How do I install the Ppgl Pass Score Application skill?

Run npx skillmds@latest add dromlakhani/ppgl-pass-score-application in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ppgl Pass Score Application safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ppgl Pass Score Application?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ppgl Pass Score Application free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ppgl Pass Score Application?

dromlakhani (@dromlakhani) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ppgl Pass Score Application by dromlakhani

Name: Ppgl Pass Score Application
Rating: 4.666666666666667 (3 reviews)
Author: dromlakhani

Ppgl Pass Score Application

This skill applies the PASS score to evaluate malignant behavior in PPGL specimens as a reference tool for metastasis risk assessment. It is triggered by histopathological evaluation requiring PASS scoring, assessment of tumor malignant potential on histology, or determination of need for additional risk stratification based on PASS, noting the weak correlation between PASS scores and metastasis, low inter-observer agreement, and the need for use alongside other markers with validation for long-term utility.

dromlakhani Updated Sep 8, 2026 10 repo stars

File contents

PASS Score Application for PPGL Malignant Behavior Evaluation

STEP 1 — Gather Information

Collect H&E stained slides of the PPGL specimen and evaluate histopathological features required for PASS score (tumor invasiveness, histologic pattern, nuclear grade, necrosis).

STEP 2 — Rule In / Rule Out

Rule out if specimen is inadequate (e.g., insufficient tissue, artifacts); otherwise, rule in for PASS score calculation.

STEP 3 — Classify or Stratify

Calculate PASS score (sum of points: 0-2 per criterion) and stratify into low (0-3), intermediate (4-6), high (7-10) risk.

STEP 4 — Decide

For low score: recommend routine follow-up; for intermediate/high: recommend additional risk stratification (SDHB testing, extended imaging) and MDT discussion.

Clinical Guardrails / Mimics / Pitfalls

Do not use PASS score in isolation due to weak metastasis correlation and low inter-observer agreement; always combine with SDHB immunohistochemistry, genetic testing, and clinical factors; avoid delaying necessary interventions based solely on low PASS score.

Concrete Clinical Example

A 50-year-old with incidentally found adrenal mass. Histology: minimal vascular invasion (1 point), nested pattern (0 points), mild nuclear atypia (0 points), no necrosis (0 points). PASS score = 1 (low). Decision: Routine follow-up with annual plasma-free metanephrines and abdominal MRI for 10 years, but SDHB immunostaining performed due to family history (negative), reinforcing low-risk assessment.

Source: Japan Endocrine Society Clinical Practice Guideline for the Diagnosis and Management of Pheochromocytoma and Paraganglioma 2025, Japan Endocrine Society, 2025, doi:10.1507/endocrj.EJ25-0165

TODO: consider adding scripts/calc.py for the ppgl-pass-score-application calculator

---name: ppgl-pass-score-applicationdescription: This skill applies the PASS score to evaluate malignant behavior in PPGL specimens as a reference tool for metastasis risk assessment. It is triggered by histopathological evaluation requiring PASS scoring, assessment of tumor malignant potential on histology, or determination of need for additional risk stratification based on PASS, noting the weak correlation between PASS scores and metastasis, low inter-observer agreement, and the need for use alongside other markers with validation for long-term utility.---# PASS Score Application for PPGL Malignant Behavior Evaluation## STEP 1 — Gather InformationCollect H&E stained slides of the PPGL specimen and evaluate histopathological features required for PASS score (tumor invasiveness, histologic pattern, nuclear grade, necrosis).## STEP 2 — Rule In / Rule OutRule out if specimen is inadequate (e.g., insufficient tissue, artifacts); otherwise, rule in for PASS score calculation.## STEP 3 — Classify or StratifyCalculate PASS score (sum of points: 0-2 per criterion) and stratify into low (0-3), intermediate (4-6), high (7-10) risk.## STEP 4 — DecideFor low score: recommend routine follow-up; for intermediate/high: recommend additional risk stratification (SDHB testing, extended imaging) and MDT discussion.## Clinical Guardrails / Mimics / PitfallsDo not use PASS score in isolation due to weak metastasis correlation and low inter-observer agreement; always combine with SDHB immunohistochemistry, genetic testing, and clinical factors; avoid delaying necessary interventions based solely on low PASS score.## Concrete Clinical ExampleA 50-year-old with incidentally found adrenal mass. Histology: minimal vascular invasion (1 point), nested pattern (0 points), mild nuclear atypia (0 points), no necrosis (0 points). PASS score = 1 (low). Decision: Routine follow-up with annual plasma-free metanephrines and abdominal MRI for 10 years, but SDHB immunostaining performed due to family history (negative), reinforcing low-risk assessment.**Source:** Japan Endocrine Society Clinical Practice Guideline for the Diagnosis and Management of Pheochromocytoma and Paraganglioma 2025, Japan Endocrine Society, 2025, doi:10.1507/endocrj.EJ25-0165> **TODO:** consider adding scripts/calc.py for the ppgl-pass-score-application calculator

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