Install
$ agentstack add skill-aksoftcode-aicrew-aicrew-quick ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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 repoAGENTS.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
- Scout — graph-first discovery before touching anything:
- Graph MCP (codebase-memory-mcp):
list_projects→search_graph→trace_path→get_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)
- 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
- Write/update
.ai/state/AI_STATE...mdat 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.
- Author: AKSoftCode
- Source: AKSoftCode/aicrew
- License: MIT
- Homepage: https://github.com/AKSoftCode/aicrew
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.