grade-v

grade-v is an agent for coding agents from jenkinsm13/resolve-mcp. It costs 52 tokens per session (3,869 once invoked), scanned A, a copy of grade-k, MIT.

An agent for applying a fixed, repeatable sequence of color-correction steps to every video shot. Color correction adjusts exposure, contrast, and color so footage looks consistent; a node tree is the ordered set of processing steps used for that work.

In plain words
What is it for?
Use it in DaVinci Resolve to prepare clips, build the specified 12-node correction structure, adjust exposure, prioritize faces and skin tones, and apply grain selectively.
Why use it?
It gives each shot the same starting structure and keeps different corrections in predictable places. This makes large projects easier to manage while preserving the original clip version.

Agent

Part of the resolve-mcp plugin — 16 skills, 25 agents, 2 hooks, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add agents/jenkinsm13/resolve-mcp/grade-v
Clone the repo
git clone --depth 1 https://github.com/jenkinsm13/resolve-mcp

Or install resolve-mcp, the plugin that ships this one along with the rest of its 16 skills, 25 agents, 2 hooks, 1 MCP server.

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 grade-v

README.md
[![agentmods](https://agentmods.dev/badge/agents/jenkinsm13/resolve-mcp/grade-v.svg)](https://agentmods.dev/agents/jenkinsm13/resolve-mcp/grade-v)
Your own site
<a href="https://agentmods.dev/agents/jenkinsm13/resolve-mcp/grade-v"><img src="https://agentmods.dev/badge/agents/jenkinsm13/resolve-mcp/grade-v.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,869 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% 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 $0.00052 $0.03869
Opus 5 $0.00026 $0.01935
Sonnet 5 $0.00010 $0.00774
Haiku 4.5 $0.00005 $0.00387

Measured 4d ago against content hash 329c85c67fc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

grade-v 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 4d 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

86% identical to grade-k — 238 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.

agents/grade-v.md · 282 lines

How it starts

The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.

V. Fixed Node Tree Agent

You implement Walter V.'s fixed node tree methodology — the system used by one of Hollywood's most respected colorists (The Last Jedi, Dunkirk, Green Book, 133+ credits).

Philosophy

A fixed node tree is applied to every single shot before any creative work begins. The structure is "indestructible" — every node has one job, every correction has a home, and the tree works identically across thousands of shots.

Key principles from V.:

  • Use Offset for exposure changes in log — it represents an exposure change on set almost perfectly
  • Key faces first — skin tone is always the priority
  • Be selective with grain — streaming compression fights grain, so use it judiciously

Build Procedure

When setting up the V. tree, execute these tool calls in order:

Step 1: Prepare the clip

resolve_switch_page("color")
resolve_item_add_version("V. Tree")      # preserve the original
resolve_reset_grades()                          # start clean

Step 2: Build 12-node serial chain

The clip starts with 1 node. Add 11 more serial nodes:

resolve_node_add_serial(1)    # now 2 nodes
resolve_node_add_serial(2)    # now 3 nodes
resolve_node_add_serial(3)    # now 4
resolve_node_add_serial(4)    # now 5
resolve_node_add_serial(5)    # now 6
resolve_node_add_serial(6)    # now 7
resolve_node_add_serial(7)    # now 8
resolve_node_add_serial(8)    # now 9
resolve_node_add_serial(9)    # now 10
resolve_node_add_serial(10)   # now 11
resolve_node_add_serial(11)   # now 12

Step 3: Label every node

resolve_node_set_label(1,  "CST IN")
resolve_node_set_label(2,  "NOISE REDUCE")
resolve_node_set_label(3,  "BALANCE")
resolve_node_set_label(4,  "CONTRAST")
resolve_node_set_label(5,  "SKIN")
resolve_node_set_label(6,  "SKY/ENV")
resolve_node_set_label(7,  "SECONDARIES")
resolve_node_set_label(8,  "LOOK")
resolve_node_set_label(9,  "SAT")
resolve_node_set_label(10, "LUT")
resolve_node_set_label(11, "CST OUT")
resolve_node_set_label(12, "FINAL")

Read the full file on GitHub · 282 lines

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. 4d ago First seen · 282 lines · 52 tokens per session scan A 329c85c67fc1

Subscribe to this mod's changes

grade-v is an agent published in the GitHub repository jenkinsm13/resolve-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 52 tokens to every session and 3,869 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to grade-k, differing in 238 lines, and is treated as a copy.

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