scrutiny

scrutiny is a skill for Claude Code, Codex from dinglebear-ai/dendrite. It costs 74 tokens per session (577 once invoked), scanned C, original, AGPL-3.0.

A disk-health monitoring skill for reading Scrutiny data about hard drives and SSDs.

In plain words
What is it for?
Checking whether drives are healthy, finding SMART errors, viewing temperatures, and investigating disk failures.
Why use it?
It helps you spot failing storage, SMART errors, unsafe temperatures, and other drive-status problems without reading the monitoring data manually.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the scrutiny plugin — 1 skill shipped together

Good fit Checking whether drives are healthy, finding SMART errors, viewing temperatures, and investigating disk failures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dinglebear-ai/dendrite/scrutiny
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 dinglebear-ai/dendrite --skill scrutiny
Clone the repo
git clone --depth 1 https://github.com/dinglebear-ai/dendrite

Made for: Claude Code, Codex.

Or install scrutiny, the plugin that ships this one along with the rest of its 1 skill.

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 scrutiny

README.md
[![agentmods](https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/scrutiny.svg)](https://agentmods.dev/skills/dinglebear-ai/dendrite/scrutiny)
Your own site
<a href="https://agentmods.dev/skills/dinglebear-ai/dendrite/scrutiny"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/scrutiny.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 577 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 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 $0.00074 $0.00577
Opus 5 $0.00037 $0.00289
Sonnet 5 $0.00015 $0.00115
Haiku 4.5 $0.00007 $0.00058

Measured 7d ago against content hash ff57884d81cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade C, and why

scrutiny scanned grade C 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 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

| List monitored devices | `curl -sS "$SCRUTINY_URL/api/summary" \| python3 -c 'import sys,json;print(*json.load(sys.stdin)["data"]["summary"].keys(),sep="\n")'` |

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| Health | `curl -sS "$SCRUTINY_URL/api/health" -w '\nHTTP %{http_code}\n'` |
plugins/scrutiny/skills/scrutiny/SKILL.md · 53 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 53 lines · 74 tokens per session scan C ff57884d81cd

Subscribe to this mod's changes

scrutiny is a skill published in the GitHub repository dinglebear-ai/dendrite (1 stars, last pushed 11d ago), licensed AGPL-3.0. It adds 74 tokens to every session and 577 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

lov-migrate-camera-media

A macOS workflow for copying photos and videos from a camera or memory card to an SSD. It preserves the card's directory structure and checks copied files with SHA-256 hashes, a way to compare exact file contents.

lovstudio/skills · 86 tokens

computer-vision-expert

SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.

agent-skills-hub/agent-skills-hub · 40 tokens

it-infrastructure-equipment-selection

Portable IT infrastructure solution architect skill for selecting, sizing, validating and budgeting physical infrastructure equipment. Use for guided requirement discovery, scenario-based planning, equipment selection, BOM generation, tender/RFQ compliance and specification generation, project infrastructure planning…

wanghao-io/it-infrastructure-equipment-selection-skill · 111 tokens

ros-robotics

A guide for developing, moving, building, and debugging robot software with ROS 1 or ROS 2, the open-source frameworks commonly used to connect robot components.

wzyn20051216/ros-robotics-skill · 84 tokens

arm-cortex-expert

Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep expertise in memory barriers, DMA/cache coherency, interrupt-driven I/O, and…

agent-skills-hub/agent-skills-hub · 72 tokens

meteocontrol-assistant

Specialized assistant for monitoring and analyzing solar installations via the MeteoControl VCOM API. Use it to troubleshoot production drops, triage alerts, and generate system reports.

nielsvbrecht/meteocontrol-mcp · 40 tokens