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Agent Skill · 研究检索

ln-652-transaction-correctness-auditor(ln 652 交易正确性审计员)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

ln-652-transaction-correctness-auditor 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 17,710。

总安装 6,452周安装 261GitHub Stars 437下载 2,025核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ln-652-transaction-correctness-auditor(ln 652 交易正确性审计员)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-652-transaction-correctness-auditor
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-652-transaction-correctness-auditor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-652-transaction-correctness-auditor

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助安全审计、权限检查和常见漏洞排查。适合梳理敏感配置、检查依赖风险或分析鉴权逻辑。使用时不能直接采信工具输出,需结合最小权限和脱敏要求确认操作边界。涉及密钥或生产系统时,应先评估权限范围和影响范围。建议配合人工复核生成安全复核清单。

ln-652-transaction-correctness-auditor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/ln-652-transaction-correctness-auditor

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-6…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ln-652-transaction-correctness-auditor 怎么安装?

在终端执行 npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-652-transac…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ln-652-transaction-correctness-auditor 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ln-652-transaction-correctness-auditor 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

ln-652-transaction-correctness-auditor 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ln-652-transaction-correctness-auditor 用的人多吗?

公开数据是累计安装 6,452 次,近一周安装 261 次,下载 2,025 次,GitHub 437 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ln-652-transaction-correctness-auditor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ln-652-transaction-correctness-auditor

ln 652 交易正确性审计员 · 本页

6,452437调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If shared/ is missing, fetch files via WebFetch from https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}.

Transaction Correctness Auditor (L3 Worker)

Type: L3 Worker

Specialized worker auditing database transaction patterns for correctness, scope, and trigger interaction.

Purpose & Scope

  • Audit transaction correctness (Priority: HIGH)
  • Check commit patterns, transaction boundaries, rollback handling, trigger/notify semantics
  • Write structured findings to file with severity, location, effort, recommendations
  • Calculate compliance score (X/10) for Transaction Correctness category

Inputs

MANDATORY READ: Load shared/references/audit_worker_core_contract.md. MANDATORY READ: Load shared/references/mcp_tool_preferences.md and shared/references/mcp_integration_patterns.md

Receives contextStore with: tech_stack, best_practices, db_config (database type, ORM settings, trigger/notify patterns), codebase_root, output_dir.

Domain-aware: Supports domain_mode + current_domain.

Use hex-graph first when reference chains or call paths materially improve transaction analysis. Use hex-line first for local code/config reads when available. If MCP is unavailable, unsupported, or not indexed, continue with built-in Read/Grep/Glob/Bash and state the fallback in the report.

Workflow

MANDATORY READ: Load shared/references/two_layer_detection.md for detection methodology.

  1. Parse context from contextStore

- Extract tech_stack, best_practices, db_config, output_dir - Determine scan_path

  1. Discover transaction infrastructure

- Find migration files with triggers (pg_notify, CREATE TRIGGER, NOTIFY) - Find session/transaction configuration (expire_on_commit, autocommit, isolation level) - Map trigger-affected tables

  1. Scan codebase for violations

- Trace UPDATE paths for trigger-affected tables - Analyze transaction boundaries (begin/commit scope) - Check error handling around commits

  1. Collect findings with severity, location, effort, recommendation
  2. Calculate score using penalty algorithm
  3. Write Report: Build full markdown report in memory per shared/templates/audit_worker_report_template.md, write to {output_dir}/ln-652--global.md in single Write call
  4. Return Summary: Return minimal summary to coordinator (see Output Format)

Audit Rules (Priority: HIGH)

1. Missing Intermediate Commits

What: UPDATE without commit when DB trigger/NOTIFY depends on transaction commit

Detection:

  • Step 1: Find triggers in migrations:

- Grep for pg_notify|NOTIFY|CREATE TRIGGER|CREATE OR REPLACE FUNCTION.*trigger in alembic/versions/, migrations/ - Extract: trigger function name, table name, trigger event (INSERT/UPDATE)

  • Step 2: Find code that UPDATEs trigger-affected tables:

- Grep for repo.*update|session\.execute.*update|\.progress|\.status related to trigger tables

  • Step 3: Check for commit() between sequential updates:

- If multiple UPDATEs to trigger table occur in a loop/sequence without intermediate commit(), NOTIFY events are deferred until final commit - Real-time progress tracking breaks without intermediate commits

Severity:

  • CRITICAL: Missing commit for NOTIFY/LISTEN-based real-time features (SSE, WebSocket)
  • HIGH: Missing commit for triggers that update materialized data

Exception: Single atomic operation with no intermediate observable state -> downgrade CRITICAL to MEDIUM. Transaction scope documented as intentional (ADR, architecture comment) -> downgrade one level

Recommendation:

  • Add session.commit() at progress milestones (throttled: every N%, every T seconds)
  • Or move real-time notifications out of DB triggers (Redis pub/sub, in-process events)

Effort: S-M (add strategic commits or redesign notification path)

2. Transaction Scope Too Wide

What: Single transaction wraps unrelated operations, including slow external calls

Detection:

  • Find async with session.begin() or explicit transaction blocks
  • Check if block contains external calls: await httpx., await aiohttp., await requests., await grpc.
  • Check if block contains file I/O: open(, .read(, .write(
  • Pattern: DB write + external API call + another DB write in same transaction

Severity:

  • HIGH: External HTTP/gRPC call inside transaction (holds DB connection during network latency)
  • MEDIUM: File I/O inside transaction

Recommendation: Split into separate transactions; use Saga/Outbox pattern for cross-service consistency

Effort: M-L (restructure transaction boundaries)

3. Transaction Scope Too Narrow

What: Logically atomic operations split across multiple commits

Detection:

  • Multiple session.commit() calls for operations that should be atomic
  • Pattern: create parent entity, commit, create child entities, commit (should be single transaction)
  • Pattern: update status + create audit log in separate commits

Severity:

  • HIGH: Parent-child creation in separate commits (orphan risk on failure)
  • MEDIUM: Related updates in separate commits (inconsistent state on failure)

Recommendation: Wrap related operations in single transaction using async with session.begin() or unit-of-work pattern

Effort: M (restructure commit boundaries)

4. Missing Rollback Handling

What: session.commit() without proper error handling and rollback

Detection:

  • Find session.commit() not inside try/except block or context manager
  • Find session.commit() in try without session.rollback() in except
  • Pattern: bare await session.commit() in service methods
  • Exception: async with session.begin() auto-rollbacks (safe)

Severity:

  • MEDIUM: Missing rollback (session left in broken state on failure)
  • LOW: Missing explicit rollback when using context manager (auto-handled)

Recommendation: Use async with session.begin() (auto-rollback), or add explicit try/except/rollback pattern

Effort: S (wrap in context manager or add error handling)

5. Long-Held Transaction

What: Transaction open during slow/blocking operations

Detection:

  • Measure scope: count lines between transaction start and commit
  • Flag if >50 lines of code between begin() and commit()
  • Flag if transaction contains await calls to external services (network latency)
  • Flag if transaction contains time.sleep() or asyncio.sleep()

Severity:

  • HIGH: Transaction held during external API call (connection pool exhaustion risk)
  • MEDIUM: Transaction spans >50 lines (complex logic, high chance of lock contention)

Recommendation: Minimize transaction scope; prepare data before opening transaction, commit immediately after DB operations

Effort: M (restructure code to minimize transaction window)

6. Event Channel Name Consistency

What: Publisher channel/topic name does not match subscriber channel/topic name

Detection:

  • Step 1: Collect publisher channel names (extend Phase 2 trigger discovery):

- Migration triggers: extract string argument from pg_notify('channel_name',...), NOTIFY channel_name - Application code: Grep for \.publish\(["']|\.emit\(["']|redis.*publish\(["']|\.send_to\(["'] in src/, app/ - Extract: {channel_name, source_file, source_line, technology}

  • Step 2: Collect subscriber channel names:

- PostgreSQL: Grep for LISTEN\s+(\w+) in application code (not just migrations) - Redis: Grep for \.subscribe\(["']([^"']+) in src/, app/ - EventEmitter/WebSocket: Grep for \.on\(["']([^"']+) in handler/listener directories - Extract: {channel_name, source_file, source_line, technology}

  • Step 3: Cross-reference publishers vs subscribers:

- Exact match: publisher.channel_name == subscriber.channel_name -> OK - Near-miss: Levenshtein distance <= 2 OR one is substring of the other -> flag as MISMATCH - Orphaned publisher: channel exists in publishers but not in subscribers -> flag as ORPHAN - Orphaned subscriber: channel exists in subscribers but not in publishers -> flag as ORPHAN

Layer 2 Context Analysis (MANDATORY):

  • If channel name comes from shared config constant or env var (e.g., CHANNEL = os.environ["EVENT_CHANNEL"]) and both publisher and subscriber use same source -> NOT a mismatch
  • If channel uses dynamic suffix pattern (e.g., job_events:{job_id}) and both sides use same template -> NOT orphaned
  • Exclude test files (**/test*/**, **/*.test.*) from both publisher and subscriber discovery

Severity:

  • CRITICAL: Channel name mismatch (near-miss: publisher sends to job_events, subscriber listens on job_event)
  • HIGH: Orphaned publisher -- events sent but never consumed (data loss risk if events carry state changes)
  • MEDIUM: Orphaned subscriber -- listener registered but no publisher found (dead code or future feature)

Recommendation:

  • For mismatches: unify channel name to a single constant shared between publisher and subscriber
  • For orphaned publishers: add subscriber or remove unused NOTIFY/publish
  • For orphaned subscribers: add publisher or remove dead listener

Effort: S (fix typo/add constant) to M (design missing subscriber/publisher)

Scoring Algorithm

MANDATORY READ: Load shared/references/audit_worker_core_contract.md and shared/references/audit_scoring.md.

Output Format

MANDATORY READ: Load shared/references/audit_worker_core_contract.md and shared/templates/audit_worker_report_template.md.

Write JSON summary per shared/references/audit_summary_contract.md. In managed mode the caller passes both runId and summaryArtifactPath; in standalone mode the worker generates its own run-scoped artifact path per shared contract.

Write report to {output_dir}/ln-652--global.md with category: "Transaction Correctness" and checks: missing_intermediate_commits, scope_too_wide, scope_too_narrow, missing_rollback, long_held_transaction, event_channel_consistency.

Return summary per shared/references/audit_summary_contract.md.

When summaryArtifactPath is absent, write the standalone runtime summary under .hex-skills/runtime-artifacts/runs/{run_id}/evaluation-worker/{worker}--{identifier}.json and optionally echo the same summary in structured output.

Report written: .hex-skills/runtime-artifacts/runs/{run_id}/audit-report/ln-652--global.md
Score: X.X/10 | Issues: N (C:N H:N M:N L:N)

Critical Rules

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

  • Do not auto-fix: Report only
  • Trigger discovery first: Always scan migrations for triggers/NOTIFY before analyzing transaction patterns
  • ORM-aware: Check if ORM context manager auto-rollbacks (async with session.begin() is safe)
  • Exclude test transactions: Do not flag test fixtures with manual commit/rollback
  • Database-specific: PostgreSQL NOTIFY semantics differ from MySQL event scheduler

Definition of Done

MANDATORY READ: Load shared/references/audit_worker_core_contract.md.

  • contextStore parsed successfully (including output_dir)
  • scan_path determined
  • Trigger/NOTIFY infrastructure discovered from migrations
  • All 6 checks completed:

- missing intermediate commits, scope too wide, scope too narrow, missing rollback, long-held, event channel consistency

  • Findings collected with severity, location, effort, recommendation
  • Score calculated using penalty algorithm
  • Report written to {output_dir}/ln-652--global.md (atomic single Write call)
  • Summary written per contract

Reference Files

  • Audit output schema: shared/references/audit_output_schema.md

Version: 1.1.0 Last Updated: 2026-03-15

平台分布

Codex

36.34%
按下载量换算736

Claude

30.33%
按下载量换算614

Cursor

19.27%
按下载量换算390

Gemini CLI

8.1%
按下载量换算164

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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