defect-detection

defect-detection is a skill for Claude Code, Codex from tinh2/skills-hub-registry. It costs 47 tokens per session (3,889 once invoked), scanned A, original, no licence file.

A skill for reviewing systems that find defects in manufactured products, including camera-based inspection and process-quality checks.

In plain words
What is it for?
Use it to examine inspection code, control charts, defect categories, process capability, root-cause analysis, and measurement systems.
Why use it?
It helps investigate missed defects, false rejections, unreliable measurements, and the causes of quality problems.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to examine inspection code, control charts, defect categories, process capability, root-cause analysis, and measurement systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tinh2/skills-hub-registry/defect-detection
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 tinh2/skills-hub-registry --skill defect-detection
Clone the repo
git clone --depth 1 https://github.com/tinh2/skills-hub-registry

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 defect-detection

README.md
[![agentmods](https://agentmods.dev/badge/skills/tinh2/skills-hub-registry/defect-detection/github.svg)](https://agentmods.dev/skills/tinh2/skills-hub-registry/defect-detection)
Your own site
<a href="https://agentmods.dev/skills/tinh2/skills-hub-registry/defect-detection"><img src="https://agentmods.dev/badge/skills/tinh2/skills-hub-registry/defect-detection/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 defect-detection

Your own site · 80×15
<a href="https://agentmods.dev/skills/tinh2/skills-hub-registry/defect-detection"><img src="https://agentmods.dev/badge/skills/tinh2/skills-hub-registry/defect-detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,889 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 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 $0.00047 $0.03889
Opus 5 $0.00023 $0.01945
Sonnet 5 $0.00009 $0.00778
Haiku 4.5 $0.00005 $0.00389

Measured 7d ago against content hash 34547dd20e08, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

defect-detection 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 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.

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.

analysis/defect-detection/SKILL.md · 382 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. 7d ago Changed · -20 tokens per session 34547dd20e08
  2. 10d ago First seen · 382 lines · 67 tokens per session scan A 18817e8152fb

Subscribe to this mod's changes

defect-detection is a skill published in the GitHub repository tinh2/skills-hub-registry (16 stars, last pushed 6d ago), with no licence file. It adds 47 tokens to every session and 3,889 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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