thoughtbox:decision

thoughtbox:decision is a skill for Claude Code from Kastalien-Research/thoughtbox. It costs 45 tokens per session (1,055 once invoked), scanned A, original, MIT.

A structured decision process that explores several possible approaches in parallel and records the result in Thoughtbox, a tool for structured reasoning and connected knowledge. Each option is examined for evidence, advantages, disadvantages, risks, and dependencies.

In plain words
What is it for?
Use it to choose between technologies, designs, or implementation approaches and to compare their effects against stated constraints.
Why use it?
It makes trade-offs explicit instead of settling on the first plausible answer. It also preserves the reasoning so later decisions can build on it.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to choose between technologies, designs, or implementation approaches and to compare their effects against stated constraints.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kastalien-research/thoughtbox/thoughtbox-decision
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.

Any agent
npx skills add Kastalien-Research/thoughtbox --skill thoughtbox-decision
Clone the repo
git clone --depth 1 https://github.com/Kastalien-Research/thoughtbox

Made for: Claude Code.

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 thoughtbox:decision

README.md
[![agentmods](https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/thoughtbox-decision.svg)](https://agentmods.dev/skills/kastalien-research/thoughtbox/thoughtbox-decision)
Your own site
<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/thoughtbox-decision"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/thoughtbox-decision.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,055 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00045 $0.01055
Opus 5 $0.00023 $0.00528
Sonnet 5 $0.00009 $0.00211
Haiku 4.5 $0.00005 $0.00105

Measured 8d ago against content hash 3ff2c2d6dfcf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

thoughtbox:decision 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 8d 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/thoughtbox-decision/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use Thoughtbox branching to evaluate: $ARGUMENTS

Phase 1: Frame the Decision

  1. Create a session titled Decision: [topic].
  2. Record thought 1: state the decision clearly.
    • What are we choosing between?
    • What constraints apply?
    • What does success look like?
  3. Identify 2-4 distinct options (if not already provided by the user).

Phase 2: Branch and Explore

For each option, create a branch from thought 1 using branchFromThought and branchId. Within each branch, gather evidence, assess pros/cons, and identify risks using reasoning thoughts.

async () => {
  await tb.thought({
    thought: "Option A: PostgreSQL — ACID compliance, mature ecosystem, strong JSON support via jsonb",
    thoughtType: "reasoning",
    nextThoughtNeeded: true,
    thoughtNumber: 2,
    totalThoughts: 15,
    branchFromThought: 1,
    branchId: "postgresql"
  });
}

Each branch should contain at minimum:

  • Evidence: concrete facts supporting or undermining the option
  • Pros/cons: structured assessment against the stated constraints
  • Risks: what could go wrong, how recoverable is it
  • Dependencies: what else changes if we pick this option

Use external tools (Grep, Read, web search) to gather real evidence rather than reasoning from memory alone.

Phase 3: Cross-Verify

Compare branches pairwise:

  1. Where do options agree? (shared strengths indicate low-risk ground)
  2. Where do they contradict? (genuine tradeoffs to weigh)
  3. Which criteria does each option win on?
  4. Are any options strictly dominated? (worse on every axis — eliminate)

Record cross-verification as a reasoning thought on the main trunk (no branchId), referencing the branch thoughts by number.

See thoughtbox://guidance/parallel-verification for the parallel exploration pattern.

Phase 4: Converge

Record a decision_frame thought with confidence and options. Exactly one option must be selected: true.

async () => {
  await tb.thought({
    thought: "PostgreSQL wins: ACID required for financial data, jsonb handles semi-structured needs, team has existing expertise",
    thoughtType: "decision_frame",
    confidence: "high",
    options: [
      { label: "PostgreSQL", selected: true, reason: "ACID + jsonb + team expertise" },
      { label: "MongoDB", selected: false, reason: "Better schema flexibility but ACID trade-off unacceptable" },
      { label: "DynamoDB", selected: false, reason: "Vendor lock-in, team unfamiliar" }
    ],
    nextThoughtNeeded: false,
    thoughtNumber: 15,
    totalThoughts: 15
  });
}

Read the full file on GitHub · 130 lines

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. 8d ago First seen · 130 lines · 45 tokens per session scan A 3ff2c2d6dfcf

Subscribe to this mod's changes

thoughtbox:decision is a skill published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 1,055 once invoked, about $0.0002 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.