thoughtbox:research

thoughtbox:research is a skill for Claude Code from Kastalien-Research/thoughtbox. It costs 51 tokens per session (1,417 once invoked), scanned A, original, MIT.

A structured research process for investigating a question with Thoughtbox and available search tools. It alternates between forming an idea, retrieving information, and updating the answer, while recording the research context and constraints.

In plain words
What is it for?
Use it for investigations, literature reviews, and questions that require gathering and combining information from multiple sources.
Why use it?
It gives research a repeatable structure and keeps evidence gathering connected to the question. It also makes limitations clear when search tools are unavailable.

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 for investigations, literature reviews, and questions that require gathering and combining information from multiple sources.

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Install with agentmods
npx agentmods add skills/kastalien-research/thoughtbox/thoughtbox-research
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-research
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:research

README.md
[![agentmods](https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/thoughtbox-research.svg)](https://agentmods.dev/skills/kastalien-research/thoughtbox/thoughtbox-research)
Your own site
<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/thoughtbox-research"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/thoughtbox-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,417 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 $0.00051 $0.01417
Opus 5 $0.00026 $0.00709
Sonnet 5 $0.00010 $0.00283
Haiku 4.5 $0.00005 $0.00142

Measured 8d ago against content hash 2070b9ad1fed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

thoughtbox:research 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-research/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research this topic using Thoughtbox IRCoT: $ARGUMENTS

Protocol References

  • Cipher notation for long sessions: thoughtbox://cipher
  • IRCoT pattern background: thoughtbox://interleaved/research

Phase 1: Setup

Create a Thoughtbox session and assess available tools.

// thoughtbox_execute
async () => {
  await tb.thought({
    thought: "Research question: $ARGUMENTS. Available search tools: [list from ToolSearch]. Strategy: breadth-first scan, then depth on promising leads.",
    thoughtType: "context_snapshot",
    nextThoughtNeeded: true,
    thoughtNumber: 1,
    totalThoughts: 30,
    sessionTitle: "Research: $ARGUMENTS",
    sessionTags: ["research"],
    contextData: {
      toolsAvailable: [],
      constraints: ["primary sources preferred"]
    }
  });
}

Steps:

  1. Use ToolSearch to discover available search tools (Exa, WebSearch, WebFetch, Grep, Read).
  2. Record thought 1 as context_snapshot: state the research question, available tools, constraints.
  3. If no search tools are available, note the limitation and rely on codebase/knowledge graph only.

Phase 2: IRCoT Loop (Think, Search, Integrate, Repeat)

Run this cycle until the question is answered or no productive search avenues remain.

2a: Reason

Record a reasoning thought: what do I need to find out next? What gaps remain?

// thoughtbox_execute
async () => {
  await tb.thought({
    thought: "Gap: I know X but not Y. Next search: [specific query]. Rationale: [why this fills the gap].",
    thoughtType: "reasoning",
    nextThoughtNeeded: true,
    thoughtNumber: N,
    totalThoughts: 30
  });
}

2b: Search

Use the best available tool for the current sub-question:

  • Exa / WebSearch: external knowledge, recent publications, API docs
  • Grep / Glob / Read: codebase evidence, local files, prior research
  • Knowledge graph: tb.knowledge.searchEntities() for prior Thoughtbox findings

2c: Integrate

Record findings as a reasoning thought with evidence references. Include source URLs or file paths.

Read the full file on GitHub · 199 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 · 199 lines · 51 tokens per session scan A 2070b9ad1fed

Subscribe to this mod's changes

thoughtbox:research is a skill published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,417 once invoked, about $0.0003 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.