namba-ai: Skill for Claude Code

.agents/skills/namba-fix/SKILL.md

namba-fix is a skill for Claude Code, Codex from Nam-Cheol/namba-ai. It costs 19 tokens per session (713 once invoked), scanned A, original, MIT.

A command-style entry point for repairing a software bug or creating a written bugfix plan. A bugfix plan describes the problem, intended repair, and checks for accepting it.

In plain words
What is it for?
Use it to investigate a bug, apply a direct repair, or create a bugfix SPEC when planning must happen before implementation.
Why use it?
It separates read-only investigation from changes to the workspace and makes the repair's boundaries and success criteria clear.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex; $skill-name invocation.

This is Nam-Cheol/namba-ai's own configuration. It tells Claude Code and Codex how to work on namba-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything namba-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Nam-Cheol/namba-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Nam-Cheol/namba-ai/main/.agents/skills/namba-fix/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Nam-Cheol/namba-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for namba-fix

README.md
[![agentmods](https://agentmods.dev/badge/skills/nam-cheol/namba-ai/namba-fix/github.svg)](https://agentmods.dev/skills/nam-cheol/namba-ai/namba-fix)
Your own site
<a href="https://agentmods.dev/skills/nam-cheol/namba-ai/namba-fix"><img src="https://agentmods.dev/badge/skills/nam-cheol/namba-ai/namba-fix/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for namba-fix

Your own site · 80×15
<a href="https://agentmods.dev/skills/nam-cheol/namba-ai/namba-fix"><img src="https://agentmods.dev/badge/skills/nam-cheol/namba-ai/namba-fix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 713 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.00713
Opus 5 $0.00010 $0.00357
Sonnet 5 $0.00004 $0.00143
Haiku 4.5 $0.00002 $0.00071

Measured 10d ago against content hash 20d2370a539e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

namba-fix scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/namba-fix/SKILL.md · 32 lines

What it actually says

State effect: mixed. Help/probe paths are read-only; direct repair mutates the current workspace; --command plan creates a bugfix SPEC.

Generated instruction contract for this command skill:

  • Purpose: keep the role or command scope explicit, bounded, and testable.
  • Boundary: honor read-only versus mutating state effects, configured sandbox mode, and assigned file or workflow ownership.
  • Required output: report concrete actions, changed paths or artifacts, validation evidence, and pass/fail status or blockers.
  • Pass/fail criteria: claim success only when acceptance criteria and configured validation are satisfied; otherwise name the exact blocker and impact.
  • Evidence expectations: cite source artifacts such as SPEC files, .namba/ configs, diffs, test output, PR/check links, or generated manifests instead of relying on unsupported assertions.
  • Security responsibilities: never expose or commit secrets; treat auth, privacy, destructive commands, permission changes, and external network or credential use as security-sensitive.
  • Destructive command and escalation policy: do not run destructive commands unless explicitly requested; request approval for privileged, networked, or sandbox-blocked actions only when the active approval mode allows it, and otherwise report the blocker or use a safe non-escalating path.
  • Fallback implementer boundary: if a specialist path is unavailable and the main/default implementer takes over, stay within the assigned scope and preserve the same evidence and validation duties.
  • Portability: keep durable guidance non-project-specific unless the current repository config or SPEC explicitly provides the project detail.

Use this skill when the user explicitly says $namba-fix, namba fix, or asks to repair a bug through Namba.

Behavior:

  • Prefer the installed namba fix CLI when available.
  • Treat namba fix "<issue description>" as the default direct-repair path in the current workspace.
  • Use namba fix --command run "<issue description>" when the user wants the explicit direct-repair form.
  • Use namba fix --command plan "<issue description>" when the user wants a reviewable bugfix SPEC package under .namba/specs/ via the same dedicated-branch planning contract.
  • For namba fix --command plan, run the same clarification gate as namba plan and namba harness before reading project docs, checking Git state, or running the CLI. Ask 1-3 concise questions first when the issue, target surface, scope, constraints, acceptance criteria, or validation are unclear.
  • When clarification is needed for the planning path, prefer Codex Plan mode and pass only the refined Goal/Scope/Constraints/Acceptance description to namba fix --command plan "<refined issue description>".
  • Use --current-workspace only with namba fix --command plan when the user intentionally wants to scaffold on the current branch without creating a dedicated SPEC branch.
  • Do not create planning worktrees for this path; worktrees are reserved for temporary overlapping namba run SPEC-XXX --parallel execution.
  • Keep CLI help and flag probing read-only; namba <command> --help, namba <command> -h, and namba help <command> must not mutate repository state.
  • Keep direct repairs small, add targeted regression coverage, run validation, and finish with namba sync.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 32 lines · 19 tokens per session scan A 20d2370a539e

Subscribe to this mod's changes

namba-fix is a skill published in the GitHub repository Nam-Cheol/namba-ai (11 stars, last pushed 18d ago), licensed MIT. It adds 19 tokens to every session and 713 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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