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.
npx agentmods add commands/kastalien-research/thoughtbox/overviewgit clone --depth 1 https://github.com/Kastalien-Research/thoughtboxWrote 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.
[](https://agentmods.dev/commands/kastalien-research/thoughtbox/overview)<a href="https://agentmods.dev/commands/kastalien-research/thoughtbox/overview"><img src="https://agentmods.dev/badge/commands/kastalien-research/thoughtbox/overview.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.02708 |
| Opus 5 | $0.00000 | $0.01354 |
| Sonnet 5 | $0.00000 | $0.00542 |
| Haiku 4.5 | $0.00000 | $0.00271 |
Grade A, and why
overview 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hypothesis-Driven Development: Complete Overview
What is Hypothesis-Driven Development?
Hypothesis-driven development (HDD) is a workflow that treats ADRs (Architecture Decision Records) as the source of truth rather than code. Before writing any code, we form testable hypotheses about what we expect to happen, document them in staging ADRs, implement, validate, and then either accept or reject based on whether reality matched our predictions.
Loop Building Blocks
The HDD workflow composes OODA loops across all 5 phases. See the unified /hdd command for the full loop architecture:
| Category | Loops | Reference |
|---|---|---|
| Exploration | problem-space, codebase-discovery, domain-research | @loops/exploration/ |
| Authoring | spec-drafting, code-generation | @loops/authoring/ |
| Refinement | requirement-quality, code-quality, consistency-check | @loops/refinement/ |
| Verification | acceptance-gate, integration-test | @loops/verification/ |
| Orchestration | queue-processor, spiral-detector, dependency-resolver | @loops/orchestration/ |
See @loops/README.md for the full loop library.
See .claude/commands/hdd/hdd.md for the executable unified command.
The Problem HDD Solves
Traditional development treats code as the source of truth, which creates problems:
- Agent collaboration is hard: Agents must infer intent from implementation details
- Change reasoning is opaque: Why decisions were made is lost after implementation
- Failed attempts are invisible: Teams repeat mistakes because failures aren't documented
- Architectural drift: The "why" behind decisions erodes over time
- Refactoring is risky: Without documented invariants, unclear what can change
Core Philosophy
Code is an Implementation Artifact
Code shows how something is done. ADRs explain:
- Why we chose this approach
- What alternatives we considered
- What outcomes we predicted
- Whether reality matched predictions
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.
- yesterday First seen · 373 lines · 0 tokens per session scan A d184ff0c599e
overview is a command published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,708 tokens. 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 2026-09-03.
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