davinci-resolve-mcp: Instructions file for GitHub Copilot

.github/instructions/resolve-fusion.instructions.md

davinci-resolve-mcp resolve-fusion.instructions.md is an instructions file for GitHub Copilot from mrsuber/davinci-resolve-mcp. It costs 241 tokens per session, scanned A, a copy of davinci-resolve-mcp resolve-fusion.instructions.md, MIT.

Fusion composition instructions for DaVinci Resolve. Fusion is Resolve’s workspace for titles, animation, visual effects, and node-based image processing.

In plain words
What is it for?
Creating or editing titles, motion graphics, visual effects, merges, masks, and tracking setups.
Why use it?
They provide a controlled way to create and check compositions before applying changes to a live project. They also account for differences in available tools and inputs.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions Claude Code; mentions AGENTS.md.

This is mrsuber/davinci-resolve-mcp's own configuration. It tells GitHub Copilot how to work on davinci-resolve-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything davinci-resolve-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mrsuber/davinci-resolve-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mrsuber/davinci-resolve-mcp/main/.github/instructions/resolve-fusion.instructions.md
Clone the repo
git clone --depth 1 https://github.com/mrsuber/davinci-resolve-mcp

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for davinci-resolve-mcp resolve-fusion.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mrsuber/davinci-resolve-mcp/resolve-fusion/github.svg)](https://agentmods.dev/instructions/mrsuber/davinci-resolve-mcp/resolve-fusion)
Your own site
<a href="https://agentmods.dev/instructions/mrsuber/davinci-resolve-mcp/resolve-fusion"><img src="https://agentmods.dev/badge/instructions/mrsuber/davinci-resolve-mcp/resolve-fusion/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.

agentmods 80×15 button for davinci-resolve-mcp resolve-fusion.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/mrsuber/davinci-resolve-mcp/resolve-fusion"><img src="https://agentmods.dev/badge/instructions/mrsuber/davinci-resolve-mcp/resolve-fusion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 241 This file is loaded in full into every session.
When invoked 241 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00241 $0.00241
Opus 5 $0.00120 $0.00120
Sonnet 5 $0.00048 $0.00048
Haiku 4.5 $0.00024 $0.00024

Measured 8d ago against content hash f5659f79331c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

davinci-resolve-mcp resolve-fusion.instructions.md 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.

Origin

This is a copy

100% identical to davinci-resolve-mcp resolve-fusion.instructions.md — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/instructions/resolve-fusion.instructions.md · 15 lines

What it actually says

Resolve Fusion Composition work. Apply when: building or editing Fusion comps — titles, motion graphics, VFX, merges, masks, trackers.

Two servers — compute offline, apply live:

  • Live (running Resolve, davinci-resolve): fusion_comp (probe_fusion_comp, safe_add_tool, safe_set_inputs, safe_connect_tools)
  • Offline (.drp/.drt/.drx + DB, no Resolve, davinci-resolve-advanced): fusion (generate, generate_from_template, list_templates, to_api_calls)
  • Key rule: Author/verify the .comp offline, then apply live (to_api_calls maps onto safe_add_tool -> safe_set_inputs -> safe_connect_tools). Probe first — tool availability and input readability vary by build; bulk mutation needs timeline scope.

Depth: docs/kernels/fusion-composition-kernel.md. On-demand in any MCP client: the /fusion_workflow slash prompt. Claude Code skill: resolve-fusion. Never modify/transcode/derive source media (AGENTS.md).

Changes

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.

  1. 8d ago First seen · 15 lines · 241 tokens per session scan A f5659f79331c

Subscribe to this mod's changes

davinci-resolve-mcp resolve-fusion.instructions.md is an instructions file published in the GitHub repository mrsuber/davinci-resolve-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 241 tokens to every session, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to davinci-resolve-mcp resolve-fusion.instructions.md, differing in 2 lines, and is treated as a copy.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens