review-state

review-state is a skill for Claude Code, Codex from cruxible-ai/cruxible. It costs 34 tokens per session (1,650 once invoked), scanned A, original, Apache-2.0.

A review process for an existing Cruxible state, where a state is a governed collection of domain knowledge, relationships, queries, workflows, and evaluation results.

In plain words
What is it for?
Use it to inspect state health, representative queries, governed groups, feedback, outcomes, and the most important fixes.
Why use it?
It helps identify structural or behavioural problems before changing the configuration or graph.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect state health, representative queries, governed groups, feedback, outcomes, and the most important fixes.

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Install with agentmods
npx agentmods add skills/cruxible-ai/cruxible/review-state
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 cruxible-ai/cruxible --skill review-state
Clone the repo
git clone --depth 1 https://github.com/cruxible-ai/cruxible

Made for: Claude Code, 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 review-state

README.md
[![agentmods](https://agentmods.dev/badge/skills/cruxible-ai/cruxible/review-state/github.svg)](https://agentmods.dev/skills/cruxible-ai/cruxible/review-state)
Your own site
<a href="https://agentmods.dev/skills/cruxible-ai/cruxible/review-state"><img src="https://agentmods.dev/badge/skills/cruxible-ai/cruxible/review-state/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 review-state

Your own site · 80×15
<a href="https://agentmods.dev/skills/cruxible-ai/cruxible/review-state"><img src="https://agentmods.dev/badge/skills/cruxible-ai/cruxible/review-state.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,650 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.01650
Opus 5 $0.00017 $0.00825
Sonnet 5 $0.00007 $0.00330
Haiku 4.5 $0.00003 $0.00165

Measured 12d ago against content hash 76698f78bbb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

review-state 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 12d 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/review-state/SKILL.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review State

Use this skill on an existing state — the user's Crux — when the goal is diagnosis, quality review, or prioritizing follow-up work.

This skill is for:

  • finding structural or behavioral problems
  • inspecting representative queries and receipts
  • reviewing governed groups and their outputs
  • spotting repeated feedback or outcome patterns
  • telling the user what is wrong and what should be fixed next

This skill is not the main build flow. By default, review first and surface findings before changing config, workflows, or graph state.

Phase 1: Establish review scope

Start by identifying:

  1. what the user is worried about
  2. whether the review is about:
    • graph quality
    • governed relationships
    • query quality
    • feedback or outcome patterns
    • overall state health
  3. whether the state is a root state or an overlay
  4. which user-facing queries or downstream decisions matter most
  5. whether source files, prepared files, or prepare-data outputs are available for a source-to-state audit

Then inspect the current state:

cruxible state status
cruxible stats
cruxible evaluate

If the state is an overlay and the review is about overall health, local fit quality, or handoff readiness, include upstream pull compatibility in scope by default.

Phase 2: Inspect the most important surfaces

Work from the surfaces that actually affect users.

Workflows, providers, and implementation

If findings may come from how the state is built rather than only from final query outputs, inspect the implementation surfaces too:

  • canonical workflows
  • proposal workflows
  • providers
  • integrations
  • relevant config sections and provider code

Use this to answer:

  • is the bad behavior caused by graph shape, or by how workflows and providers are wired?
  • are canonical workflows writing only deterministic, trusted results?
  • are proposal workflows producing the right candidates, signals, and groups?
  • is the likely fix in config design, provider code, or workflow implementation?

Read the full file on GitHub · 226 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. 12d ago First seen · 226 lines · 34 tokens per session scan A 76698f78bbb4

Subscribe to this mod's changes

review-state is a skill published in the GitHub repository cruxible-ai/cruxible (17 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 1,650 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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