api": "https://www.openagentskill.com/api/agent/skills/mehrad-dm-init",
    "audit": "https://www.openagentskill.com/skills/mehrad-dm-init/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=mehrad-dm-init&task=Use%20init%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20init%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20init%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/mehrad-dm-init/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/mehrad-dm-init"
  }
}

Untuk kreator

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator: mehrad-dm
Sumber: mehrad-dm/mastermind
Diindeks oleh: Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan mehrad-dm, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/mehrad-dm-init?metric=listed&label=Listed)](https://www.openagentskill.com/skills/mehrad-dm-init?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/mehrad-dm-init?metric=trust&label=Trust)](https://www.openagentskill.com/skills/mehrad-dm-init?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/mehrad-dm-init?metric=audit&label=Audit)](https://www.openagentskill.com/skills/mehrad-dm-init/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/mehrad-dm-init?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/mehrad-dm-init?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.