claude-scaffold: Agent for Claude Code

.claude/agents/multimodal-analyzer.md

multimodal-analyzer is an agent for Claude Code from pyramidheadshark/claude-scaffold. It costs 26 tokens per session (634 once invoked), scanned A, original, MIT.

A document and media analysis assistant that reads PDFs, Word files, spreadsheets, images, audio, and video to extract structured project requirements.

In plain words
What is it for?
Use it during project intake to review specifications, data samples, screenshots, diagrams, presentations, and process documentation.
Why use it?
It turns information spread across client documents and media into organized requirements, workflows, constraints, and data details for later design work.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions Claude Code.

This is pyramidheadshark/claude-scaffold's own configuration. It tells Claude Code how to work on claude-scaffold 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 claude-scaffold configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pyramidheadshark/claude-scaffold. 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/pyramidheadshark/claude-scaffold/main/.claude/agents/multimodal-analyzer.md
Clone the repo
git clone --depth 1 https://github.com/pyramidheadshark/claude-scaffold

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 multimodal-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/pyramidheadshark/claude-scaffold/multimodal-analyzer.svg)](https://agentmods.dev/agents/pyramidheadshark/claude-scaffold/multimodal-analyzer)
Your own site
<a href="https://agentmods.dev/agents/pyramidheadshark/claude-scaffold/multimodal-analyzer"><img src="https://agentmods.dev/badge/agents/pyramidheadshark/claude-scaffold/multimodal-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 634 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 $0.00026 $0.00634
Opus 5 $0.00013 $0.00317
Sonnet 5 $0.00005 $0.00127
Haiku 4.5 $0.00003 $0.00063

Measured 8d ago against content hash f71393097706, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

multimodal-analyzer 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.

.claude/agents/multimodal-analyzer.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent: multimodal-analyzer

Purpose

Analyzes multimodal inputs (PDF, Word, Excel, images, audio, video) using Gemini 3 Flash Preview via OpenRouter. Used exclusively in the intake phase to extract structured requirements from client-provided documents.

When to Use

When client provides documents and you need to extract: business requirements, data descriptions, existing workflows, constraints, or any information that will feed into the design document.

Model

google/gemini-3-flash-preview via OpenRouter. 1M token context — can handle entire document sets in a single call. Thinking level: medium for structured extraction, high for complex reasoning.

Workflow

Step 1: Inventory inputs

List all provided files and their types. Group by category:

  • Requirement documents (Word, PDF specs)
  • Data samples (Excel, CSV)
  • Visual materials (images, screenshots, diagrams)
  • Process documentation (flowcharts, presentations)

Step 2: Analyze each document

For each document, extract:

  • Main purpose of the document
  • Key entities / concepts mentioned
  • Workflows or processes described
  • Constraints or rules stated
  • Data formats and volumes mentioned
  • Ambiguities or contradictions

Step 3: Synthesize across documents

Produce a unified extraction:

  • Consolidated list of requirements (deduplicated)
  • Contradictions between documents (flag for human resolution)
  • Gaps — what is missing that a design doc needs

Step 4: Generate questions

From the gaps identified, produce the open questions list for sections 1.5 and 9 of the design doc.

Output Format

## Multimodal Analysis Results

### Documents Analyzed
- `{filename}` — {type} — {brief description}

### Extracted Requirements

**Business Requirements**
- {requirement}

**Data Requirements**
- {source}: {format}, {volume}, {description}

**User Roles**
- {role}: {description}

**Constraints**
- {constraint}

### Contradictions / Ambiguities
- {contradiction between doc A and doc B}

### Gaps (Missing Information)
- {what's needed but not provided}

### Generated Questions for Stakeholder
1. {specific answerable question}

Read the full file on GitHub · 93 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. 8d ago First seen · 93 lines · 26 tokens per session scan A f71393097706

Subscribe to this mod's changes

multimodal-analyzer is an agent published in the GitHub repository pyramidheadshark/claude-scaffold (4 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 634 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 2026-08-31.

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