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.
npx skills add Dannykkh/skill-olympus --skill health-datagit clone --depth 1 https://github.com/Dannykkh/skill-olympusWrote 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.
[](https://agentmods.dev/skills/dannykkh/skill-olympus/health-data)<a href="https://agentmods.dev/skills/dannykkh/skill-olympus/health-data"><img src="https://agentmods.dev/badge/skills/dannykkh/skill-olympus/health-data/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.
<a href="https://agentmods.dev/skills/dannykkh/skill-olympus/health-data"><img src="https://agentmods.dev/badge/skills/dannykkh/skill-olympus/health-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00102 | $0.00854 |
| Opus 5.5 | $0.00041 | $0.00342 |
| Sonnet 5.5 | $0.00020 | $0.00171 |
| Haiku 4.5 | $0.00010 | $0.00085 |
Grade A, and why
health-data 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 1mo 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.
What it actually says
Health Data Integration Guide
Health Connect(Android)와 HealthKit(iOS)를 활용한 건강 데이터 수집/동기화/저장 종합 가이드. React Native(Expo), Swift, Kotlin, Web 환경에서의 구현 패턴과 실전 gotcha 포함. 심박수, 수면, 걸음, 활동 에너지 등 주요 데이터 타입별 처리법.
Trigger
다음 키워드에 자동 활성화:
- "Health Connect", "HealthKit", "헬스커넥트", "헬스킷"
- "심박수", "수면 데이터", "걸음 수", "heart rate", "sleep data", "steps"
- "건강 데이터 동기화", "health sync", "백그라운드 동기화"
- "HKAnchoredObjectQuery", "getChanges", "health permission"
핵심 개념: 건강 데이터는 "내 데이터"가 아니다
건강 데이터의 가장 큰 함정: 우리 앱이 데이터의 주인이 아니다.
Health Connect/HealthKit은 OS가 관리하는 공유 저장소입니다. 다른 앱이 데이터를 쓸 수 있고, 사용자가 직접 삭제할 수도 있습니다.
[워치/센서] → [Health Connect / HealthKit] → [우리 앱] → [백엔드 서버] → [DB]
↑ 다른 앱도 읽기/쓰기 ↑ 여기서부터 우리 책임
↑ 사용자가 직접 삭제 가능
이것이 의미하는 것:
- 데이터가 갑자기 사라질 수 있다 (사용자 삭제, 앱 제거)
- 같은 시간대에 다른 앱이 쓴 중복 데이터가 있을 수 있다
- 권한이 언제든 취소될 수 있다
- **증분 동기화(incremental sync)**가 필수 — 매번 전체를 다시 읽으면 비용 폭발
상세 내용
이 스킬의 전체 내용(플랫폼 비교, 데이터 타입별 처리, 동기화 아키텍처, 권한 관리, 삭제 전파, 로컬 캐시, 워치 연동, 디버깅 가이드)은 글로벌 설치본을 참조하세요.
핵심 gotcha 요약:
- Health Connect
DeletionChange에 recordType 없음 → 데이터 타입별 별도 token 유지 - iOS
authorizationStatus()는 read 권한을 정확히 알려주지 않음 - 심박수 raw 저장 시 파티셔닝 필수 (월 수만 row)
- 수면
sleepDate단위 upsert → 낮잠+밤잠 덮어쓰기 위험 - 걸음 수
user+dateupsert → 워치+폰 데이터 덮어쓰기 위험 (deviceId 포함 필요) - 로그아웃 시 pending buffer 미삭제 → 다른 사용자 데이터 업로드 위험
- Observer Query + Background Delivery 함께 사용 필수 (iOS)
- 동시 sync 방지: shared promise 패턴
Related Files
| 파일 | 역할 |
|---|---|
skills/social-login/SKILL.md |
소셜 로그인 (앱 인증과 함께 사용) |
skills/database-schema-designer/SKILL.md |
DB 스키마 설계 (파티셔닝 포함) |
| 네이티브 백엔드 작업자 | 프로젝트 Spring/JPA 버전·기존 persistence 경계·파티셔닝 테스트를 기준으로 구현 |
skills/python-backend-fastapi/SKILL.md |
FastAPI 백엔드 |
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.
- 1mo ago First seen · 69 lines · 102 tokens per session scan A 9959d1b1b05e
health-data is a skill published in the GitHub repository Dannykkh/skill-olympus (7 stars, last pushed 3d ago), licensed MIT. It adds 102 tokens to every session and 854 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
audit-project
Audits the Claude Code configuration of a project against the dotforge template. Generates a report with score and gaps.
init-project
Quick-start Claude Code configuration. Auto-detects stack, asks 4 questions to understand the project, generates complete config.
domain-extract
Extract domain knowledge from existing project sources and generate domain rules. Also handles vault sync and domain listing.
rule-effectiveness
Cross-reference .claude/rules/ globs against git history to find inert rules and uncovered directories. Content quality and context cost are native — run /doctor prompt-audit and /skill-doctor for those.
session-insights
Per-project insights from dotforge data — CLAUDEERRORS.md, session-report metrics, agent memory, registry score trend — fed into the practices pipeline. General friction analysis across transcripts is native (/insights).
forge
Execute dotforge configuration management commands from any OpenClaw channel (WhatsApp, Telegram, Slack, etc.).