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 Insajin/autopus-adk --skill metricsgit clone --depth 1 https://github.com/Insajin/autopus-adkWrote 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/insajin/autopus-adk/metrics)<a href="https://agentmods.dev/skills/insajin/autopus-adk/metrics"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/metrics/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/insajin/autopus-adk/metrics"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/metrics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00013 | $0.00772 |
| Opus 5 | $0.00006 | $0.00386 |
| Sonnet 5 | $0.00003 | $0.00154 |
| Haiku 4.5 | $0.00001 | $0.00077 |
Grade A, and why
metrics 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metrics Skill
North Star Metric을 정의하고 입력 지표와 guard rail을 설계하는 스킬입니다.
Metrics Hierarchy
North Star Metric
├─ Input Metric 1
├─ Input Metric 2
├─ Input Metric 3
└─ Health Metrics
3단계 설계 프로세스
1. North Star Metric 정의
좋은 North Star Metric의 조건:
- 고객 가치를 반영한다
- 팀이 영향을 줄 수 있다
- 측정 가능하다
- 시계열 비교가 가능하다
예시:
| 비즈니스 모델 | North Star 후보 |
|---|---|
| SaaS | Weekly Active Users |
| Marketplace | Transactions completed |
| E-commerce | Purchase frequency |
| Developer Tool | Deployments / Builds per week |
### North Star Metric
- Metric: {지표명}
- Definition: {정의}
- Current Value: {현재 값}
- Target: {목표 값 + 기간}
- Measurement: {측정 방법}
2. Input Metrics 도출
North Star에 직접 영향을 주는 3-5개 입력 지표를 정의합니다.
| Input Metric | Definition | Owner | Current | Target | Leading/Lagging |
|-------------|------------|-------|---------|--------|----------------|
| New Signups | 주간 신규 가입자 수 | Growth | 500 | 800 | Leading |
| Activation Rate | 핵심 기능 활성화 비율 | Product | 35%% | 50%% | Leading |
| W1 Retention | 1주차 재방문율 | Product | 40%% | 55%% | Lagging |
유형 분류:
- Acquisition
- Activation
- Engagement
- Retention
- Revenue
3. Health Metrics 설정
North Star를 올리더라도 깨지면 안 되는 guard rail을 정의합니다.
| Health Metric | Threshold | Alert Condition |
|--------------|-----------|-----------------|
| Error Rate | < 0.1%% | > 0.5%% for 1h |
| P99 Latency | < 500ms | > 1000ms for 30m |
| Support Tickets | < 50/day | > 100/day for 3 days |
Success Dashboard
## Success Dashboard: {Feature}
### Primary Metric
- Baseline: {현재 값}
- Target: {목표}
- Measurement window: {기간}
### Secondary Metrics
| Metric | Baseline | Target | Status |
### Guard Rails
| Metric | Acceptable Range | Current |
PRD / SPEC 연동
- PRD의
Goals & Success Metrics섹션에 직접 삽입합니다. - SPEC의
acceptance.md에 측정 가능한 수락 기준으로 연결합니다.
예시:
## Acceptance Criteria — Metrics
- [ ] {Primary metric}이 {target} 이상 달성
- [ ] {Guard rail metric}이 {threshold} 미만 유지
- [ ] 측정 이벤트와 대시보드가 정의됨
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.
- 7d ago First seen · 130 lines · 13 tokens per session scan A 14e032dcb4e4
metrics is a skill published in the GitHub repository Insajin/autopus-adk (111 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 772 once invoked, about $0.0001 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 2026-09-03.
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