health-training-checkin SKILL.md skillA

health-training-checkin from openminis/minisskills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add openminis/minisskills/health-training-checkin@git:20261026.c7af6c9

Pins git:20261026.c7af6c9 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
openminis/minisskills
Path
health-training-checkin/SKILL.md
Versions recorded
1
Latest version
git:20261026.c7af6c9, committed Oct 26, 2026
Size
7,031 bytes
Repository stars
593
License
MIT

Gym strength-training closed loop: plan the session from real history, generate a zero-typing check-in form, parse the workout back into structured records, suggest the next weight via deterministic double progression, and write workout data to Apple Health. Trigger on: planning a gym session ("今天练什么/练哪天", "安排今天的训练"), logging a workout ("记录训练/记一下今天的训练", "log my workout", "training check-in"), weight progression questions ("该加重量了吗", "下次用什么重量", "increase weight?"), parsing exported training text…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Health Training Check-In

A closed loop for gym strength training: **history-driven plan → zero-typing
check-in → structured records → deterministic weight progression → Apple Health**.

The value is not the training plan content (that is commodity); it is the loop
that makes the plan *alive*: every session updates the next session's numbers.

## The Loop (run in this order)

```
setup (once)  →  prefill (before session)  →  check-in form  →  user fills & exports
     →  parse export  →  append sessions.jsonl  →  write Apple Health
     →  progression suggestion  →  (periodically) review & plan update
```

## 1. Setup (first run only)

Create a training directory (e.g. `shared/health-training/`) with:

| File | Purpose |
|------|---------|
| `equipment-catalog.md` | Gym machines the user actually has (id, name, photo ref) |
| `training-plan.md` | Versioned plan: rotation days, exercises, target sets/reps, baseline weights, rules |
| `sessions.jsonl` | One JSON object per session (see `references/data-schema.md`) |
| `write-ledger.jsonl` | Idempotency ledger for Apple Health writes (type+date+value hash) |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add openminis/minisskills/health-training-checkin@sha256:f442c7c96a07ccfe

The line at the top of this page pins the label git:20261026.c7af6c9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_46zkmfqwm7jucweq.svg)](https://markdownregistry.com/a/art_46zkmfqwm7jucweq)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 26, 2026.

versioncommittedcommitsizeaudit
git:20261026.c7af6c9 latest2026-10-26 c7af6c9 7,031 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7031 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

openminis/minisskills · 593 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_46zkmfqwm7jucweq
GET https://markdownregistry.com/api/v1/resolve?ref=openminis/minisskills/health-training-checkin
GET https://markdownregistry.com/api/v1/blob/f442c7c96a07ccfe5dd068a1acafe48fa8a165de5d12d24635ebe1cc9ea7edd6

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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