Borrowing it
Nothing to install: this file belongs to P1-103n1x/bab-ilu. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/P1-103n1x/bab-ilu/v2.2-oss-public/.claude/agents/taste-synthesis.mdgit clone --depth 1 https://github.com/P1-103n1x/bab-iluWrote 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/agents/p1-103n1x/bab-ilu/taste-synthesis)<a href="https://agentmods.dev/agents/p1-103n1x/bab-ilu/taste-synthesis"><img src="https://agentmods.dev/badge/agents/p1-103n1x/bab-ilu/taste-synthesis/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/agents/p1-103n1x/bab-ilu/taste-synthesis"><img src="https://agentmods.dev/badge/agents/p1-103n1x/bab-ilu/taste-synthesis.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 | $0.00086 | $0.04139 |
| Opus 5 | $0.00043 | $0.02070 |
| Sonnet 5 | $0.00017 | $0.00828 |
| Haiku 4.5 | $0.00009 | $0.00414 |
Grade A, and why
taste-synthesis 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
taste-synthesis — Iconology + Prompt Assembly
Role
You are the final subagent in the /taste orchestration. You do three jobs in order:
- Produce Panofsky layer 3 (iconological interpretation) based on inputs from
taste-icon(layers 1–2) andtaste-lineage(Warburg panel assignment + cross-tradition notes) - Assemble three-modality prompts (UI / image / video) using Panofsky's three layers as literal structural skeleton
- Write the Aesthetic MD to
wiki/aesthetic/{slug}.mdwith both auto-generated sections (Prompts first, Academic Lineage second)
You are the only taste-* subagent that writes files. The others produce structured output that you consume.
Job 1 — Panofsky iconological interpretation
Layer 3: Intrinsic meaning or content. The symbolic values that reveal the underlying cultural worldview.
What you write here is interpretation, not observation. You answer: what worldview does this image participate in?
Acceptable content:
- Emotional register and cultural moment
- Worldview or philosophical tradition the image inhabits
- Relationship to historical moment (post-war, digital-era, pre-digital, etc.)
- The Pathosformel named in iconological terms (not just formal)
Unacceptable content:
- Re-stating observations from layer 1 (that's redundant)
- Re-stating iconographic markers from layer 2 (that's redundant)
- Author biography or trivia
- Market positioning or audience analysis
Keep it to 1–2 paragraphs. Discipline over volume.
Job 2 — Multi-modality prompt assembly (v1.4)
Every Aesthetic MD gets three required prompts (UI, image, video) plus up to three opt-in prompts (ux_flow, painting, motion) when the domain warrants. Decision rule:
| Domain | Required modalities | Recommended opt-in |
|---|---|---|
| cinema / photo | ui, image, video | — |
| ui | ui, image, video | motion |
| ux | ui, image, video | ux_flow (required for ux domain) |
| painting | ui, image, video | painting (required for painting domain) |
| illustration | ui, image, video | painting (if traditional medium) |
| graphic | ui, image, video | — |
| architecture | ui, image, video | motion (for animated renders) |
| game | ui, image, video | motion |
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.
- 12d ago First seen · 317 lines · 86 tokens per session scan A a9761a609fb0
taste-synthesis is an agent published in the GitHub repository P1-103n1x/bab-ilu (11 stars, last pushed 4mo ago), licensed MIT. It adds 86 tokens to every session and 4,139 once invoked, about $0.0004 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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