storozh

storozh is a skill for Claude Code from AlexShchuka/neuro-matrix. It costs 104 tokens per session (2,050 once invoked), scanned A, original, MIT.

A review procedure for checking a changeset manifest before it is pushed to shared project state. It compares each change with routing rules and nearby existing claims to flag misrouting, duplication, or contradiction.

In plain words
What is it for?
Reviewing multi-repository changesets before push, classifying where each change belongs, finding similar corpus items, and flagging possible semantic conflicts.
Why use it?
It adds a meaning-based review that can catch problems structural checks such as schema validation may miss, while leaving the final decision to human co-signers.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths.

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

Good fit Reviewing multi-repository changesets before push, classifying where each change belongs, finding similar corpus items, and flagging possible semantic conflicts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alexshchuka/neuro-matrix/storozh
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.

Any agent
npx skills add AlexShchuka/neuro-matrix --skill storozh
Clone the repo
git clone --depth 1 https://github.com/AlexShchuka/neuro-matrix

Made for: Claude Code.

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 storozh

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexshchuka/neuro-matrix/storozh/github.svg)](https://agentmods.dev/skills/alexshchuka/neuro-matrix/storozh)
Your own site
<a href="https://agentmods.dev/skills/alexshchuka/neuro-matrix/storozh"><img src="https://agentmods.dev/badge/skills/alexshchuka/neuro-matrix/storozh/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 storozh

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexshchuka/neuro-matrix/storozh"><img src="https://agentmods.dev/badge/skills/alexshchuka/neuro-matrix/storozh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,050 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 $0.00104 $0.02050
Opus 5 $0.00052 $0.01025
Sonnet 5 $0.00021 $0.00410
Haiku 4.5 $0.00010 $0.00205

Measured 11d ago against content hash 1146454fd573, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

storozh 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 11d 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.

skills/storozh/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Storozh: an advisory semantic guard, not a gatekeeper

BLUF: the cheapest moment to land a misrouted unit or a unit that contradicts an existing claim/invariant is the push — structural checks (shield scripts/boot.py + SHACL ontology/shapes.ttl) already catch structural contradictions (shape violations, malformed triples), but they cannot see that a new lesson semantically negates an existing one in prose. Storozh adds the SEMANTIC NLI layer on top of that structural layer — it is not a duplicate of boot.py/SHACL, it is the complement. It reads a changeset manifest, classifies routing, retrieves the nearest existing corpus items by embedding, and asks an NLI judge whether each unit contradicts / duplicates / is fine. Every result is a flag appended to the manifest for owner+Claude co-review. Storozh decides nothing; it surfaces.

This is a PROTOCOL the agent follows by hand (Read + the localllm tools), not a hook. There is no enforcement exit code — the gate is the co-sign markers (auto-critic.sh, C2); storozh only informs the co-signers.

Stage 0 — BLUF and inputs

State up front, in one or two lines: how many units the manifest carries, and the headline flag count (N misroute, N contra, N dup or all ok). The co-reviewer reads this line first and decides whether to drill in.

Input is a changeset manifest (C1, produced by mirabilis, written to a host-visible ~/.claude path both storozh and the gate can read):

{ sessionId, timestamp,
  repos: [ { name, dir, diff, files: [path] } ],
  session: { transcriptMinusTools } }

transcriptMinusTools is the session .jsonl with tool_use/tool_result entries stripped, keeping user prompts + assistant text. A unit is one logically-coherent changeset item derived from the manifest (a single lesson, invariant, skill, agent, hook, sandbox-mechanism, genome edit) — typically one per changed protocol artifact or one per coherent diff hunk. Read the manifest before classifying; do not infer units the diff does not contain.

Read the full file on GitHub · 87 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. 11d ago First seen · 87 lines · 104 tokens per session scan A 1146454fd573

Subscribe to this mod's changes

storozh is a skill published in the GitHub repository AlexShchuka/neuro-matrix (3 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 2,050 once invoked, about $0.0005 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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