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Agent Skill · 研究检索

sdd-archive(SDD 档案)

sdd-archive 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。

sdd-archive 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 56,510。

总安装 449周安装 18GitHub Stars 公开资料未说明下载 145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:sdd-archive(SDD 档案)
来源仓库:https://github.com/fearovex/claude-config
仓库路径:skills/sdd-archive
安装命令:
npx skills add https://github.com/fearovex/claude-config --skill sdd-archive
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/fearovex/claude-config --skill sdd-archive

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。

sdd-archive 归档已完成变更,生成不可逆的闭环报告并更新项目记忆。适用于 SDD 开发周期收尾阶段的成果固化。执行前必须获得用户确认,因操作无法撤销。建议保留历史记录供审计和未来参考。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/sdd-archive

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/fearovex/claude-config --skill sdd-archive;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

sdd-archive 怎么安装?

在终端执行 npx skills add https://github.com/fearovex/claude-config --skill sdd-archive。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sdd-archive 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。

sdd-archive 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。

sdd-archive 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。

sdd-archive 用的人多吗?

公开数据是累计安装 449 次,近一周安装 18 次,下载 145 次。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。

sdd-archive 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
sdd-archive

SDD 档案 · 本页

449—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

sdd-archive

Closes a completed SDD change and persists an archive report.

Triggers: /sdd-archive <change-name>, archive change, finalize sdd cycle, close change, sdd archive


Purpose

Archiving is the final step of the SDD cycle. It validates completeness, saves a closure record, and updates the project memory layer. It is irreversible — I confirm with the user before executing.


Process

Skill Resolution

When the orchestrator launches this sub-agent, it resolves the skill path using:

1. .claude/skills/sdd-archive/SKILL.md     (project-local — highest priority)
2. ~/.claude/skills/sdd-archive/SKILL.md   (global catalog — fallback)

Project-local skills override the global catalog. See docs/SKILL-RESOLUTION.md for the full algorithm.


Step 1 — Verify it is archivable

Completeness Check

Before reading the verify report, I check for required SDD artifacts in engram. Artifact exists if mem_search returns results.

CRITICAL artifacts (block with no proceed option): proposal, tasks

WARNING artifacts (present two-option prompt): design, specs

Check order:

  1. Check CRITICAL artifacts first. If any are absent:
CRITICAL — Cannot archive "[change-name]"

The following artifacts are required for a valid SDD cycle but are missing:
  - proposal   (required — CRITICAL)
  - tasks      (required — CRITICAL)

Return and complete the missing phases before archiving.
No proceed option is available.

List only the artifacts that are actually absent. Halt immediately. Do NOT evaluate WARNING artifacts.

  1. If CRITICAL passes, check WARNING artifacts. If any are absent:
WARNING — Incomplete cycle detected for "[change-name]"

The following artifacts are missing:
  - design     (recommended — WARNING)
  - specs      (recommended — WARNING)

Choose:
  1. Return and complete the missing phases (/sdd-spec, /sdd-design)
  2. Archive anyway — I acknowledge these phases were intentionally skipped

Reply 1 or 2:

List only the artifacts that are actually absent. Wait for the user to reply:

  • Option 1 selected: halt. The user returns to complete the missing phases.
  • Option 2 selected: record the skipped phases (for use in Step 4 closure) and continue.
  1. If all CRITICAL and WARNING artifacts are present: produce no output and continue immediately.

Note: exploration is explicitly excluded from this check. Its absence MUST NOT trigger any CRITICAL or WARNING output.


I read the verify report artifact if it exists:

  • mem_search(query: "sdd/{change-name}/verify-report") → mem_get_observation(id).

If there are unresolved CRITICAL issues:

No archiving allowed.

The verification report has [N] critical issues:
- [issue 1]
- [issue 2]

Resolve the issues and run /sdd-verify again before archiving.

If there is no verification report, I inform the user and ask whether to proceed anyway.

User-docs review checkbox (non-blocking):

After reading the verify-report (if it exists), surface the user-docs review item status:

User docs review checkbox: [CHECKED / UNCHECKED / ABSENT]
  • CHECKED: verify-report contains [x] Review user docs — good
  • UNCHECKED: verify-report contains [] Review user docs — remind the user to check if this change affects user-facing docs
  • ABSENT: the checkbox is not in the verify-report — no action needed (older changes pre-date this requirement)

This check is non-blocking — the archive operation continues regardless of the checkbox state.

Step 2 — Confirm with the user

Do you confirm archiving the change "[change-name]"?

This will perform the following actions:
1. Save an archive closure report to engram
2. Update ai-context/ with decisions from this change

[PASS WITH WARNINGS — warnings were left unresolved]
[or: Verification: PASS]

Continue? [y/n]

Step 3 — Update feature files (optional)

If ai-context/features/ exists and any domain specs were produced for this change, check whether the delta specs introduced new business rules, invariants, or gotchas that should be reflected in the permanent feature files.

For each affected domain:

  • If a matching feature file exists: append new business rules or invariants to the appropriate sections
  • If no matching feature file exists: skip — feature files are created by /codebase-teach or /memory-init, not by archive

This step is non-blocking. If ai-context/features/ does not exist, skip entirely.

Step 4 — Save closure to engram

Call mem_save with topic_key: sdd/{change-name}/archive-report, type: architecture, content = compact summary:

Archived: {change-name}. Dates: {start} -> {close}. Summary: {1-2 sentences}.
Specs domains: {domain list}. Skipped phases: {list or "none"}.

If Engram MCP is not reachable: skip persistence. Return closure content inline only.

Step 5 — Auto-update memory

After the archive is complete, I automatically update ai-context/ with the decisions and changes from this cycle.

Process:

  1. Read ~/.claude/skills/memory-manage/SKILL.md
  2. Execute the /memory-manage process in "update" mode inline, using the archived change as session context:

- Change name: <change-name> - Artifacts: proposal, specs, design, tasks (from engram)

  1. Report the result

Non-blocking error handling:

  • On success: report in the output: Memory updated: ai-context/ files refreshed with decisions from "[change-name]".
  • On failure (skill not found, write error, any other issue): report a warning and continue: Warning: Memory update failed — [reason]. Archive completed successfully. Suggestion: Run /memory-manage (update mode) manually to update ai-context/.

The archive is always considered successful regardless of the memory-update outcome.

Final output:

Change "[change-name]" successfully archived.

Memory: [updated | failed — reason]

Output to Orchestrator

{
  "status": "ok|warning|failed",
  "summary": "Change [name] archived. Memory: [updated|failed|skipped].",
  "artifacts": ["engram:sdd/{change-name}/archive-report"],
  "next_recommended": [],
  "risks": []
}

Rules

  • NEVER archive with unresolved CRITICAL issues
  • ALWAYS confirm with the user before executing (it is irreversible)
  • CRITICAL artifacts (proposal, tasks) MUST block with no proceed option — the completeness check MUST run before the verify-report is read
  • WARNING artifacts (design, specs) MUST always offer option 2 (acknowledge and proceed) — they MUST NOT silently block

平台分布

Codex

35.36%
按下载量换算51

Claude

30.41%
按下载量换算44

Cursor

19.31%
按下载量换算28

Gemini CLI

10.05%
按下载量换算15

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

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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