Hakim — AI skill for Claude Code
A judgment layer for AI coding agents: smaller safe changes, native host integrations, and evidence-bound completion claims.
How to install Hakim
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Habib1001-m/hakim and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Hakim does
A judgment layer for AI coding agents: smaller safe changes, native host integrations, and evidence-bound completion claims.
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README
Hakim (حَكِيم)
**A judgment layer for AI coding agents.**
Smaller changes. Safer actions. Claims backed by evidence.
**Public beta · `v1.0.0-beta.11` · MIT · Codex · Claude Code · GitHub Copilot CLI · OpenCode**
Hakim gives capable coding agents a compact engineering decision model before they start adding code, dependencies, abstractions, or confident completion claims.
It does **not** turn your agent into a workflow bot. The host still owns permissions, tools, sandboxing, trust prompts, and execution. Hakim focuses on one narrower problem: **better judgment about what should change, how much evidence is enough, and what the result actually proves.**
Why Hakim exists
AI coding agents are increasingly good at implementation. They can still make expensive judgment mistakes:
- adding a dependency when the platform already solves the problem;
- creating an abstraction before there is a real need for one;
- inspecting far more of the repository than the task requires;
- weakening a security, migration, rollback, or compatibility guard to make a change look simpler;
- declaring success from a green command that did not actually prove the user-visible result.
Hakim gives the agent a small decision ladder:
need?
→ reuse?
→ stdlib?
→ native platform?
→ accepted dependency?
→ smaller clear implementation?
→ minimum custom code
The goal is not the fewest lines. It is the **smallest sufficient safe change**.
What changes in practice
Without an explicit judgment layer, an agent may jump from a request directly to implementation.
With Hakim active, the agent is guided to answer a few higher-value questions first:
Do we need a change at all?
Can the repository or platform already do this?
What real guard must remain true?
What is the smallest coherent implementation?
What verification actually supports the complet
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