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security-research

Team Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=code-yeongyu-oh-my-openagent-agents-skills-security-research-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
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name security-research description Team Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'. Security Research - Team Mode Vulnerability Audit Use this skill to run a parallel security audit that separates real exploitability from generic concern. The team has 3 vulnerability hunters and 2 PoC engineers. Hard Preconditions Before starting, verify: team_* tools are available. If not, stop and tell the user: security-research requires team-mode. Set team_mode.enabled: true in your oh-my-openagent config, restart opencode, then retry. You are in the main session, not a background subagent. You have a concrete target: repository, diff range, PR, release candidate, path list, or threat surface. If the user provided no target, audit the current repository and current branch diff against its upstream or merge base. If there is no diff, audit the security-sensitive surfaces in the working tree. Severity Standard Use these references as the scoring frame: CWE for root-cause weakness classification: https://cwe.mitre.org/ OWASP WSTG for test methodology: https://devguide.owasp.org/en/06-verification/01-guides/01-wstg/ OWASP ASVS for control verification: https://owasp.org/www-project-application-security-verification-standard/ CVSS v4.0 for exploitability and impact scoring: https://www.first.org/cvss/v4.0/specification-document Rules: No severity without an attack path. No critical or high finding without concrete exploit preconditions and impact. Keep CWE category separate from severity. Prefer a small, reproducible PoC over theoretical language. Never run destructive exploits against real services or third-party systems. Use local fixtures, toy payloads, dry runs, or static proof when real execution would be unsafe. Team Roster Create one Team Mode run with these 5 members: Member Kind Category Role surface-hunter category deep Map entry points, trust boundaries, and reachable attack surfaces. auth-data-hunter category ultrabrain Hunt auth, authorization, data isolation, injection, and secret handling flaws. runtime-supply-hunter category unspecified-high Hunt filesystem, subprocess, archive, dependency, hook, MCP, and config risks. poc-engineer-a category unspecified-high Build minimal PoCs for the strongest candidate findings. poc-engineer-b category deep Independently reproduce, falsify, or downgrade candidate findings. Call team_create with an inline spec: team_create ({ inline_spec : { name : "security-research" , description : "Parallel exploitability-driven security research team." , members : [ { name : "surface-hunter" , kind : "category" , category : "deep" , prompt : "You map attack surface. Enumerate entry points, trust boundaries, attacker-controlled inputs, data sinks, privilege transitions, and sensitive assets. Return evidence with file paths and exact functions. Do not assign severity unless you can name an attack path." }, { name : "auth-data-hunter" , kind : "category" , category : "ultrabrain" , prompt : "You hunt auth, authorization, tenant/data isolation, injection, SSRF, credential exposure, and confused-deputy flaws. Reason from attacker capability to impact. Return only findings with concrete exploit preconditions, CWE candidates, and verification steps." }, { name : "runtime-supply-hunter" , kind : "category" , category : "unspecified-high" , prompt : "You hunt filesystem, subprocess, archive extraction, dependency, hook execution, MCP, config, and environment-variable risks. Check path traversal, command injection, unsafe downloads, permission boundaries, and supply-chain assumptions. Cite file paths and commands used." }, { name : "poc-engineer-a" , kind : "category" , category : "unspecified-high" , prompt : "You build minimal safe PoCs for candidate findings. Use toy inputs and local-only execution. Your job is to prove or disprove exploitability, not to broaden scope. Report exact reproduction steps and expected output." }, { name : "poc-engineer-b" , kind : "category" , category : "deep" , prompt : "You independently reproduce candidate findings and try to falsify them. Downgrade anything without a working path. If a PoC is unsafe to run, design a safe static or dry-run proof and explain the limit." } ] } }) If a category is unavailable, retry once by replacing only that category with unspecified-high . Do not reduce the team below 5 members. Workflow Phase 0: Scope and Baseline Collect: Target scope and reason for audit. Branch, base ref, diff, and changed files if this is a change review. Security-sensitive directories and files if this is a full-repo audit. Existing tests and commands that exercise relevant surfaces. Any user-stated constraints, such as no network calls or no destructive tests. Use rg , git diff , git log , LSP, and existing tests before assigning work. Phase 1: Independent Hunter Pass Send one prompt to the 3 hunters: Audit target: {target summary} Context: {diff, file list, security-sensitive paths, known constraints} Task: Find candidate vulnerabilities in your assigned role. For each candidate include: - title - affected file/function - attacker capability - attack path - impact - CWE candidate - exact evidence - safe verification idea Reject generic hardening advice. Return only candidates with a plausible path. Wait for all hunters. Phase 2: PoC Pass Deduplicate hunter candidates. Send the strongest candidates to both PoC engineers. Each PoC engineer must return: Reproduced, falsified, or unsafe-to-run. Exact commands, fixtures, or static proof. Observed output or reason it fails. Severity recommendation using exploitability and impact. Downgrade rationale for anything not reproduced. Phase 3: Cross-Check Send the PoC results back to all 5 members. Ask every member: Which findings survive? Which findings should be downgraded or removed? What remediation is smallest and specific? What regression test would prevent recurrence? Phase 4: Final Report Produce this report: ## Security Research Result ### Verdict PASS | PASS WITH FINDINGS | BLOCK ### Scope - Target: - Base/diff: - Commands run: ### Findings | Severity | Title | CWE | Exploitability | Impact | PoC | Fix | |----------|-------|-----|----------------|--------|-----|-----| ### Finding Details For each finding: - Evidence: - Attack path: - PoC: - Severity rationale: - Minimal fix: - Regression check: ### Downgraded or Rejected Candidates | Candidate | Reason | |-----------|--------| ### Residual Risk - What was not tested and why. Output Rules Lead with the verdict. Do not bury blocking issues. Do not report speculative findings as vulnerabilities. Do not claim CVSS precision unless you actually scored the metrics. Include exact file paths and commands for every surviving finding. If no findings survive PoC, say that plainly and list residual risk.
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formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
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