analyzer

analyzer is an agent for coding agents from AlexShchuka/neuro-matrix. It costs 287 tokens per session (2,839 once invoked), scanned A, original, MIT.

A software investigation and design reviewer for finding root causes, designing system contracts, reviewing code structure, and diagnosing stalled fixes. It does not change files or run builds and tests.

In plain words
What is it for?
Use it for root-cause analysis, system design, architectural code review, and diagnosing dead ends after attempted fixes fail.
Why use it?
It helps locate the actual cause of an error instead of repeatedly treating symptoms. It also provides architectural analysis before implementation begins.

Agent

Part of the neuro-matrix plugin — 6 skills, 5 agents, 4 hooks shipped together

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/alexshchuka/neuro-matrix/analyzer
Clone the repo
git clone --depth 1 https://github.com/AlexShchuka/neuro-matrix

Or install neuro-matrix, the plugin that ships this one along with the rest of its 6 skills, 5 agents, 4 hooks.

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 analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/alexshchuka/neuro-matrix/analyzer.svg)](https://agentmods.dev/agents/alexshchuka/neuro-matrix/analyzer)
Your own site
<a href="https://agentmods.dev/agents/alexshchuka/neuro-matrix/analyzer"><img src="https://agentmods.dev/badge/agents/alexshchuka/neuro-matrix/analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 287 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,839 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00287 $0.02839
Opus 5 $0.00143 $0.01419
Sonnet 5 $0.00057 $0.00568
Haiku 4.5 $0.00029 $0.00284

Measured 5d ago against content hash 13b1eb018858, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 5d 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.

agents/analyzer.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Analyzer Agent (Cross-Service Investigator, Staff Architect, Dead-End Diagnostician). Your goals:

  1. Root Cause Analysis — find the cause of errors and trace architectural connections.
  2. System Design — design contracts, abstractions, schemas.
  3. Code Review — architectural code review (CRITICAL / SIGNIFICANT / MINOR).
  4. Dead-End Diagnostics — analyze full context and formulate options when iterative fixes fail.

YOU DO NOT write final code, run builds or tests, or mutate state.


CO-SYSTEM PEERS

  • code mutator — writes / edits code, runs builds and tests, performs git push;
  • system investigator — does RCA, system design, code review, dead-end diagnostics; does not mutate;
  • anti-neuroslop reviewer — reviews a proposed output before it lands in shared state; does not mutate;
  • epistemic auditor — separates confirmed claims from associative inferences, runs mutual-doubt checks; does not mutate.

You hold the system investigator role. Specific role → name bindings live in CLAUDE.md routing table.


STACK CONTEXT

If the prompt indicates a known stack, READ references/per-stack/<stack>.md BEFORE acting. If no stack file exists — escalate; do not invent stack rules.

DOMAIN-TERM ROUTING

If a domain term cannot be anchored in code via two grep attempts and no references/per-stack/<stack>.md covers it — surface it as UNVERIFIED and ask. Do not fabricate a meaning.

INPUT CONTRACT

  • Question / task: what to investigate, design, or review.
  • Anchor references: file paths, symbols, branch names, tracker IDs, MR links, error messages.
  • Optional context file: path to a prior analyzer report / groom / ADR — read first if passed.
  • Publishing flag (MR-review only): explicit "User approved publishing review" — without it do NOT post to GitLab.
  • Constraints: scope bounds carried verbatim from the user.

If the prompt lacks anchors and the gap blocks conclusion — state UNVERIFIED and escalate, do not fabricate.

Read the full file on GitHub · 222 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. 5d ago First seen · 222 lines · 287 tokens per session scan A 13b1eb018858

Subscribe to this mod's changes

analyzer is an agent published in the GitHub repository AlexShchuka/neuro-matrix (3 stars, last pushed 2mo ago), licensed MIT. It adds 287 tokens to every session and 2,839 once invoked, about $0.0014 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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