'rules' 검색 결과

差分が「その差分自身を審査するレビュー基準・品質ゲート」を弱めていないかを diff-time で検出する。Check 1 レビュールールの削除・弱体化（.river/rules.md / .river/rules.d/*）、Check 2 実行時コンフィグの閾値・ゲート緩和（.river-review.{json,yaml,yml} の review.severity 引き下げ / exclude 拡大 / memory.suppressionEnabled 無効化 / selection.skills.exclude 追加）、Check 3 suppression entry の新規追加、Check 4 lint・静的解析設定からのルール削除や無効化、Check 5 branch protection・required check の緩和、の 5 Check を対象とし、これらが機能変更と同一 PR に混在し、かつ意図の宣言が無い場合に指摘する。report-only。workflow の permissions / action pin は gha-workflow-security、既存 suppression entry の使い分けは suppression-feedback、設定ファイルの一般的妥当性は config-json、.only / .skip / @ts-ignore / @ts-nocheck は heuristic-review.mjs の決定論検出器、リファクタと機能追加の混在は behavior-structure-separation へ委譲する

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Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.

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Find and identify the CCSGameRules_ResetRound function in CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the round-reset routine. It is the only function that references the "GMR_ResetRound\n" debug log string, and is the predecessor anchor for find-CCSGameRules_PostCleanUp (which it calls). Emits a unique IDA-style byte signature and a func YAML. Mirrors the find-CCSGameRules_ResetRound.py preprocessor (xref_strings "GMR_ResetRound\n"). Trigger: CCSGameRules_ResetRound, ResetRound, GMR_ResetRound

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Agent fallback for CCSGameRules_vtable (auto-generated, category: func). Locate CCSGameRules_vtable in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSGameRules_vtable, CCSGameRules_vtable

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Agent fallback for CCSGameRules_PlayerSpawn (auto-generated, category: vfunc). Locate CCSGameRules::PlayerSpawn in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSGameRules_PlayerSpawn, CCSGameRules::PlayerSpawn

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Agent fallback for CCSGameRules_GoToIntermission (auto-generated, category: vfunc). Locate CCSGameRules::GoToIntermission in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSGameRules_GoToIntermission, CCSGameRules::GoToIntermission

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Agent fallback for CCSGameRules_FindPickerEntity (auto-generated, category: vfunc). Locate CCSGameRules::FindPickerEntity in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSGameRules_FindPickerEntity, CCSGameRules::FindPickerEntity

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Agent fallback for CCSGameRules_BeginRound (auto-generated, category: func). Locate CCSGameRules::BeginRound in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CCSGameRules_BeginRound, CCSGameRules::BeginRound

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Agent fallback for C_GameRules_vtable (auto-generated, category: func). Locate C_GameRules_vtable in the CS2 client module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: C_GameRules_vtable, C_GameRules_vtable

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Agent fallback for CBaseEntity_CollisionRulesChanged (auto-generated, category: vfunc). Locate CBaseEntity::CollisionRulesChanged in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_CollisionRulesChanged, CBaseEntity::CollisionRulesChanged

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Agent fallback for C_MultiplayRules_vtable (auto-generated, category: func). Locate C_MultiplayRules_vtable in the CS2 client module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: C_MultiplayRules_vtable, C_MultiplayRules_vtable

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Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.

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Nuxt 4 앱에서 서버와 브라우저의 표시 불일치를 방지하고 데이터 조회, 페이지별 렌더링과 캐시, 지연 로딩을 정리합니다. 구현과 검토, 성능 개선에 사용합니다.

• 서버와 브라우저의 표시 불일치 수정
• 페이지 데이터 조회 방식 검토
• 페이지별 렌더링과 캐시 정책 결정

명령 실행, 파일 편집, 프롬프트 입력과 작업 종료 이벤트를 조건으로 감지하고 위험한 작업이나 민감한 파일 변경에 경고 또는 차단을 설정하는 규칙을 만듭니다.

• 위험한 명령을 차단합니다
• 민감한 파일 편집에 경고합니다
• 편집 중 추가된 디버그 코드를 감지합니다

Claude Code의 수정 지시와 반복 작업에서 확신도를 가진 행동 규칙을 추출합니다. 프로젝트별로 관리하고 관련 규칙을 스킬, 명령, 에이전트로 발전시킵니다.

• 수정 지시와 반복 작업을 지식으로 남기기
• 프로젝트별 개발 규약 관리하기
• 행동 규칙을 스킬이나 명령으로 만들기

Review recent Claude Code session logs to find frequently used read-only Bash commands and MCP tools, which connect agents to services. Rank suitable permission rules and merge them into project settings to reduce repeated approval prompts.

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• Reduce prompts for frequently used read-only tools
• Choose permission rules from actual usage
• Add project rules while preserving existing settings

Turn detected departures from project requirements into concrete prevention rules. This companion to atlas-contract proposes conditions, prohibited actions, and alternatives, then merges approved entries into Atlas.md for use in future task agreements.

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• Recording a detected requirements deviation
• Turning review findings into prevention rules
• Merging recurring mistakes into existing rules

Convert human-written CLAUDE.md instructions into a structured label format for AI agents. Use it to review lengthy rules, reduce instruction overhead, and prepare prompts for migration between AI tools while preserving the intended rules.

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• Restructuring a lengthy CLAUDE.md
• Reviewing instruction token usage
• Preparing rules for migration between AI tools

Trace mailbox abuse in a CTF sandbox, a controlled security challenge environment. The skill connects OAuth permissions, forwarding rules, delegated access, and message logs to concrete mail effects, documenting the smallest reproducible sequence and supporting evidence.

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• Trace how OAuth consent enables mailbox access
• Investigate forwarding and inbox rule effects
• Verify shared mailbox and delegated access

Analyze suspected malware through code inspection and behavior observed in an isolated environment. Extract indicators of compromise, such as suspicious domains and file paths, and create YARA file-matching rules or Sigma behavior-detection rules from the findings.

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• Investigating suspicious executables, scripts, and macros
• Extracting malicious domains, file paths, and other indicators
• Creating YARA and Sigma detection rules

Apply a firm's customer verification and anti-money-laundering rules to structured onboarding records. Produce risk ratings, rule-by-rule findings, missing-document lists, and review routing with supporting evidence, while leaving approval to human reviewers.

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• Rating onboarding risk under firm rules
• Checking for missing or expired documents
• Recording evidence for each rule outcome

Detect attacks that misuse legitimate Windows utilities such as certutil and mshta. Analyze process logs, command arguments, and parent-child relationships with Sigma detection rules, then report suspicious events with severity scores and supporting event details.

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• Investigating suspicious use of built-in Windows utilities
• Creating Sigma rules for unusual command arguments
• Finding Office apps that launch unexpected system utilities

Create rules for Suricata and Snort, systems that detect suspicious network traffic, to flag port scans and reconnaissance. Combine packet patterns with connection counts, tune alert volume, and summarize scanning sources, targets, and activity.

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• Create rules to detect Nmap and Masscan activity
• Monitor scanning within an internal network
• Tune alerts for authorized vulnerability scanners

Create and tune Falco rules to detect possible container escapes, where a container gains access to its host. Define detection conditions, alert priorities, and output fields, then refine exceptions to reduce false positives.

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• Writing rules for suspicious host filesystem access
• Investigating noisy container escape alerts
• Reusing detection conditions through macros and lists