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 security-auditgit 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/security-audit)<a href="https://agentmods.dev/skills/insajin/autopus-adk/security-audit"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/security-audit/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/security-audit"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/security-audit.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 | $0.00015 | $0.00760 |
| Opus 5 | $0.00008 | $0.00380 |
| Sonnet 5 | $0.00003 | $0.00152 |
| Haiku 4.5 | $0.00002 | $0.00076 |
Grade A, and why
security-audit 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
Security Audit Skill
OWASP Top 10 기준으로 보안 취약점을 탐지하고 수정하는 스킬입니다.
OWASP Top 10 체크리스트
A01: 접근 제어 실패
// ❌ 위험: 권한 확인 없음
func GetUserData(userID string) (*User, error) {
return db.FindUser(userID)
}
// ✅ 안전: 권한 확인 포함
func GetUserData(ctx context.Context, requestorID, targetUserID string) (*User, error) {
if !hasPermission(ctx, requestorID, "read:user", targetUserID) {
return nil, ErrUnauthorized
}
return db.FindUser(targetUserID)
}
A02: 암호화 실패
- 민감 데이터 전송 시 TLS 사용
- 비밀번호 해싱 (bcrypt, argon2)
- 하드코딩된 시크릿 없음
- 최신 암호화 알고리즘 사용
A03: 인젝션
// ❌ SQL 인젝션 취약점
query := fmt.Sprintf("SELECT * FROM users WHERE name = '%s'", userInput)
// ✅ 파라미터화 쿼리
query := "SELECT * FROM users WHERE name = $1"
db.QueryRow(query, userInput)
A04: 불안전한 설계
- 위협 모델링 완료
- 최소 권한 원칙 적용
- 심층 방어 전략
A05: 보안 설정 오류
- 기본 비밀번호 변경
- 불필요한 포트/서비스 비활성화
- 에러 메시지에 민감 정보 미포함
A06: 취약하고 오래된 컴포넌트
# Go 의존성 취약점 스캔
govulncheck ./...
# 최신 버전 확인
go list -u -m all
A07: 식별 및 인증 실패
- 강력한 패스워드 정책
- 세션 만료 처리
- 브루트포스 방지 (레이트 리밋)
A08: 소프트웨어 및 데이터 무결성 실패
- 의존성 검증 (go.sum)
- 코드 서명
- CI/CD 파이프라인 보안
A09: 보안 로깅 및 모니터링 실패
// 보안 이벤트 로깅
log.WithFields(log.Fields{
"event": "auth_failed",
"user_ip": clientIP,
"user_id": userID,
"timestamp": time.Now(),
}).Warn("인증 실패")
A10: 서버 사이드 요청 위조 (SSRF)
- 외부 URL 요청 시 화이트리스트 적용
- 내부 네트워크 접근 차단
감사 출력
## 보안 감사 결과
### 위험도 요약
- 심각(Critical): N
- 높음(High): N
- 중간(Medium): N
- 낮음(Low): N
### 발견된 취약점
| ID | 파일:라인 | 유형 | 위험도 | 설명 |
### 권장 수정 사항
1. [CVE/CWE] [파일:라인] — [수정 방법]
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 · 106 lines · 15 tokens per session scan A f30b0fe1e993
security-audit is a skill published in the GitHub repository Insajin/autopus-adk (111 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 760 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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