"algo-mfg-fmea"

"algo-mfg-fmea" is a skill for Claude Code from charlieviettq/awesome-agent-skill. It costs 73 tokens per session (1,192 once invoked), scanned A, a copy of algo-mfg-fmea, MIT.

A Failure Mode and Effects Analysis, or FMEA, for listing how a product or process could fail, what would happen, why it could happen, and what controls exist. It scores risks to help decide which actions deserve attention first.

In plain words
What is it for?
Use it when designing products or processes, prioritizing corrective actions, or documenting risks for automotive and medical-device quality work.
Why use it?
It turns vague concerns about things going wrong into a structured risk list with clear priorities. This supports preventive work before failures reach customers.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when designing products or processes, prioritizing corrective actions, or documenting risks for automotive and medical-device quality work.

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Install with agentmods
npx agentmods add skills/charlieviettq/awesome-agent-skill/algo-mfg-fmea
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 charlieviettq/awesome-agent-skill --skill algo-mfg-fmea
Clone the repo
git clone --depth 1 https://github.com/charlieviettq/awesome-agent-skill

Made for: Claude Code.

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 "algo-mfg-fmea"

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-mfg-fmea/github.svg)](https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-mfg-fmea)
Your own site
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-mfg-fmea"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-mfg-fmea/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 "algo-mfg-fmea"

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/algo-mfg-fmea"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/algo-mfg-fmea.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,192 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 92% copy Near-identical to another mod 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 $0.00073 $0.01192
Opus 5 $0.00036 $0.00596
Sonnet 5 $0.00015 $0.00238
Haiku 4.5 $0.00007 $0.00119

Measured 12d ago against content hash 35ff81be6069, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

"algo-mfg-fmea" 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.

Origin

This is a copy

92% identical to algo-mfg-fmea — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/algo-mfg-fmea/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FMEA (Failure Mode and Effects Analysis)

Overview

FMEA systematically identifies potential failure modes, their effects, causes, and current controls. Each failure is scored on Severity (S), Occurrence (O), and Detection (D) on 1-10 scales. RPN = S × O × D prioritizes which risks to address first. AIAG-VDA FMEA (2019) replaces RPN with Action Priority (AP) matrix.

When to Use

Trigger conditions:

  • Designing new products/processes and identifying risks proactively
  • Systematically evaluating existing failure modes for prioritization
  • Meeting automotive (IATF 16949) or medical device (ISO 13485) quality requirements

When NOT to use:

  • For root cause analysis of a known problem (use fishbone/5-why)
  • For statistical analysis of defect data (use SPC or Pareto)

Algorithm

IRON LAW: Severity Can NEVER Be Reduced by Design Changes
Severity is determined by the EFFECT on the customer. A brake failure
is always severity 10, regardless of how unlikely or detectable it is.
FMEA reduces risk by: lowering Occurrence (better design/process) or
improving Detection (better testing/inspection). NEVER inflate
Detection scores to lower RPN artificially.

Phase 1: Input Validation

Define scope: Design FMEA (DFMEA) or Process FMEA (PFMEA). Assemble cross-functional team. Prepare: process flow diagram or system block diagram. Gate: Scope defined, team assembled, reference diagrams available.

Phase 2: Core Algorithm

  1. List all potential failure modes for each function/process step
  2. For each failure mode, identify: effect on customer, root cause(s), current prevention controls, current detection controls
  3. Score: Severity (1-10), Occurrence (1-10), Detection (1-10)
  4. Classic RPN: RPN = S × O × D. Prioritize high RPNs.
  5. AIAG-VDA AP: Use the S-O-D combination matrix to assign Action Priority: High, Medium, Low.
  6. Define recommended actions for High-priority items with responsibility and target dates

Phase 3: Verification

Review: are all functions/steps covered? Do severity scores match actual customer impact? Are detection scores realistic (not overly optimistic)? Gate: Complete coverage, realistic scoring, actions assigned for high-priority items.

Read the full file on GitHub · 89 lines

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. 12d ago First seen · 89 lines · 73 tokens per session scan A 35ff81be6069

Subscribe to this mod's changes

"algo-mfg-fmea" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (25 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,192 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to algo-mfg-fmea, differing in 8 lines, and is treated as a copy.

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