namba-ai: Skill for Claude Code

.agents/skills/namba-plan-design-review/SKILL.md

namba-plan-design-review is a skill for Claude Code, Codex from Nam-Cheol/namba-ai. It costs 20 tokens per session (604 once invoked), scanned A, original, MIT.

A design review for checking a project specification before implementation begins.

In plain words
What is it for?
It is for reviewing a SPEC and writing review results and readiness summaries.
Why use it?
It can identify design problems or missing details early, before coding starts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents); $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-plan-design-review/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-plan-design-review

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

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Your own site · 80×15
<a href="https://agentmods.dev/skills/nam-cheol/namba-ai/namba-plan-design-review"><img src="https://agentmods.dev/badge/skills/nam-cheol/namba-ai/namba-plan-design-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 604 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 $0.00020 $0.00604
Opus 5.5 $0.00008 $0.00242
Sonnet 5.5 $0.00004 $0.00121
Haiku 4.5 $0.00002 $0.00060

Measured 2mo ago against content hash 606e85893bf5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

namba-plan-design-review 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 2mo 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-plan-design-review/SKILL.md · 31 lines

What it actually says

State effect: mutating review update. Writes SPEC review artifacts and readiness summaries.

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-plan-design-review or asks for a design review on a SPEC package.

Behavior:

  • Resolve the target SPEC from an explicit SPEC-XXX; otherwise use the latest SPEC under .namba/specs/.
  • Read .namba/specs/<SPEC>/spec.md, plan.md, and acceptance.md before writing review notes.
  • Update .namba/specs/<SPEC>/reviews/design.md with status, reviewer, findings, decisions, follow-ups, and recommendation.
  • Prefer namba-designer as the review role when subagent routing is appropriate.
  • Check art-direction clarity, palette temperature and undertone logic, restrained saturation, semantic component choice, anti-generic composition, meaningful motion, redesign of the most generic section when applicable, and anti-overcorrection safeguards.
  • Treat card, border, and grid usage as valid when they are justified; the regression target is default reliance or meaningless fallback use, not a categorical ban.
  • Reject both washed-out gray minimalism and novelty-for-novelty. Preserve accessibility, design-system fit, and implementation realism.
  • Refresh .namba/specs/<SPEC>/reviews/readiness.md so the advisory summary reflects the latest review state.
  • Keep the review advisory by default; surface missing depth or blockers clearly without silently turning the workflow into a hard gate.
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. 2mo ago First seen · 31 lines · 20 tokens per session scan A 606e85893bf5

Subscribe to this mod's changes

namba-plan-design-review is a skill published in the GitHub repository Nam-Cheol/namba-ai (11 stars, last pushed 12d ago), licensed MIT. It adds 20 tokens to every session and 604 once invoked, about $0.0001 per session on Opus 5.5. 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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