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.
npx skills add personamanagmentlayer/pcl --skill standards-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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.
[](https://agentmods.dev/skills/personamanagmentlayer/pcl/standards-expert)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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'
}
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.
- 4d ago Changed · +9 lines · +33 tokens per session 14dca2723ef0
- 6d ago First seen · 459 lines · 17 tokens per session scan A 43b7a3202bb0
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.
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