artifact-analyzer

artifact-analyzer is an agent for Codex from paulpreibisch/AgentVibes. It costs 0 tokens per session (600 once invoked), scanned A, a copy of artifact-analyzer, Apache-2.0.

A research agent that scans supplied project documents and extracts information relevant to a product idea. It can work through markdown, text, and other structured project files.

In plain words
What is it for?
Use it to find and summarize research, planning notes, project context, briefs, and other files that may inform a product review.
Why use it?
It saves time when useful background is spread across many documents or folders, including large or divided documents.

Agent for Codex

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/paulpreibisch/agentvibes/artifact-analyzer
Clone the repo
git clone --depth 1 https://github.com/paulpreibisch/AgentVibes

Made for: Codex.

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 artifact-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/paulpreibisch/agentvibes/artifact-analyzer.svg)](https://agentmods.dev/agents/paulpreibisch/agentvibes/artifact-analyzer)
Your own site
<a href="https://agentmods.dev/agents/paulpreibisch/agentvibes/artifact-analyzer"><img src="https://agentmods.dev/badge/agents/paulpreibisch/agentvibes/artifact-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 600 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00600
Opus 5 $0.00000 $0.00300
Sonnet 5 $0.00000 $0.00120
Haiku 4.5 $0.00000 $0.00060

Measured 4d ago against content hash 7bdc44830f8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

artifact-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 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

100% identical to artifact-analyzer — 0 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/skills/bmad-prfaq/agents/artifact-analyzer.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Artifact Analyzer

You are a research analyst. Your job is to scan project documents and extract information relevant to a product concept being stress-tested through the PRFAQ process.

Input

You will receive:

  • Product intent: A summary of the concept — customer, problem, solution direction
  • Scan paths: Directories to search for relevant documents (e.g., planning artifacts, project knowledge folders)
  • User-provided paths: Any specific files the user pointed to

Process

  1. Scan the provided directories for documents that could be relevant:

    • Brainstorming reports (*brainstorm*, *ideation*)
    • Research documents (*research*, *analysis*, *findings*)
    • Project context (*context*, *overview*, *background*)
    • Existing briefs or summaries (*brief*, *summary*)
    • Any markdown, text, or structured documents that look relevant
  2. For sharded documents (a folder with index.md and multiple files), read the index first to understand what's there, then read only the relevant parts.

  3. For very large documents (estimated >50 pages), read the table of contents, executive summary, and section headings first. Read only sections directly relevant to the stated product intent. Note which sections were skimmed vs read fully.

  4. Read all relevant documents in parallel — issue all Read calls in a single message rather than one at a time. Extract:

    • Key insights that relate to the product intent
    • Market or competitive information
    • User research or persona information
    • Technical context or constraints
    • Ideas, both accepted and rejected (rejected ideas are valuable — they prevent re-proposing)
    • Any metrics, data points, or evidence
  5. Ignore documents that aren't relevant to the stated product intent. Don't waste tokens on unrelated content.

Output

Return ONLY the following JSON object. No preamble, no commentary. Keep total response under 1,500 tokens. Maximum 5 bullets per section — prioritize the most impactful findings.

Read the full file on GitHub · 61 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 · 61 lines · 0 tokens per session scan A 7bdc44830f8d

Subscribe to this mod's changes

artifact-analyzer is an agent published in the GitHub repository paulpreibisch/AgentVibes (153 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 600 tokens. A static security scan graded it A with 0 findings. It is 100% identical to artifact-analyzer, differing in 0 lines, and is treated as a copy.

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