nba

nba is a skill for Claude Code, Codex from LilMGenius/paperthin. It costs 72 tokens per session (511 once invoked), scanned A, original, MIT.

A state-reading guide that identifies one highest-priority next action in an ongoing project. It uses the project’s current phase, notes, files, recent changes, and quality checks to choose that action.

In plain words
What is it for?
Deciding what to do next between project phases such as planning, building, testing, revising, and shipping.
Why use it?
It helps when several tasks seem valid, work has stalled, or the project has lost direction. It returns one action rather than a list of competing options.

Skill for Claude CodeCodex

Part of the paperthin plugin — 28 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/lilmgenius/paperthin/nba
Any agent
npx skills add LilMGenius/paperthin --skill nba
Clone the repo
git clone --depth 1 https://github.com/LilMGenius/paperthin

Made for: Claude Code, Codex.

Or install paperthin, the plugin that ships this one along with the rest of its 28 skills.

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 nba

README.md
[![agentmods](https://agentmods.dev/badge/skills/lilmgenius/paperthin/nba.svg)](https://agentmods.dev/skills/lilmgenius/paperthin/nba)
Your own site
<a href="https://agentmods.dev/skills/lilmgenius/paperthin/nba"><img src="https://agentmods.dev/badge/skills/lilmgenius/paperthin/nba.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 511 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00072 $0.00511
Opus 5 $0.00036 $0.00255
Sonnet 5 $0.00014 $0.00102
Haiku 4.5 $0.00007 $0.00051

Measured 4d ago against content hash ca95493abdbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

nba 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 4d 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.

skills/coil/nba/SKILL.md · 38 lines

What it actually says

Find the next best action from state, not from vibes.

Goal

nba is the manual re-entry point for a stalled cycle. It reads the current state and returns one action: the cheapest move that clears the binding constraint. It does not execute the action and it does not offer a menu, because a menu recreates the paralysis it exists to resolve.

Workflow

  1. Read the live cycle state: plan gates, re0-memo anti-patterns, priority notes, recent git/file changes, QA evidence, and the current workflow phase.
  2. Locate the project in the cycle: FRAME, BUILD, DRIVE, RE0-MEMO, HATE, RE0-WORK, BUILD AGAIN, or SHIP.
  3. Diagnose the blank-out cause: too many open threads, lost thread, unnamed blocker, closed-loop fatigue, avoidance of the hard step, or a phase that is already done.
  4. Return one action: the cheapest move that clears the most. It may name the right skill for the human to fire, the external input needed, the first nail to test, or the phase transition that is already due.
  5. Frame it as: where you are, next best action, why now, and done when.

Rules

  • One action, not a checklist.
  • State-grounded, never generic. Cite the gate, doc, evidence, or file state that drives the pick.
  • Return the avoided move, not the easy busywork.
  • If no outside truth is entering, the next action is external input, not another internal lap.
  • If the gate is already met, the action is to move phase or ship, not add another surface.
  • Read-only on the project. nba recommends; it does not execute.
  • Do not auto-invoke user-only skills. Tell the human when one is the next move.

Verification

Before finishing:

  1. The recommendation cites the state it read.
  2. There is exactly one next action.
  3. The action has a clear "done when" observable.
  4. A reader can tell why this action beats the other visible options.
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. 4d ago First seen · 38 lines · 72 tokens per session scan A ca95493abdbc

Subscribe to this mod's changes

nba is a skill published in the GitHub repository LilMGenius/paperthin (1,054 stars, last pushed 16d ago), licensed MIT. It adds 72 tokens to every session and 511 once invoked, about $0.0004 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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