conversation-analyzer

conversation-analyzer is an agent for Claude Code from neuradex/sna. It costs 0 tokens per session (1,265 once invoked), scanned D, original, no licence file.

An agent for examining conversations, including user messages and how tools were used. It also creates regular-expression patterns, which are text-matching rules, and groups findings by severity.

In plain words
What is it for?
It is for finding user-reported issues, spotting tool-usage patterns, creating matching rules, and producing results in a required format.
Why use it?
It helps turn a large set of conversations into consistent findings instead of reviewing every message manually. Its description does not specify how severity is defined.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the hookify plugin — 1 skill, 4 commands, 1 agent shipped together

Good fit It is for finding user-reported issues, spotting tool-usage patterns, creating matching rules, and producing results in a required format.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/neuradex/sna/conversation-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/neuradex/sna

Made for: Claude Code.

Or install hookify, the plugin that ships this one along with the rest of its 1 skill, 4 commands, 1 agent.

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 conversation-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/neuradex/sna/conversation-analyzer/github.svg)](https://agentmods.dev/agents/neuradex/sna/conversation-analyzer)
Your own site
<a href="https://agentmods.dev/agents/neuradex/sna/conversation-analyzer"><img src="https://agentmods.dev/badge/agents/neuradex/sna/conversation-analyzer/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 conversation-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/agents/neuradex/sna/conversation-analyzer"><img src="https://agentmods.dev/badge/agents/neuradex/sna/conversation-analyzer.svg" alt="Reviewed on agentmods" width="80" 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 1,265 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00000 $0.01265
Opus 5.5 $0.00000 $0.00506
Sonnet 5.5 $0.00000 $0.00253
Haiku 4.5 $0.00000 $0.00127

Measured 2mo ago against content hash 535ec8acb55b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade D, and why

conversation-analyzer scanned grade D with 2 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 2mo 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- Dangerous commands (rm -rf, chmod 777)

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- Dangerous commands (rm -rf, chmod 777)
packages/core/.sna/mock-claude-config/plugins/marketplaces/claude-plugins-official/plugins/hookify/agents/conversation-analyzer.md · 177 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 177 lines · 0 tokens per session scan D 535ec8acb55b

Subscribe to this mod's changes

conversation-analyzer is an agent published in the GitHub repository neuradex/sna (2 stars, last pushed 5mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,265 tokens. A static security scan graded it D with 2 findings (asks for root, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

Explore

Fast agent specialized for exploring codebases. Use this when you need to quickly find files by patterns (eg. "src/components//.tsx"), search code for keywords (eg. "API endpoints"), or answer questions about the codebase (eg. "how do API endpoints work?"). When calling this agent, specify the desired thoroughness…

rojim666/SztuCode · 0 tokens

reviewer-performance

Use this agent when you need to analyze code for performance issues, optimize algorithms, identify bottlenecks, or ensure scalability. This includes reviewing database queries, memory usage, caching strategies, and overall system performance. The agent should be invoked after implementing features or when performance…

wsauret/flywheel · 345 tokens

test-designer

Test design specialist agent. Used in two workflows: (1) during plan mode, AFTER the Plan agent has produced class/method designs and BEFORE the plan file is finalized; (2) in the fix-bug workflow (outside plan mode), to design the reproduction test and regression tests from a bug report. Takes requirements (feature…

nowsprinting/unity-coding-skills · 161 tokens

test-deduplicator

Duplicate test removal agent. Use in Step 4 (Refactoring) of the development workflow. Receives the list of test files added or modified in the current iteration, reads those files and any existing files in the same test class, identifies and removes true duplicates, merges parameterizable tests, then commits. Returns…

nowsprinting/unity-coding-skills · 83 tokens

social-strategist

Social media and distribution specialist. Use this agent to engineer distribution, draft Twitter/LinkedIn threads, and manage the social media distribution of new features. It focuses on the "Distribution" aspect of the Agentic Company pipeline.

galyarderlabs/galyarder-framework · 50 tokens

mach12:code-explorer

Deeply analyzes existing codebase behavior, data flow, algorithms, side effects, and issue-specific patterns to inform new development.

LeanAndMean/scramjet · 31 tokens