shotgrid-users

shotgrid-users is a skill for Claude Code from dcc-mcp/dcc-mcp-fpt. It costs 39 tokens per session (323 once invoked), scanned A, original, MIT.

A ShotGrid identity tool for ShotGrid, a production-management system used in film, TV, and games, that reports which account and access level an agent is using without showing secrets.

In plain words
What is it for?
Use it to check the active ShotGrid profile, server, script name, and permission level before searches or data changes.
Why use it?
It prevents work from being performed under the wrong account or with unexpected permissions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to check the active ShotGrid profile, server, script name, and permission level before searches or data changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dcc-mcp/dcc-mcp-fpt/shotgrid-users
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.

Any agent
npx skills add dcc-mcp/dcc-mcp-fpt --skill shotgrid-users
Clone the repo
git clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-fpt

Made for: Claude Code.

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 shotgrid-users

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-users/github.svg)](https://agentmods.dev/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-users)
Your own site
<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-users"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-users/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 shotgrid-users

Your own site · 80×15
<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-users"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-fpt/shotgrid-users.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 323 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00039 $0.00323
Opus 5 $0.00019 $0.00161
Sonnet 5 $0.00008 $0.00065
Haiku 4.5 $0.00004 $0.00032

Measured 9d ago against content hash c74ab7801f02, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

shotgrid-users 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/whoami.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/dcc_mcp_fpt/skills/shotgrid-users/SKILL.md · 44 lines

What it actually says

ShotGrid Users

Eager-loaded at startup. Reports the effective ShotGrid identity — script name, server URL, permission level, and active credential profile — without ever exposing secrets.

Tools

Tool Intent
whoami Report effective credentials, permission level, and active profile

After Success

  • Agent sees the ShotGrid URL, script name, permission level, and which credential profile (if any) is active.
  • Agent can use this to confirm it is operating with the expected access level before running CRUD or search operations.

After Failure

  • If whoami returns authenticated: false, verify ShotGrid credentials in the profile or environment configuration.
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 44 lines · 39 tokens per session scan A c74ab7801f02

Subscribe to this mod's changes

shotgrid-users is a skill published in the GitHub repository dcc-mcp/dcc-mcp-fpt (1 stars, last pushed 15d ago), licensed MIT. It adds 39 tokens to every session and 323 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

maya-render

Pipeline stage — render globals, final-frame rendering, and viewport capture: configure render settings, query them, render frames, capture playblasts. Use for producing final or preview imagery. Not for modeling (maya-mesh-ops), animation editing (maya-animation), generic file import/export (maya-geometry), or render…

dcc-mcp/dcc-mcp-maya · 77 tokens

maya-scripting

Bootstrap stage — escape hatch for Maya work that has no packaged skill yet. Agents should prefer searchskills / dcccapabilitymanifest → loadskill → typed tools (inputSchema + annotations) from domain skills; use executepython or executemel only when no skill matches, for bulk in-process loops, or for API…

dcc-mcp/dcc-mcp-maya · 100 tokens

dcc-mcp-maya-setup

Set up dcc-mcp-maya for an agent or operator: install Maya Python dependencies with mayapy, generate MCP host configuration, guide the user through loading the Maya plugin, and run a first live-tool smoke prompt.

dcc-mcp/dcc-mcp-maya · 55 tokens

maya-import-to-scene

Pipeline stage — structured asset import. Consume an AssetDescriptor produced by maya-asset-source and import the asset (FBX, OBJ, USD) into the current Maya scene via cmds.file(). Handles axis/unit conversion, MaterialMode, PlacementHint, and optional target collection grouping. Returns an ImportToSceneResult with…

dcc-mcp/dcc-mcp-maya · 78 tokens

maya-asset-source

Pipeline stage — asset discovery and resolution. Search local asset libraries, resolve paths to structured AssetDescriptor records, and surface candidate assets for downstream import. Use before maya-import-to-scene to locate what to import.

dcc-mcp/dcc-mcp-maya · 50 tokens

maya-mock-async

Synthetic async skill for gateway integration tests. Sleeps for N seconds and reports progress every 500 ms. No actual Maya installation required — uses MayaStandaloneDispatcher.

dcc-mcp/dcc-mcp-maya · 37 tokens