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.
git clone --depth 1 https://github.com/BoxLogoDev/sapstackWrote 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/commands/boxlogodev/sapstack/sap-sac-story-review)<a href="https://agentmods.dev/commands/boxlogodev/sapstack/sap-sac-story-review"><img src="https://agentmods.dev/badge/commands/boxlogodev/sapstack/sap-sac-story-review.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00452 |
| Opus 5 | $0.00011 | $0.00226 |
| Sonnet 5 | $0.00004 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
sap-sac-story-review 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 8d 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
/sap-sac-story-review — SAC Story 종합 리뷰
사용 시점
- 신규 Story 출시 전 마지막 검토
- 임원 대시보드 품질 검증
- 성능 슬로우 신고 진단
- 접근성·보안 감사
체크리스트
1. 연결 (Connection)
- Live vs Import 선택 적절?
- 데이터 소스 매핑 정확?
- 인증 정상 (Cloud Connector / BTP destination)?
2. 모델 (Model)
- Dimension hierarchy 정합?
- Measure aggregation 정확?
- Currency/Unit 변환 설정?
- Fiscal Year Variant 일치?
3. Story 디자인
- 임원/사용자 페르소나 명확?
- KPI 정의 명확?
- Drill-down hierarchy?
- Filter 일관성 (Story-level vs Page-level)?
- Color scheme 표준?
4. 성능
- Story-level filter 활용 (visible measures 축소)?
- CDS view 최적화 (인덱스)?
- Live BW: 쿼리 성능 측정?
- Story 첫 로드 < 5초?
5. 접근성·보안
- Sharing 권한 적절?
- 민감 데이터 마스킹?
- Mobile responsive (필요시)?
- Color contrast WCAG?
Output
### Story Review Summary
- 강점: ...
- 개선: ...
### Action Items
1. [Critical/High/Medium]: ...
### Performance Score
- 첫 로드: X초 (목표 <5초)
- Refresh: Y초
### Security
- 권한 매트릭스: ...
참조
plugins/sap-sac/skills/sap-sac/SKILL.mdagents/sap-sac-consultant.md
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.
- 8d ago First seen · 68 lines · 22 tokens per session scan A 9fd3127c4d0d
sap-sac-story-review is a command published in the GitHub repository BoxLogoDev/sapstack (18 stars, last pushed 8d ago), licensed MIT. It adds 22 tokens to every session and 452 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 2026-08-30.
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