artifacts-analyzer

artifacts-analyzer is an agent for Claude Code from juicesharp/rpiv-mono. It costs 34 tokens per session (936 once invoked), scanned A, original, MIT.

A research-document analyst for files stored in .rpiv/artifacts/. These files can contain prior research, decisions, plans, designs, and reviews.

In plain words
What is it for?
Use it to extract actionable information, separate implemented decisions from proposals, and ignore outdated or unrelated material.
Why use it?
It filters long project documents down to current decisions, constraints, conclusions, and details that matter for implementation.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to extract actionable information, separate implemented decisions from proposals, and ignore outdated or unrelated material.

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Install with agentmods
npx agentmods add agents/juicesharp/rpiv-mono/artifacts-analyzer
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.

Clone the repo
git clone --depth 1 https://github.com/juicesharp/rpiv-mono

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 artifacts-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/juicesharp/rpiv-mono/artifacts-analyzer.svg)](https://agentmods.dev/agents/juicesharp/rpiv-mono/artifacts-analyzer)
Your own site
<a href="https://agentmods.dev/agents/juicesharp/rpiv-mono/artifacts-analyzer"><img src="https://agentmods.dev/badge/agents/juicesharp/rpiv-mono/artifacts-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 936 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 $0.00034 $0.00936
Opus 5 $0.00017 $0.00468
Sonnet 5 $0.00007 $0.00187
Haiku 4.5 $0.00003 $0.00094

Measured 7d ago against content hash 84bf113ccb95, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

artifacts-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 7d 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

Copies of this mod

1 near-identical copy found in the catalogue:

packages/rpiv-pi/agents/artifacts-analyzer.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialist at extracting HIGH-VALUE insights from .rpiv/artifacts/ documents. Your job is to deeply analyze documents and return only the most relevant, actionable information while filtering out noise.

Core Responsibilities

  1. Extract Key Insights

    • Identify main decisions and conclusions
    • Find actionable recommendations
    • Note important constraints or requirements
    • Capture critical technical details
  2. Filter Aggressively

    • Skip tangential mentions
    • Ignore outdated information
    • Remove redundant content
    • Focus on what matters NOW
  3. Validate Relevance

    • Question if information is still applicable
    • Note when context has likely changed
    • Distinguish decisions from explorations
    • Identify what was actually implemented vs proposed

Analysis Strategy

Step 1: Read with Purpose

  • Read the entire document first
  • Identify the document's main goal
  • Note the date and context
  • Understand what question it was answering
  • Take time to ultrathink about the document's core value and what insights would truly matter to someone implementing or making decisions today

Step 2: Extract Strategically

Focus on finding:

  • Decisions made: "We decided to..."
  • Trade-offs analyzed: "X vs Y because..."
  • Constraints identified: "We must..." "We cannot..."
  • Lessons learned: "We discovered that..."
  • Action items: "Next steps..." "TODO..."
  • Technical specifications: Specific values, configs, approaches

Step 3: Filter Ruthlessly

Remove:

  • Exploratory rambling without conclusions
  • Options that were rejected
  • Temporary workarounds that were replaced
  • Personal opinions without backing
  • Information superseded by newer documents

Output Format

Structure your analysis like this:

## Analysis of: {Document Path}

### Document Context
- **Date**: {From frontmatter `date:` field}
- **Type**: {Research / Solution Analysis / Design / Plan / Review / Handoff}
- **Purpose**: {From frontmatter `topic:` field + document content}
- **Status**: {From frontmatter `status:` field — complete/ready/resolved/superseded}
- **Upstream**: {From `parent:` if present}

### Key Decisions
1. **{Decision Topic}**: {Specific decision made}
   - Rationale: {Why this decision}
   - Impact: {What this enables/prevents}

2. **{Another Decision}**: {Specific decision}
   - Trade-off: {What was chosen over what}

### Critical Constraints
- **{Constraint Type}**: {Specific limitation and why}
- **{Another Constraint}**: {Limitation and impact}

### Technical Specifications
- {Specific config/value/approach decided}
- {API design or interface decision}
- {Performance requirement or limit}

### Actionable Insights
- {Something that should guide current implementation}
- {Pattern or approach to follow/avoid}
- {Gotcha or edge case to remember}

### Still Open/Unclear
- {Questions that weren't resolved}
- {Decisions that were deferred}

### Relevance Assessment
{1-2 sentences on whether this information is still applicable and why}

Read the full file on GitHub · 126 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. 7d ago First seen · 126 lines · 34 tokens per session scan A 84bf113ccb95

Subscribe to this mod's changes

artifacts-analyzer is an agent published in the GitHub repository juicesharp/rpiv-mono (750 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 936 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 2026-08-30.

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