taste

taste is a skill for Claude Code from Kastalien-Research/thoughtbox. It costs 30 tokens per session (474 once invoked), scanned A, original, MIT.

A review step for deciding whether a research proposal or technical direction is worth pursuing. It examines the idea’s clarity, surrounding work, likely failure modes, simpler alternatives, and expected learning from success or failure.

In plain words
What is it for?
Use it to sharpen a proposal, compare options, estimate when useful evidence may appear, find simpler versions, and decide whether to proceed, simplify, defer, or stop.
Why use it?
It helps avoid spending substantial research effort on vague, overly complex, or likely dead-end ideas.

Skill for Claude Code

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

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/kastalien-research/thoughtbox/taste
Any agent
npx skills add Kastalien-Research/thoughtbox --skill taste
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 taste

README.md
[![agentmods](https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/taste.svg)](https://agentmods.dev/skills/kastalien-research/thoughtbox/taste)
Your own site
<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/taste"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/taste.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 474 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 5.1 $0.00030 $0.00474
Opus 5 $0.00015 $0.00237
Sonnet 5 $0.00006 $0.00095
Haiku 4.5 $0.00003 $0.00047

Measured 6d ago against content hash 6841aee3990c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

taste 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 6d 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/taste/SKILL.md · 59 lines

What it actually says

Evaluate this research direction: $ARGUMENTS

Process

1. Determine Evaluation Depth

Based on the proposal, select the appropriate depth:

Situation Operations
Vague idea, needs sharpening Compression test only
Specific technical proposal Landscape + Dead-end estimation
Major resource commitment Full pipeline (all 6 operations)
Stuck, need fresh angles Cross-pollination only
Choosing between options Prediction query only

2. Run Operations (in order, skip per above)

Compression Test — Force into: "We believe [X] because [Y], and if we're right, [Z] follows." If it can't survive compression, verdict is defer.

Landscape Assessment — Use WebSearch and Exa (web_search_exa) to find adjacent work, abandoned approaches, new capabilities. What exists? What changed recently?

Prediction Query — Simulate success and failure worlds. Is the direction informative under both outcomes?

Dead-End Estimation — What's the most likely failure mode? What's the time-to-signal (not time-to-completion)?

Simplicity Audit — Is there an 80%-value simpler version? Apply recursively.

Cross-Pollination — Check against other domains. Structural resonance = real signal.

3. Stop Early

If the verdict becomes clear at any step, stop. Don't run more operations just to fill out the report.

4. Output

## Taste Evaluation: [Title]

**Verdict:** proceed | simplify | defer | kill
**Rationale:** [One sentence]
**Compression:** [Single-sentence formulation]
**Landscape:** [Position relative to existing work]
**Prediction:** Success -> [X] / Failure -> [Y]
**Time-to-signal:** [Estimate]
**Simplification:** [Cheaper version, if any]
**Cross-domain:** [Analogies, if checked]
**Next step:** [Concrete action]

Omit unchecked sections.

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. 6d ago First seen · 59 lines · 30 tokens per session scan A 6841aee3990c

Subscribe to this mod's changes

taste is a skill published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 474 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.

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