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Aicrew Quick

skill-aksoftcode-aicrew-aicrew-quick · by AKSoftCode

Run the aicrew /quick scout-first, Karpathy-guarded lightweight flow in Codex.

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Install

$ agentstack add skill-aksoftcode-aicrew-aicrew-quick

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

aicrew /quick (Codex)

Use for scoped tasks that don't need the full /dev ceremony. Scout the relevant code first, then act with surgical, goal-driven changes.

Token foundation (mandatory)

/dev, /fix, and /quick all share the same 11-capability token-saving stack — only pipeline depth differs. Full reference: ~/Agents/docs/token-foundation.md. Stack: graph-first (codebase-memory-mcp), speculative Scout → verify (SCOUT schema, two-model routing), Karpathy guardrails, layered guardrails (guardrails-taxonomy.md), context-economy read policy, security-guard.py hooks, .ai/state checkpoints, /compact between phases, /handoff on tool switch, optional context-mode + token-optimizer-mcp, caveman default output. For /quick, Scout IS Phase 1 (built-in, always first); Act is Phase 2.

Default output

Caveman/lean style by default. See ~/Agents/agents/caveman.md and ~/Agents/agents/context-economy.md. /normal or /lean off restores verbose.

Source of truth

  • ~/Agents/commands/quick.md
  • ~/Agents/agents/karpathy-guardrails.md
  • Project overrides in .ai/skills/ and repo AGENTS.md (if present)

Token foundation (mandatory — both phases)

  • Graph-first: codebase-memory-mcp (searchgraph → tracepath → getcodesnippet) before any Grep/Read
  • Speculative context: Scout IS Phase 1 (cheap model); emit SCOUT: schema; verify before Act
  • Layered guardrails: security-guard.py (input) → scope lock (SCOUT Goal:) → karpathy-guardrails (Act) → context budget
  • Context economy: always on; state saved at Checkpoint B
  • Two-model routing: Scout on haiku/mini; Act on sonnet/opus
  • See: ~/Agents/docs/token-foundation.md

Workflow summary

  1. Scout — graph-first discovery before touching anything:
  • Graph MCP (codebase-memory-mcp): list_projectssearch_graphtrace_pathget_code_snippet
  • Fallback: git diff --name-only, targeted grep, slice-reads
  • Emit and verify SCOUT: schema (Goal / Status / Constraints verbatim / Files / Call chain / Next action / Tests / Risks)
  1. Act — implement with Karpathy guardrails:
  • Think Before Coding: Scout verified before any edit
  • Simplicity First: fewest files, smallest change
  • Surgical Changes: diff-sized edits only, no unrelated reformats
  • Goal-Driven Execution: every edit traces to the Goal line; stop when done
  1. Write/update .ai/state/AI_STATE...md at Checkpoint B and after Act

When to use /quick vs /fix vs /dev

| Command | Use when | |---|---| | /quick | Scoped task, any type — you want scout-first + guardrails without full ceremony | | /fix | Pure bug — you need TDD reproduce-fail-fix cycle + security review | | /dev | Multi-phase feature, refactor, or anything needing brainstorm + design spec |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.