Borrowing it
Nothing to install: this file belongs to jordanurbs/venice-video-harness. 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/jordanurbs/venice-video-harness/main/.agents/skills/shot-composition/SKILL.mdgit clone --depth 1 https://github.com/jordanurbs/venice-video-harnessWrote 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/jordanurbs/venice-video-harness/shot-composition)<a href="https://agentmods.dev/skills/jordanurbs/venice-video-harness/shot-composition"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/shot-composition/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/jordanurbs/venice-video-harness/shot-composition"><img src="https://agentmods.dev/badge/skills/jordanurbs/venice-video-harness/shot-composition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.01607 |
| Opus 5.5 | $0.00000 | $0.00643 |
| Sonnet 5.5 | $0.00000 | $0.00321 |
| Haiku 4.5 | $0.00000 | $0.00161 |
Grade A, and why
shot-composition 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 2mo 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shot Composition Skill
Description
Plan cinematic shot lists for screenplay scenes, determining shot types, camera angles, movements, and lens choices for each beat.
Read the scene's dramatic function first
Shot type, angle, movement, and lens are consequences, not starting points. Before you pick from the tables below, name what the beat is doing (a reveal, a goodbye, a power flip, a lie) and its one intention. A reveal is not framed, lit, blocked, or moved like a goodbye — derive the coverage from the intention instead of defaulting to "coverage that looks cinematic." Hold one directorial voice across the scene.
When the Seedance 2.0 Skill OS is installed (.agents/skills/seedance-20/), load directing-engine for the derivation method, and use retake-protocol (triage the verdict, change one variable, keep an attempt budget) and continuation-handoff (direct the next beat from accepted footage, not the original plan) when iterating. See this repo's README "Directing layer."
Shot Types
| Type | Use Case | Lens |
|---|---|---|
| extreme-wide | Establishing shots, epic scope | 14-24mm |
| wide | Full scene context, group shots | 24-35mm |
| medium-wide | Character in environment | 35-50mm |
| medium | Standard coverage, two-shots | 50mm |
| medium-close-up | Dialogue singles, OTS | 50-85mm |
| close-up | Emotional reactions, intensity | 85-135mm |
| extreme-close-up | Details, tension, key moments | 100mm+ macro |
| insert | Props, hands, objects, text | 50-100mm macro |
Camera Angles
- eye-level: Neutral, standard coverage
- low-angle: Power, dominance, heroic
- high-angle: Vulnerability, surveillance, overview
- dutch-angle: Unease, disorientation, tension
- birds-eye: God's eye view, scale, pattern
- worms-eye: Extreme vulnerability, towering presence
Camera Movements
- static: Standard locked-off shot
- pan: Horizontal sweep, following action or revealing
- tilt: Vertical movement, revealing height or scope
- dolly: Moving toward/away, intensifying or withdrawing
- tracking: Lateral movement alongside subject
- crane: Sweeping vertical + horizontal, epic establishing
- handheld: Urgency, documentary feel, chaos
- rack-focus: Shifting attention between depth planes
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.
- 2mo ago First seen · 123 lines · 0 tokens per session scan A 703b0e007f9e
shot-composition is a skill published in the GitHub repository jordanurbs/venice-video-harness (33 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,607 tokens. 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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