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SKILL verified MIT Self-run

Aicrew Fix

skill-aksoftcode-aicrew-aicrew-fix · by AKSoftCode

Run the aicrew /fix fast bug fix flow in Codex (triage -> root cause -> TDD -> verify).

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Install

$ agentstack add skill-aksoftcode-aicrew-aicrew-fix

✓ 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 /fix (Codex)

Use for fast bug fixes. This mirrors the /fix command but runs inline in Codex.

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 /fix, Scout opens Phase 1 Bug Analysis before the bug-analyst deep dive.

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/fix.md
  • Project overrides in .ai/skills/ and repo AGENTS.md (if present)

Token foundation (mandatory — all phases):

  • Graph-first: codebase-memory-mcp (searchgraph → tracepath → getcodesnippet) before any file read
  • Speculative context: Scout pass at start of Phase 1 Bug Analysis; emit SCOUT: schema; verify before bug-analyst deep dive
  • Layered guardrails: security-guard.py (input) → karpathy-guardrails (Phase 2 implement) → security-reviewer (Phase 4)
  • Context economy: always on; slice reads only during Scout
  • Two-model routing: Scout on haiku/mini; fix on sonnet
  • See: ~/Agents/docs/token-foundation.md

Workflow summary:

  1. Ask the 3 clarifying questions (symptom, expected behavior, repro).
  2. Scout pass (graph-first) → emit SCOUT: schema → verify → bug-analyst deep trace → confirm root cause.
  3. Load karpathy-guardrails; write the smallest failing test or reproducible check.
  4. Implement the minimal fix to make it pass.
  5. Run targeted tests + smoke path.
  6. Security review on changed files.
  7. Conclude with summary, tests run, and any risks.

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.

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