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Ralph Security Audit

以100轮迭代流程审计代码库安全:先侦察与技术栈探测,再依次检查OWASP Top 10、认证与密钥、容器与网络安全、代码质量,每轮输出结论、置信度与严重级别,定期写入报告文件并生成评分卡与最终报告。

dorukardahan
dorukardahan
热度 65.17
最近更新 2026-05-11 17:26:10
分类:安全依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:代码审查 / 报告撰写 / DevOps / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ralph-security
Metadata
name
ralph-security
description
Comprehensive security audit with 100 iterations (~30-60 min). Use when user says 'security audit', 'ralph security', 'weekly security check', 'audit this project', 'new project security review', or 'check for vulnerabilities'. Covers OWASP Top 10, auth, secrets, infrastructure, and code quality.
metadata
{"openclaw":{"emoji":"🛡️"},"author":"dorukardahan","version":"2.0.0","category":"security","tags":["security","audit","owasp","comprehensive"]}

Ralph Security — 100 Iterations (~30-60 min)

Comprehensive security audit with balanced depth and duration.

References

Instructions

Execution Engine

YOU MUST follow this loop for EVERY iteration:

  1. STATE: Read current iteration (start: 1)
  2. PHASE: Determine phase from iteration number
  3. ACTION: Perform ONE check from current phase
  4. VERIFY: Before reporting FAIL — read actual code, check if a library handles it (jose, bcrypt, passport, Auth0, etc.), check DB constraints, check environment gating. If inconclusive: NEEDS_REVIEW, not FAIL.
  5. REPORT: Output iteration result
  6. SAVE: Every 10 iterations, update .ralph-report.md
  7. INCREMENT: iteration = iteration + 1
  8. CONTINUE: IF iteration <= 100 GOTO Step 1
  9. FINAL: Generate comprehensive report

Critical rules:

  • ONE check per iteration — deep, not wide
  • ALWAYS show [SEC-X/100]
  • NEVER skip iterations
  • CRITICAL findings: flag for immediate attention

Per-Iteration Output

══════════════════════════════════════════════════════════
[SEC-{N}/100] Phase {P}: {phase_name}
Check: {specific_check}
══════════════════════════════════════════════════════════
Target: {file/endpoint/system}
Result: {PASS|FAIL|WARN|N/A}
Confidence: {VERIFIED|LIKELY|PATTERN_MATCH|NEEDS_REVIEW}
Severity: {CRITICAL|HIGH|MEDIUM|LOW|INFO}
Finding: {description}
Fix: {recommendation or "N/A"}
──────────────────────────────────────────────────────────
Progress: [██████████░░░░░░░░░░] {N}%
──────────────────────────────────────────────────────────

Persona

Senior security engineer. Evidence-based mindset, defense in depth, fail secure, least privilege.

Phase Structure (100 Iterations)

Phase Iterations Focus Area
1 1-15 Reconnaissance & Sync
2 16-45 OWASP Top 10 Analysis
3 46-65 Authentication & Secrets
4 66-85 Infrastructure Security
5 86-100 Code Quality & Report

Phase 1: Reconnaissance (1-15)

Iter Check
1 Auto-detect stack and infra
2 Git sync: local vs remote
3 Uncommitted sensitive files
4 .env in .gitignore
5 Public endpoints enumeration
6 Authentication requirements mapping
7 Rate limiting coverage
8 Exposed ports (host/container)
9 Hidden services discovery
10 Cron jobs and scheduled tasks
11 Environment variable audit
12 Docker environment check
13 Documentation vs reality
14 Attack surface score
15 Phase 1 summary

Phase 2: OWASP Top 10 (16-45)

Iter OWASP Check
16-18 A01 Broken Access Control (IDOR, CORS, path traversal)
19-21 A02 Cryptographic Failures (weak algos, key mgmt, TLS)
22-27 A03 Injection (SQL, Command, XSS, Template, Log)
28-30 A04 Insecure Design (missing controls, business logic)
31-33 A05 Security Misconfiguration (debug, errors, headers)
34-36 A06 Vulnerable Components (dependency audit)
37-39 A07 Auth Failures (credential stuffing, session mgmt)
40-42 A08 Integrity Failures (deserialization, CI/CD)
43-44 A09 Logging Failures (coverage, security)
45 A10 SSRF (URL validation, metadata protection)

Phase 3: Authentication & Secrets (46-65)

Pre-check: Determine if codebase uses well-known libraries vs custom implementations. Library-handled crypto is generally safe — focus on USAGE errors.

Iter Check
46-50 Secret detection (API keys, passwords, tokens)
51-55 JWT security (algorithm, claims, storage, revocation)
56-58 OAuth 2.0 (PKCE, redirect URI, state)
59-62 Admin authentication (brute force, timing, lockout)
63-65 Rate limiting analysis (coverage, bypass)

Phase 4: Infrastructure (66-85)

Iter Check
66-70 Container security (non-root, readonly, limits)
71-75 Network security (ports, firewall, isolation)
76-78 TLS/SSL (cert validity, ciphers, HSTS)
79-81 SSH security (key auth, config hardening)
82-85 Database security (SSL, permissions, access)

Phase 5: Code Quality & Report (86-100)

Pre-check: Check database constraints before flagging race conditions.

Iter Check
86-88 Race conditions (TOCTOU, concurrent access)
89-91 Business logic flaws (workflow, rate limit bypass)
92-94 Error handling (safe messages, fail-safe)
95-97 Resource management (connections, memory)
98 Critical findings review
99 Security scorecard generation
100 Final report generation

Auto-Detect (Iteration 1)

  1. git rev-parse --show-toplevel, git remote -v
  2. Stack: package.json, pyproject.toml, requirements.txt, go.mod
  3. Infra: Dockerfile, docker-compose.yml, k8s manifests
  4. CI/CD: .github/workflows, .gitlab-ci.yml
  5. Skip non-applicable checks, mark N/A

Report File

On start: rename existing .ralph-report.md to .ralph-report-{YYYY-MM-DD-HHmm}.md. Auto-save every 10 iterations.

Parameters

Param Default Options
--iterations 100 1-200
--focus all recon, owasp, secrets, auth, infra, code, all
--phase all 1-5
--resume — Continue from checkpoint

Context Limit Protocol

If approaching context limit: checkpoint to report file, output resume command, wait for new session.

When to Use

  • Weekly security check
  • New project onboarding
  • Before major release
  • Standard security audit