bloodwork-explainer

bloodwork-explainer is a skill for Claude Code, Codex from SkillMedev/health-and-longevity. It costs 141 tokens per session (1,651 once invoked), scanned A, a copy of bloodwork-explainer, MIT.

A plain-language guide to common blood tests, including complete blood counts, metabolic panels, cholesterol, thyroid and hormone tests, and HbA1c, a longer-term blood-sugar measure. It compares results with the reference ranges printed by the laboratory.

In plain words
What is it for?
Explaining lab reports, identifying results outside the report's own ranges, considering relevant context such as medicines and fasting, and preparing a prioritized list of questions for a physician.
Why use it?
It helps people understand flagged results without diagnosing them from a single number or replacing a doctor's interpretation. It also prepares questions for a medical appointment.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Explaining lab reports, identifying results outside the report's own ranges, considering relevant context such as medicines and fasting, and preparing a prioritized list of questions for a physician.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/skillmedev/health-and-longevity/bloodwork-explainer
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 SkillMedev/health-and-longevity --skill bloodwork-explainer
Clone the repo
git clone --depth 1 https://github.com/SkillMedev/health-and-longevity

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 bloodwork-explainer

README.md
[![agentmods](https://agentmods.dev/badge/skills/skillmedev/health-and-longevity/bloodwork-explainer/github.svg)](https://agentmods.dev/skills/skillmedev/health-and-longevity/bloodwork-explainer)
Your own site
<a href="https://agentmods.dev/skills/skillmedev/health-and-longevity/bloodwork-explainer"><img src="https://agentmods.dev/badge/skills/skillmedev/health-and-longevity/bloodwork-explainer/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 bloodwork-explainer

Your own site · 80×15
<a href="https://agentmods.dev/skills/skillmedev/health-and-longevity/bloodwork-explainer"><img src="https://agentmods.dev/badge/skills/skillmedev/health-and-longevity/bloodwork-explainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,651 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 100% 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 $0.00141 $0.01651
Opus 5.5 $0.00056 $0.00660
Sonnet 5.5 $0.00028 $0.00330
Haiku 4.5 $0.00014 $0.00165

Measured 21d ago against content hash 549ea359ec6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bloodwork-explainer 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 21d 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

100% identical to bloodwork-explainer — 0 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.

skills/bloodwork-explainer/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bloodwork Explainer

Most people do one of two harmful things with lab results: self-diagnose from a single out-of-range value, or file the report away without understanding what it flagged. This skill does neither. It converts a lab report into plain-language explanations, honest flags, and a question list that makes the next doctor visit dramatically more productive. It never diagnoses, never recommends treatment, and never overrides a physician.

Operating procedure

Step 1: Gather inputs

Collect before interpreting anything. Missing context is the main source of bad interpretation.

  1. The results themselves, including the reference range printed next to each value. Reference ranges are lab-specific - different labs use different assays and populations, so never substitute a generic range from memory for the one on the report. If the user gives values without ranges, ask for the ranges; label any range you supply yourself as a generic approximation, not the lab's.
  2. Age and sex (many ranges differ by both).
  3. Current medications and supplements (statins, biotin, creatine, and many others move markers).
  4. Fasting status at the draw (glucose and triglycerides are meaningless to compare against fasting ranges otherwise).
  5. Prior results for the same markers, if available - a trend beats a snapshot.
  6. Recent context: intense exercise within 48 hours (raises ALT/AST and creatinine), acute illness, heavy alcohol.
  7. Any symptoms the user is worried about.

Step 2: Screen for urgent flags first

Before explaining anything, scan for values the lab marked as critical, and for symptom red flags. If any are present, lead with the escalation guidance below - do not bury it under education.

Step 3: Organize by panel and explain in plain language

Work panel by panel. For each marker: what it measures, whether the value sits inside the lab's range, and the common non-alarming reasons it moves.

  • CBC: hemoglobin (oxygen-carrying capacity; low suggests anemia), hematocrit (percent of blood that is red cells), WBC count (immune activity; high can indicate infection or inflammation), platelets (clotting). A single out-of-range value in isolation rarely means much - trend and clinical context matter.
  • CMP: ALT and AST (liver stress, heavy alcohol, or recent intense exercise), ALP (bile ducts and bone), creatinine and BUN (waste clearance), eGFR (estimated kidney filtration), electrolytes (sodium, potassium, chloride, bicarbonate), calcium. Fasting glucose: 70-99 mg/dL is the typical normal band; 100-125 is the pre-diabetic range; note that the lab's own range governs.
  • Lipid panel: total cholesterol alone is a poor predictor. LDL is the primary target (under 100 mg/dL is the common optimal reference for most adults, lower for high-risk individuals - the target is a physician decision). HDL under 40 mg/dL is a risk factor. Triglycerides under 150 mg/dL is the normal reference. Suggest asking the doctor about ApoB when cardiovascular risk is the concern.
  • Thyroid and hormones: TSH is the standard screen; abnormal values prompt free T4 and T3 follow-up. Testosterone (total and free) is relevant to fatigue, libido, and body-composition symptoms in both sexes. HbA1c reflects roughly 3 months of average glucose. Vitamin D (25-OH): the optimal range is debated; 30-60 ng/mL is a common clinical target.

Read the full file on GitHub · 72 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. 21d ago Changed · +2 lines · +1 tokens per session 549ea359ec6e
  2. 1mo ago First seen · 70 lines · 140 tokens per session scan A 58c7051c9eac

Subscribe to this mod's changes

bloodwork-explainer is a skill published in the GitHub repository SkillMedev/health-and-longevity (1 stars, last pushed 21d ago), licensed MIT. It adds 141 tokens to every session and 1,651 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to bloodwork-explainer, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

apple-health

Unofficial Apple Health export MCP for AI agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Apple Health data or actions through an agent.

davidmosiah/apple-health-mcp · 39 tokens

neuropixels-analysis

Analyzes Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when…

K-Dense-AI/scientific-agent-skills · 99 tokens

onekgpd

Queries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which…

K-Dense-AI/scientific-agent-skills · 143 tokens

biopython

Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.

K-Dense-AI/scientific-agent-skills · 65 tokens

experimental-design

Designs experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls…

K-Dense-AI/scientific-agent-skills · 201 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens