standards-expert

standards-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 50 tokens per session (3,023 once invoked), scanned A, original, Apache-2.0.

A guide to ISO standards and quality management systems, including ISO 9001 for quality and ISO 27001 for information security. It covers documented processes, audits, risks, corrective actions, and certification.

In plain words
What is it for?
Use it to perform gap analyses, define quality objectives, manage documents, prepare internal or certification audits, track corrective actions, and review management systems.
Why use it?
It helps organisations structure their work around recognised requirements and identify gaps before an external certification audit. It also supports continuous improvement and controlled documentation.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to perform gap analyses, define quality objectives, manage documents, prepare internal or certification audits, track corrective actions, and review management systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/standards-expert
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 personamanagmentlayer/pcl --skill standards-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

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 standards-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/standards-expert/github.svg)](https://agentmods.dev/skills/personamanagmentlayer/pcl/standards-expert)
Your own site
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/standards-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/standards-expert/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 standards-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/standards-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/standards-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,023 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 $0.00050 $0.03023
Opus 5 $0.00025 $0.01511
Sonnet 5 $0.00010 $0.00605
Haiku 4.5 $0.00005 $0.00302

Measured 4d ago against content hash 14dca2723ef0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

standards-expert 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 4d 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.

stdlib/professional/standards-expert/SKILL.md · 468 lines

How it starts

The opening of the file, as written. The whole thing — 468 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ISO Standards and Quality Management Expert

Expert guidance for ISO standards, quality management systems, compliance, and certification processes.

Core Concepts

ISO Standards

  • ISO 9001 (Quality Management)
  • ISO 27001 (Information Security)
  • ISO 14001 (Environmental Management)
  • ISO 45001 (Occupational Health & Safety)
  • ISO/IEC 17025 (Testing and Calibration)
  • ISO 22000 (Food Safety)

Quality Management

  • Plan-Do-Check-Act (PDCA) cycle
  • Process approach
  • Risk-based thinking
  • Continuous improvement (Kaizen)
  • Quality objectives and metrics
  • Management review

Compliance & Certification

  • Gap analysis
  • Internal audits
  • Corrective actions
  • Document control
  • Management system documentation
  • Certification audits

ISO 9001 Quality Management System

from dataclasses import dataclass
from datetime import datetime
from typing import List, Optional
from enum import Enum

class ProcessCategory(Enum):
    MANAGEMENT = "management"
    OPERATIONAL = "operational"
    SUPPORT = "support"

@dataclass
class QualityProcess:
    process_id: str
    name: str
    category: ProcessCategory
    owner: str
    inputs: List[str]
    outputs: List[str]
    resources: List[str]
    kpis: List[str]
    risks: List[str]

class ISO9001QMS:
    """ISO 9001 Quality Management System"""

    def __init__(self, organization: str):
        self.organization = organization
        self.processes: Dict[str, QualityProcess] = {}
        self.quality_objectives = []
        self.risks = []
        self.opportunities = []

    def define_process(self, process: QualityProcess):
        """Define a quality process"""
        self.processes[process.process_id] = process

    def define_quality_objective(self, objective: Dict):
        """Define quality objective"""
        self.quality_objectives.append({
            'objective': objective['description'],
            'target': objective['target'],
            'measurement': objective['measurement'],
            'owner': objective['owner'],
            'deadline': objective['deadline'],
            'status': 'active'
        })

    def conduct_pdca_cycle(self, process_id: str) -> Dict:
        """Conduct PDCA cycle for process"""
        return {
            'plan': self._plan_phase(process_id),
            'do': self._do_phase(process_id),
            'check': self._check_phase(process_id),
            'act': self._act_phase(process_id)
        }

    def _plan_phase(self, process_id: str) -> Dict:
        """PDCA Plan phase"""
        process = self.processes.get(process_id)
        return {
            'objectives': 'Define objectives and processes',
            'resources': process.resources if process else [],
            'risks_identified': process.risks if process else []
        }

    def _do_phase(self, process_id: str) -> Dict:
        """PDCA Do phase"""
        return {
            'action': 'Implement the processes',
            'documentation': 'Document execution'
        }

    def _check_phase(self, process_id: str) -> Dict:
        """PDCA Check phase"""
        return {
            'monitoring': 'Monitor and measure processes',
            'analysis': 'Analyze results against objectives'
        }

    def _act_phase(self, process_id: str) -> Dict:
        """PDCA Act phase"""
        return {
            'improvements': 'Implement improvements',
            'corrective_actions': 'Take corrective actions'
        }

Read the full file on GitHub · 468 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. 4d ago Changed · +9 lines · +33 tokens per session 14dca2723ef0
  2. 6d ago First seen · 459 lines · 17 tokens per session scan A 43b7a3202bb0

Subscribe to this mod's changes

standards-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 2d ago), licensed Apache-2.0. It adds 50 tokens to every session and 3,023 once invoked, about $0.0003 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 2026-09-03.