namba-ai: Skill for Claude Code

.agents/skills/namba-review-resolve/SKILL.md

namba-review-resolve is a skill for Claude Code, Codex from Nam-Cheol/namba-ai. It costs 22 tokens per session (743 once invoked), scanned A, original, MIT.

A command-style workflow for resolving review comments on a GitHub pull request, including tracking the state of each discussion thread.

In plain words
What is it for?
Use it to inspect review feedback, make the required fixes, update discussion threads, and report changed files and validation results.
Why use it?
It keeps review fixes organized and records what changed, what was checked, and any remaining blockers.

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-review-resolve/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-review-resolve

README.md
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Your own site
<a href="https://agentmods.dev/skills/nam-cheol/namba-ai/namba-review-resolve"><img src="https://agentmods.dev/badge/skills/nam-cheol/namba-ai/namba-review-resolve/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-review-resolve

Your own site · 80×15
<a href="https://agentmods.dev/skills/nam-cheol/namba-ai/namba-review-resolve"><img src="https://agentmods.dev/badge/skills/nam-cheol/namba-ai/namba-review-resolve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 743 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 $0.00022 $0.00743
Opus 5 $0.00011 $0.00371
Sonnet 5 $0.00004 $0.00149
Haiku 4.5 $0.00002 $0.00074

Measured 12d ago against content hash b693fcacc30d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

namba-review-resolve 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 12d 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-review-resolve/SKILL.md · 33 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-review-resolve, asks to resolve review comments, or uses Korean wording equivalent to 리뷰 확인하고 의미있는 리뷰면 수정 후에 해당 리뷰에 답변을 달고, resolve한 다음 다시 리뷰 요청해.

Behavior:

  • Resolve the target PR from the current branch when the user does not provide a PR number.
  • Discover unresolved review threads with thread identity, path, comments, authors, resolved state, and outdated state, not just flat PR comments. Prefer a thread-aware GitHub path such as gh api graphql when the connector surface cannot expose review-thread state directly.
  • Classify each thread as meaningful/actionable or non-actionable. Meaningful threads cover correctness, tests, security, UX, docs, release, regression, and maintainability concerns that require a concrete change or precise answer.
  • Assign an explicit outcome to every reviewed thread: fixed-and-resolved, answered-open, or skipped-with-rationale.
  • Implement meaningful fixes in the smallest coherent patch, then run the configured validation commands before replying or resolving.
  • Record changed paths, commit or diff summary when available, validation evidence, and CI/check evidence when the review feedback or PR health depends on failing checks.
  • Inspect PR check status before re-requesting review; for failing GitHub Actions checks, include run URLs and bounded failure snippets, and for external checks report status plus details URL only.
  • Reply on the original thread with the concrete change made plus validation and relevant CI/check evidence, then resolve only the threads that were fixed or conclusively answered.
  • Leave non-actionable threads open unless they were genuinely answered. Never silently resolve a thread that was not addressed.
  • Re-request review only after all meaningful threads are addressed, validation passes, PR check state is understood, and the configured @codex review marker is present exactly once.
  • Treat flat PR comments as PR-level context only; use thread-aware review data for the actual resolution loop.
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. 12d ago First seen · 33 lines · 22 tokens per session scan A b693fcacc30d

Subscribe to this mod's changes

namba-review-resolve is a skill published in the GitHub repository Nam-Cheol/namba-ai (11 stars, last pushed 19d ago), licensed MIT. It adds 22 tokens to every session and 743 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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