Token导航 LogoToken导航

Agent Skill · 研究检索

ln-500-story-quality-gate(ln 500 层质量门)

ln-500-story-quality-gate 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ln-500-story-quality-gate 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,权限为接触敏感数据;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 17,854。

总安装 6,384周安装 266GitHub Stars 437下载 2,128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-500-story-quality-gate(ln 500 层质量门)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-500-story-quality-gate
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-500-story-quality-gate
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-500-story-quality-gate

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。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。支持基于关键词、任务场景或来源线索进行信息检索与筛选。通过 npx skills add 命令从指定 GitHub 仓库安装使用。安装前需确认权限范围、维护状态及是否涉及联网或文件操作。

ln-500-story-quality-gate 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-500-story-quality-gate

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-5…;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

    它需要接触敏感数据,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-500-story-quality-gate 怎么安装?

在终端执行 npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-500-story-q…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ln-500-story-quality-gate 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-500-story-quality-gate 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

ln-500-story-quality-gate 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-500-story-quality-gate 用的人多吗?

公开数据是累计安装 6,384 次,近一周安装 266 次,下载 2,128 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-500-story-quality-gate 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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-500-story-quality-gate

ln 500 层质量门 · 本页

6,384437接触敏感数据未明确有提醒

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}.

Type: L2 Coordinator Category: 5XX Quality

Story Quality Gate

Runtime-backed gate coordinator. Owns fast-track routing, quality/test summaries, final Story verdict, and branch finalization.

Inputs

InputRequiredSourceDescription
storyIdYesargs, git branch, kanban, userStory to process

Resolution: Story Resolution Chain. Status filter: To Review

Purpose & Scope

  • Invoke ln-510-quality-coordinator
  • Invoke ln-520-test-planner when needed
  • Wait deterministically for test-task readiness
  • Calculate gate verdict: PASS | CONCERNS | FAIL | WAIVED
  • Move Story to Done only on passing outcomes
  • Persist resumable gate runtime in .hex-skills/story-gate/runtime/

Runtime Contract

MANDATORY READ: Load shared/references/environment_state_contract.md, shared/references/storage_mode_detection.md, shared/references/input_resolution_pattern.md MANDATORY READ: Load shared/references/coordinator_runtime_contract.md, shared/references/story_gate_runtime_contract.md, shared/references/coordinator_summary_contract.md, shared/references/loop_health_contract.md MANDATORY READ: Load shared/references/git_worktree_fallback.md MANDATORY READ: Load references/minimum_quality_checks.md

Runtime CLI:

node shared/scripts/story-gate-runtime/cli.mjs start --story {storyId} --manifest-file .hex-skills/story-gate/manifest.json
node shared/scripts/story-gate-runtime/cli.mjs status
node shared/scripts/story-gate-runtime/cli.mjs record-quality --payload '{...}'
node shared/scripts/story-gate-runtime/cli.mjs record-test-status --payload '{...}'
node shared/scripts/story-gate-runtime/cli.mjs record-stage-summary --story {storyId} --payload '{...}'
node shared/scripts/story-gate-runtime/cli.mjs checkpoint --phase PHASE_6_VERDICT --payload '{...}'
node shared/scripts/story-gate-runtime/cli.mjs advance --to PHASE_7_FINALIZATION

4-Level Gate Model

VerdictMeaningAction
PASSAll checks passedStory -> Done
CONCERNSMinor issues, accepted riskStory -> Done with comment
FAILBlocking issues foundCreate follow-up tasks; Story does not go to Done
WAIVEDUser-approved exceptionStory -> Done with waiver evidence

Workflow

Phase 0: Config

  1. Resolve storyId and task_provider.
  2. Check for prior Stage 3 artifact at .hex-skills/runtime-artifacts/runs/*/story-quality/{storyId}.json:

- If found with verdict=FAIL, load payload.metadata.rework_hint as previous_cycle context. - Record cycle_number (1-based, incremented from prior artifact count).

  1. Build gate manifest:

- story_id - task_provider - project_root - worktree_dir - branch - fast_track_policy - nfr_policy - test_task_policy - previous_cycle (null or loaded rework_hint) - cycle_number

  1. Start runtime and checkpoint PHASE_0_CONFIG.

Phase 1: Discovery

  1. Load Story metadata and child task metadata.
  2. Detect existing test task and its current status.
  3. Capture readiness inputs if available from upstream pipeline.
  4. Checkpoint PHASE_1_DISCOVERY.

Phase 2: Fast-Track

  1. Determine fast_track=true only when readiness explicitly allows it.
  2. Checkpoint PHASE_2_FAST_TRACK with:

- fast_track - gate scope summary

Phase 3: Quality Checks

  1. Compute:

- childRunId = {parent_run_id}--ln-510--{storyId} - childSummaryArtifactPath =.hex-skills/runtime-artifacts/runs/{parent_run_id}/story-quality/{storyId}.json

  1. Materialize child manifest and start child coordinator runtime:

- node shared/scripts/quality-runtime/cli.mjs start --story {storyId} --manifest-file.hex-skills/story-gate/ln-510--{storyId}_manifest.json --run-id {childRunId}

  1. Checkpoint PHASE_3_QUALITY_CHECKS with:

- child_run.worker=ln-510 - child_run.run_id={childRunId} - child_run.summary_artifact_path={childSummaryArtifactPath} - child_run.phase_context=quality_checks

  1. Invoke ln-510-quality-coordinator with managed transport inputs:

- full mode: Skill(skill: "ln-510-quality-coordinator", args: "{storyId} --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}") - fast-track: Skill(skill: "ln-510-quality-coordinator", args: "{storyId} --fast-track --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}") - full mode with prior cycle: append --previous-cycle-focus "{blocking_categories}" when previous_cycle is not null

  1. Read child story-quality artifact only, then record-quality.
  2. Before another quality/rework cycle, compare FAIL evidence against prior cycle:

- progress = new quality artifact, new fix tasks, code delta, status delta, or changed blocking category - same FAIL with no new evidence = record loop health and pause before another rework cycle

  1. Checkpoint PHASE_3_QUALITY_CHECKS with the recorded quality summary.
  2. If the quality summary already implies hard FAIL, you may jump directly to PHASE_6_VERDICT.

Phase 4: Test Planning

  1. Decide whether planning is needed:

- no test task -> invoke ln-520 - fast-track -> invoke simplified ln-520 - test task already exists and is terminal (Done | SKIPPED | VERIFIED) -> checkpoint as reused

  1. When invoking ln-520, compute:

- childRunId = {parent_run_id}--ln-520--{storyId} - childSummaryArtifactPath =.hex-skills/runtime-artifacts/runs/{parent_run_id}/story-tests/{storyId}.json

  1. Materialize child manifest and start child coordinator runtime:

- node shared/scripts/test-planning-runtime/cli.mjs start --story {storyId} --manifest-file.hex-skills/story-gate/ln-520--{storyId}_manifest.json --run-id {childRunId}

  1. Checkpoint PHASE_4_TEST_PLANNING with:

- child_run.worker=ln-520 - child_run.run_id={childRunId} - child_run.summary_artifact_path={childSummaryArtifactPath} - child_run.phase_context=test_planning

  1. Invoke ln-520-test-planner with managed transport inputs:

- normal mode: Skill(skill: "ln-520-test-planner", args: "{storyId} --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}") - simplified mode: Skill(skill: "ln-520-test-planner", args: "{storyId} --simplified --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}")

  1. Read child story-tests artifact only, then record-test-status.
  2. Checkpoint PHASE_4_TEST_PLANNING.

Phase 5: Test Verification

  1. If test task exists but is not Done, pause runtime:

- phase = PAUSED - resume_action = wait for test task completion

  1. When resumed, verify:

- test task terminal status is Done, SKIPPED, or VERIFIED - coverage summary exists - planned scenarios and Story AC coverage are machine-readable

  1. Checkpoint PHASE_5_TEST_VERIFICATION with:

- test_task_status - verification result

Phase 6: Verdict

  1. Calculate quality_score.
  2. Evaluate NFR validation:

- full gate: security, performance, reliability, maintainability - fast-track: security mandatory, others may downgrade to concerns-only scope

  1. End-to-End Scenario Completeness Walkthrough: For each AC where an actor (user, bot, scheduler, handler, pipeline) must invoke or consume a mechanism, trace all 5 segments of the interaction path:

- (1) Actor trigger — what initiates the scenario (user sends message, timer fires, webhook arrives, event is enqueued) - (2) Entry point — the named mechanism (MCP tool, API endpoint, CLI command, UI component, chat handler, config file, cron handler) - (3) Discovery — how the actor's system finds/loads the mechanism at runtime (config registration, route mounting, plugin loading, system prompt, environment variable) - (4) Usage context — what the actor's system needs to correctly invoke the mechanism (instructions, prompts, schemas, type hints, documentation, parameter guidance) - (5) Observable outcome — the verifiable result (response message, state change, log entry, notification) If any segment is missing, create an AC- prefixed issue. Common failures: infrastructure exists but nothing exposes it (missing segment 2), mechanism exists but the actor's system can't find it (missing segment 3), mechanism is discoverable but the actor's system doesn't know when or how to use it (missing segment 4). If any AC- issue is found: verdict MUST be FAIL; create fix tasks for the missing segments.

  1. Determine final verdict.
  2. For FAIL:

- create follow-up tasks - keep Story out of Done

  1. Checkpoint PHASE_6_VERDICT with:

- final_result - quality_score - nfr_validation - fix_tasks_created

Phase 7: Finalization

For PASS | CONCERNS | WAIVED:

  1. Commit and push verified branch if needed.
  2. Move Story to Done.
  3. Post gate comment.
  4. Cleanup worktree when caller does not own it.

For FAIL:

  1. Do not finalize branch as accepted.
  2. Create follow-up tasks from blocking issues.
  3. Checkpoint PHASE_7_FINALIZATION with status=requires_rework.
  4. Record resulting Story status, follow-up task IDs.

After finalization, write a Stage 3 coordinator artifact with:

  • summary_kind=pipeline-stage
  • stage=3
  • story_id
  • status=completed
  • final_result
  • story_status
  • verdict
  • quality_score
  • warnings
  • metadata.rework_hint — when verdict is FAIL, include:

- rework_tasks: list of created follow-up task IDs - blocking_categories: list of issue categories that caused FAIL (e.g. ac_gap, security, regression) - suggested_focus: concise one-line description of what the rework cycle should prioritize

Phase 8: Self-Check

Build final checklist from runtime state:

  • Config, discovery, and fast-track checkpoints exist
  • Quality summary recorded from ln-510
  • Test-planning and test-verification state are deterministic
  • Final verdict checkpoint exists
  • Story final status recorded
  • Branch finalization recorded or skipped by verdict
  • Stage 3 coordinator artifact recorded

Checkpoint PHASE_8_SELF_CHECK with pass=true|false. Complete runtime only after pass=true.

Worker Invocation (MANDATORY)

PhaseWorkerPurpose
3ln-510-quality-coordinatorCode quality, agent review, regression, log analysis
4ln-520-test-plannerResearch/manual/auto test planning
childRunId = "{parent_run_id}--ln-510--{storyId}"
childSummaryArtifactPath = ".hex-skills/runtime-artifacts/runs/{parent_run_id}/story-quality/{storyId}.json"
node shared/scripts/quality-runtime/cli.mjs start --story {storyId} --manifest-file .hex-skills/story-gate/ln-510--{storyId}_manifest.json --run-id {childRunId}
node shared/scripts/story-gate-runtime/cli.mjs checkpoint --phase PHASE_3_QUALITY_CHECKS --payload '{"child_run":{"worker":"ln-510","run_id":"{childRunId}","summary_artifact_path":"{childSummaryArtifactPath}","phase_context":"quality_checks"}}'
Skill(skill: "ln-510-quality-coordinator", args: "{storyId} --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}")

childRunId = "{parent_run_id}--ln-520--{storyId}"
childSummaryArtifactPath = ".hex-skills/runtime-artifacts/runs/{parent_run_id}/story-tests/{storyId}.json"
node shared/scripts/test-planning-runtime/cli.mjs start --story {storyId} --manifest-file .hex-skills/story-gate/ln-520--{storyId}_manifest.json --run-id {childRunId}
node shared/scripts/story-gate-runtime/cli.mjs checkpoint --phase PHASE_4_TEST_PLANNING --payload '{"child_run":{"worker":"ln-520","run_id":"{childRunId}","summary_artifact_path":"{childSummaryArtifactPath}","phase_context":"test_planning"}}'
Skill(skill: "ln-520-test-planner", args: "{storyId} --run-id {childRunId} --summary-artifact-path {childSummaryArtifactPath}")

TodoWrite format (mandatory)

- Start ln-500 runtime (pending)
- Load Story/test-task metadata (pending)
- Decide fast-track mode (pending)
- Start ln-510 child runtime, checkpoint child_run, and record quality summary (pending)
- Start or reuse ln-520 child runtime, checkpoint child_run, and record test-planning summary (pending)
- Verify test task readiness (pending)
- Calculate final verdict (pending)
- Finalize Story/branch state and Stage 3 artifact (pending)
- Run runtime self-check and complete (pending)

Critical Rules

  • Runtime state is the gate orchestration SSOT.
  • ln-510 and ln-520 are consumed only through summary JSON artifacts.
  • Child coordinator runtime status is resume-only metadata; phase completion still depends on the recorded child artifact.
  • Test-task waiting is a deterministic pause, not an implicit stop.
  • FAIL is a valid terminal gate result if follow-up actions are recorded correctly.
  • ln-1000 consumes the Stage 3 coordinator artifact, not free-text stage output.
  • Story may go to Done only on PASS, CONCERNS, or WAIVED.

Definition of Done

  • Runtime started and config/discovery checkpoints recorded
  • Fast-track decision checkpointed
  • ln-510 summary recorded in runtime
  • ln-520 summary recorded or reused deterministically
  • Test verification reached terminal state or deterministic pause
  • Final verdict checkpointed with quality score and NFR results
  • Story moved to Done only for passing outcomes, or follow-up tasks created for FAIL
  • Stage 3 coordinator artifact recorded before completion
  • Self-check passed and runtime completed

Phase 9: Meta-Analysis

MANDATORY READ: Load shared/references/meta_analysis_protocol.md

Skill type: execution-orchestrator. Run after phases complete. Output to chat using the execution-orchestrator format.

Reference Files

  • shared/references/coordinator_runtime_contract.md
  • shared/references/story_gate_runtime_contract.md
  • shared/references/coordinator_summary_contract.md
  • references/minimum_quality_checks.md
  • ../ln-510-quality-coordinator/SKILL.md
  • ../ln-520-test-planner/SKILL.md

Version: 7.0.0 Last Updated: 2026-02-09

平台分布

Codex

33.95%
按下载量换算722

Claude

31.91%
按下载量换算679

Cursor

21.57%
按下载量换算459

Gemini CLI

10.25%
按下载量换算218

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

继续浏览同类 Skills