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 jxoesneon/Ciel --skill neural-intelligence-generationgit clone --depth 1 https://github.com/jxoesneon/CielWrote 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/jxoesneon/ciel/neural-intelligence-generation)<a href="https://agentmods.dev/skills/jxoesneon/ciel/neural-intelligence-generation"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/neural-intelligence-generation/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/jxoesneon/ciel/neural-intelligence-generation"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/neural-intelligence-generation.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 | $0.00020 | $0.00528 |
| Opus 5 | $0.00010 | $0.00264 |
| Sonnet 5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
neural-intelligence-generation 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 8d 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
CIEL ADAPTATION: Neural Intelligence (Exa & fal.ai)
This skill formalizes the use of neural search and generative media. it prioritizes high-signal retrieval and multimodal consistency.
Neural Search (Exa)
- Context First: Use
get_code_context_exafor API usage or library patterns. Target 3000-5000 tokens. - Signal Filter: Use
web_search_exawithcategory: "company"orresearch paperto filter noise. - Livecrawl: Default to
livecrawl: "fallback"to ensure current data for breaking news.
Generative Media (fal.ai)
- Image: Start with
nano-banana-2for iteration; switch tonano-banana-profor final high-fidelity assets. - Video: Use
seedance-1-0-profor text-to-video. Usekling-video/v3/proif native audio is required. - Consistency: Use the same
seedwhen iterating on prompt wording to maintain visual composition.
Multimodal Workflows
- Image-to-Video: Always upload the source image first, then pass the URL to the video model for controlled motion.
- Video-to-Audio: Use
thinksoundto generate ambient audio that matches the visual motion.
Anti-Patterns
- The 50-Result Dump: Requesting 50 Exa results without a specific filter, drowning in low-signal noise.
- Zero-Seed Drift: Iterating on a prompt without a seed, causing the visual style to jump radically between versions.
- Blind Generation: Running expensive video models without checking
estimate_costfirst.
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.
- 8d ago First seen · 49 lines · 20 tokens per session scan A afa8e0602ef3
neural-intelligence-generation is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed 4d ago), licensed Apache-2.0. It adds 20 tokens to every session and 528 once invoked, about $0.0001 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 2026-09-03.
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