namba-ai: Skill for Claude Code

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

namba-pr is a skill for Claude Code, Codex from Nam-Cheol/namba-ai. It costs 18 tokens per session (650 once invoked), scanned A, original, MIT.

A command-style workflow for preparing the current code branch for GitHub review. It requires bounded actions, security checks, concrete evidence, and clear pass or blocker reporting.

In plain words
What is it for?
Preparing changes for a pull request, collecting validation evidence, checking for secrets or unsafe operations, and reporting the exact files, artifacts, and review status involved.
Why use it?
It helps turn unfinished branch work into a reviewable change while making sure claims are supported by diffs, tests, configuration, or GitHub checks.

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-pr/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-pr

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/nam-cheol/namba-ai/namba-pr"><img src="https://agentmods.dev/badge/skills/nam-cheol/namba-ai/namba-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 650 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 $0.00018 $0.00650
Opus 5 $0.00009 $0.00325
Sonnet 5 $0.00004 $0.00130
Haiku 4.5 $0.00002 $0.00065

Measured 11d ago against content hash 16261f98c4fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

namba-pr 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 11d 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-pr/SKILL.md · 30 lines

What it actually says

State effect: mutating workflow entry point. Use help/probe paths read-only, and otherwise expect repository state or GitHub state to change.

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-pr, namba pr, or asks to hand off the current branch for review.

Behavior:

  • Use the configured PR base branch, PR language, and Codex review command from .namba/config/sections/git-strategy.yaml; let an explicit --language <en|ko|ja|zh> request override the configured PR language for that handoff.
  • Run namba sync and validation by default before creating review artifacts.
  • Build the PR body from concrete completed work, changed areas or files, evidence sources, validation results, and the latest SPEC review-readiness artifact when .namba/specs/<SPEC>/reviews/readiness.md exists.
  • PR bodies must avoid empty placeholder prose; cite source artifacts such as .namba/project/change-summary.md, .namba/project/pr-checklist.md, SPEC files, validation output, commits, or PR metadata when available.
  • Inspect current PR check status before review handoff; for failing GitHub Actions checks, capture run URLs and bounded GitHub Actions failure snippets, and report external checks by status and details URL only.
  • Commit and push the current work branch, create or reuse the GitHub PR, and do not request Codex review unless the user explicitly asked for --review.
  • When --review is present, ensure the configured Codex review marker exists exactly once.
  • Collaboration defaults: PRs target main, PR content is written in Korean, and @codex review is the explicit review request command.
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. 11d ago First seen · 30 lines · 18 tokens per session scan A 16261f98c4fa

Subscribe to this mod's changes

namba-pr is a skill published in the GitHub repository Nam-Cheol/namba-ai (11 stars, last pushed 18d ago), licensed MIT. It adds 18 tokens to every session and 650 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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