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 document-and-video-intelligencegit 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/document-and-video-intelligence)<a href="https://agentmods.dev/skills/jxoesneon/ciel/document-and-video-intelligence"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/document-and-video-intelligence/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/document-and-video-intelligence"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/document-and-video-intelligence.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 | $0.00022 | $0.00530 |
| Opus 5 | $0.00011 | $0.00265 |
| Sonnet 5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
document-and-video-intelligence 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: Doc & Video Intelligence (Nutrient & Manim)
This skill formalizes document processing and technical visualization. it prioritizes data integrity and visual clarity.
Document Processing (Nutrient)
- Conversion: Use for high-fidelity PDF/DOCX/HTML conversion. Mandate
output: { "type": "docx" }for tabular recovery. - OCR: Use on all scanned PDFs. specify
language: "eng"orfrato improve extraction accuracy. - Redaction (Hard Gate): Mandate pattern-based redaction (
social-security-number,email-address) before any PII-bearing doc is shared or archived.
Technical Explainers (Manim)
- Visual Thesis: Define one sentence that the animation MUST prove.
- Scene Discipline: 3-6 scenes max. Use "Progressive Reveal" to prevent screen clutter.
- Network Graphs: Distinguish low-signal clutter from high-signal "Bridge" nodes using color coding.
- Render Loop: Smoke test at
ql(low quality) first. Render final atqh(high quality) ONLY after timing approval.
Integrated Workflow
- Extract table from PDF (Nutrient).
- Transform table into metric progression (Python).
- Animate metric progression (Manim).
Anti-Patterns
- Silent Redaction Failure: Assuming a doc is safe because it was "converted" without an explicit redaction step.
- The 10-Minute Render: Running high-quality Manim renders on untested code.
- Visual Noise: Adding motion to Manim objects just to "keep the screen busy."
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 · 51 lines · 22 tokens per session scan A ad0e18226163
document-and-video-intelligence is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed 4d ago), licensed Apache-2.0. It adds 22 tokens to every session and 530 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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