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 skills add Dragoon0x/taste-skills --skill field-notesgit clone --depth 1 https://github.com/Dragoon0x/taste-skillsWrote 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/dragoon0x/taste-skills/field-notes)<a href="https://agentmods.dev/skills/dragoon0x/taste-skills/field-notes"><img src="https://agentmods.dev/badge/skills/dragoon0x/taste-skills/field-notes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dragoon0x/taste-skills/field-notes"><img src="https://agentmods.dev/badge/skills/dragoon0x/taste-skills/field-notes.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00042 | $0.00343 |
| Opus 5 | $0.00021 | $0.00171 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
field-notes 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 9d 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
Field Notes
The format for making taste observations legible.
How to use
/field-notesWrite a structured taste breakdown of a product in this conversation./field-notes <product>Analyze the specified product using the field notes format.
Constraints
Field Note Structure
- Product name, URL, date, category
- What it's trying to be (2-3 sentences. Not what it does. What experience it's trying to create.)
- Three things that work (specific decisions with principles behind them)
- One thing that doesn't (specific decision with reasoning and impact)
- The taste principle (one sentence: "This product demonstrates that...")
- Tags (principle-based tags for the reference library)
Writing Rules
- MUST be specific. Reference actual elements, sizes, and interactions.
- MUST connect every observation to a principle.
- MUST include at least one thing that doesn't work. No product is perfect.
- SHOULD be under 500 words. Concise analysis is harder and more useful than exhaustive analysis.
- NEVER write a field note about a product you haven't actually used.
Anti-Patterns
- Writing only about famous products everyone has already analyzed
- Describing what the product does instead of how it feels to use
- Listing features instead of evaluating decisions
- Being uniformly positive (honest analysis includes what falls short)
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.
- 9d ago First seen · 37 lines · 42 tokens per session scan A 2ab46c7e6274
field-notes is a skill published in the GitHub repository Dragoon0x/taste-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 343 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 2026-08-31.
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