personal-health-graph: Skill for Claude Code

.claude/skills/maintenance/SKILL.md

maintenance is a skill for Claude Code from gtr36/personal-health-graph. It costs 49 tokens per session (127 once invoked), scanned A, original, MIT.

A scheduled check of a personal health record for old files, broken references, upcoming repeat tests, and unfinished follow-ups.

In plain words
What is it for?
Use it to audit health records, find stale data, verify links between files, and flag upcoming retests or follow-ups.
Why use it?
It reveals information that may be out of date or tasks that may have been missed.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is gtr36/personal-health-graph's own configuration. It tells Claude Code how to work on personal-health-graph itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything personal-health-graph configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gtr36/personal-health-graph. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gtr36/personal-health-graph/main/.claude/skills/maintenance/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/gtr36/personal-health-graph

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 maintenance

README.md
[![agentmods](https://agentmods.dev/badge/skills/gtr36/personal-health-graph/maintenance/github.svg)](https://agentmods.dev/skills/gtr36/personal-health-graph/maintenance)
Your own site
<a href="https://agentmods.dev/skills/gtr36/personal-health-graph/maintenance"><img src="https://agentmods.dev/badge/skills/gtr36/personal-health-graph/maintenance/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 maintenance

Your own site · 80×15
<a href="https://agentmods.dev/skills/gtr36/personal-health-graph/maintenance"><img src="https://agentmods.dev/badge/skills/gtr36/personal-health-graph/maintenance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 127 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 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 $0.00049 $0.00127
Opus 5 $0.00024 $0.00063
Sonnet 5 $0.00010 $0.00025
Haiku 4.5 $0.00005 $0.00013

Measured 10d ago against content hash 397f1f7c2b2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

maintenance 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 10d 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.

.claude/skills/maintenance/SKILL.md · 7 lines

What it actually says

Read skills/MAINTENANCE.md and execute the skill as specified. The skill file contains the complete methodology — which files to audit, how to detect staleness, how to validate cross-references, and how to flag upcoming retests and follow-ups. Save the maintenance report to the location specified in its saves_to: field.

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. 10d ago First seen · 7 lines · 49 tokens per session scan A 397f1f7c2b2b

Subscribe to this mod's changes

maintenance is a skill published in the GitHub repository gtr36/personal-health-graph (19 stars, last pushed 26d ago), licensed MIT. It adds 49 tokens to every session and 127 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens