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 skills/kastalien-research/thoughtbox/tastenpx skills add Kastalien-Research/thoughtbox --skill tastegit 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/skills/kastalien-research/thoughtbox/taste)<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>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 5.1 | $0.00030 | $0.00474 |
| Opus 5 | $0.00015 | $0.00237 |
| Sonnet 5 | $0.00006 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
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.
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.
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.
- 6d ago First seen · 59 lines · 30 tokens per session scan A 6841aee3990c
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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