personal-health-graph: Skill for Claude Code

.claude/skills/baseline_report/SKILL.md

baseline_report is a skill for Claude Code from gtr36/personal-health-graph. It costs 50 tokens per session (115 once invoked), scanned A, original, MIT.

A first comprehensive health assessment that establishes personal baselines, identifies missing information, and proposes a 90-day plan. A baseline is a starting picture used for future comparison.

In plain words
What is it for?
Getting an initial health overview, assessing gaps after building a health graph, and planning the next 90 days.
Why use it?
It helps someone understand their current overall position and what health data or follow-up may still be needed.

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/baseline_report/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 baseline_report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/gtr36/personal-health-graph/baseline_report"><img src="https://agentmods.dev/badge/skills/gtr36/personal-health-graph/baseline_report.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 115 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 $0.00050 $0.00115
Opus 5 $0.00025 $0.00057
Sonnet 5 $0.00010 $0.00023
Haiku 4.5 $0.00005 $0.00012

Measured 12d ago against content hash c2ab47a93ad8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

baseline_report 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 12d 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/baseline_report/SKILL.md · 7 lines

What it actually says

Read skills/BASELINE_REPORT.md and execute the skill as specified. The skill file contains the complete methodology — data census, baseline establishment, risk and opportunity scan, and 90-day roadmap generation. Save the baseline 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. 12d ago First seen · 7 lines · 50 tokens per session scan A c2ab47a93ad8

Subscribe to this mod's changes

baseline_report is a skill published in the GitHub repository gtr36/personal-health-graph (19 stars, last pushed 28d ago), licensed MIT. It adds 50 tokens to every session and 115 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 2026-08-30.

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

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 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