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Agent Skill · 研究检索

foundry-review(铸造厂评论)

foundry-review 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。

foundry-review 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,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 66,577。

总安装 261周安装 11GitHub Stars 2下载 92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:foundry-review(铸造厂评论)
来源仓库:https://github.com/tylerburleigh/claude-foundry
仓库路径:skills/foundry-review
安装命令:
npx skills add https://github.com/tylerburleigh/claude-foundry --skill foundry-review
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/tylerburleigh/claude-foundry --skill foundry-review

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。

foundry-review 用于查找、检索和筛选相关信息,支持代码审查与质量评估。适用于对照规范、历史提交或同行反馈进行差异分析与风险识别。通过 npx skills add 从 claude-foundry 仓库安装使用。使用前应确认其是否有权读取私有代码库或生成正式评审意见。

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/foundry-review

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/tylerburleigh/claude-foundry --skill foundry-r…;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

    它需要执行命令,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

foundry-review 怎么安装?

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

foundry-review 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。

foundry-review 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/tylerburleigh/claude-foundry --skill foundry-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

foundry-review 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。

foundry-review 用的人多吗?

公开数据是累计安装 261 次,近一周安装 11 次,下载 92 次,GitHub 2 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。

foundry-review 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
foundry-review

铸造厂评论 · 本页

2612执行命令未明确通过

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

Implementation Fidelity Review Skill

Table of Contents

Overview

The foundry-review skill compares actual implementation against SDD specification requirements. It uses LSP for structural verification and MCP for AI-powered deviation analysis.

Skill Family

Part of the Spec-Driven Development quality assurance family:

foundry-spec → foundry-implement → [CODE] → foundry-review (this skill)

When to Use This Skill

Use when:

  • Verifying implementation matches specification requirements
  • Identifying deviations between plan and actual code
  • Reviewing pull requests for spec compliance
  • Auditing completed phases or tasks

Do NOT use for:

  • Creating specifications (use foundry-spec)
  • Finding next tasks or tracking progress (use foundry-implement)
  • Running tests (run directly via Bash)

Flow

[x?]=decision · (GATE)=user approval · →=sequence · ↻=loop · §=section ref
- **Entry** → [Familiar with code?]
  - [no] → Explore subagent
  - [else] → skip
  - Spec changes → `spec action="diff"` → `spec action="history"`
  - LSP pre-check → `documentSymbol`
    - [structures exist?] → continue
    - [else] → Early exit with findings → **Exit**: Report
  - MCP review → `fidelity action="review"` → Scope: phase or task
    - [deviations found?] → LSP investigate → `goToDefinition` → `findReferences` → `incomingCalls`
  - Assess deviation: Exact, Minor, Major, Missing
  - **Exit** → Report with recommendations

MCP Tooling

This skill uses the Foundry MCP server with router+action pattern: mcp__plugin_foundry_foundry-mcp__<router> with action="<action>".

Critical Rules:

  • ALWAYS use MCP tools for spec operations
  • NEVER use Read() on spec JSON files
  • NEVER use shell commands (cat, grep, jq) on specs

Router Actions

RouterActionPurpose
reviewfidelityRun AI-powered fidelity analysis
taskqueryList tasks for review scope
taskinfoGet task details and acceptance criteria
specdiffCompare spec versions to understand changes
spechistoryView spec modification timeline

Spec Comparison for Fidelity Context

Use spec:diff and spec:history to understand what changed before reviewing implementation:

# See what changed since last review
mcp__plugin_foundry_foundry-mcp__spec action="diff" spec_id="{spec-id}" compare_to="specs/.backups/{spec-id}-previous.json"

# View modification history to understand evolution
mcp__plugin_foundry_foundry-mcp__spec action="history" spec_id="{spec-id}" limit=5

Why this helps fidelity review:

  • diff: Identifies which requirements changed, helping focus review on modified tasks
  • history: Shows when requirements were added/modified, explaining apparent deviations that were actually spec updates

Core Workflow

The fidelity review workflow integrates LSP verification with MCP AI analysis:

Step 1: Gather Context (Optional)

For unfamiliar code, use Explore subagent to find implementation files:

Explore agent (medium thoroughness): Find all files in phase-1, related tests, config files

Step 2: Check Spec Changes

Before reviewing, understand what changed in the spec since the last review:

# Check recent spec modifications
mcp__plugin_foundry_foundry-mcp__spec action="history" spec_id="{spec-id}" limit=5

# Compare current spec against last backup
mcp__plugin_foundry_foundry-mcp__spec action="diff" spec_id="{spec-id}" compare_to="specs/.backups/{spec-id}-last-review.json"

Deviation assessment using diff:

📊 Spec Diff: user-auth-001

Tasks:
  ~ task-1-2: Acceptance criteria updated (added "support OAuth2")
  + task-1-4: New task added after initial implementation

Use this to:
- Focus review on changed requirements (task-1-2)
- Flag new tasks as "not yet implemented" rather than "deviation" (task-1-4)
- Explain apparent deviations that reflect spec evolution

Step 3: LSP Structural Pre-Check

Before the AI review, verify structural requirements with LSP:

# Get symbols in implementation file
symbols = LSP(operation="documentSymbol", filePath="src/auth/service.py", line=1, character=1)

# Compare against spec: expects AuthService with login(), logout(), refresh_token()
# Identify missing symbols before expensive AI review

Why: Catches missing implementations in seconds before 5-minute AI review.

Step 4: MCP Fidelity Review

Run the AI-powered fidelity analysis:

# Phase review
mcp__plugin_foundry_foundry-mcp__review action="fidelity" spec_id="{spec-id}" phase_id="{phase-id}"

# Task review
mcp__plugin_foundry_foundry-mcp__review action="fidelity" spec_id="{spec-id}" task_id="{task-id}"

The MCP tool handles spec loading, implementation analysis, AI consultation, and report generation.

Step 5: LSP-Assisted Investigation

For deviations found, use LSP to investigate:

# Trace deviation origin
definition = LSP(operation="goToDefinition", filePath="src/auth/service.py", line=45, character=10)

# Find what depends on deviated code
calls = LSP(operation="incomingCalls", filePath="src/auth/service.py", line=45, character=10)

# Assess blast radius
refs = LSP(operation="findReferences", filePath="src/auth/service.py", line=45, character=10)

Why: Understand deviation impact before recommending fixes.

CRITICAL: Read references/lsp-integration.md before LSP investigation. Contains required operation patterns.

LSP Operations Quick Reference

OperationWhen to UsePurpose
documentSymbolPre-checkList all symbols in a file for structural verification
workspaceSymbolPre-checkFind symbols across codebase
hoverDuring reviewGet type info and documentation
goToDefinitionInvestigationTrace where symbols are defined
findReferencesInvestigationFind all usages of a symbol
incomingCallsInvestigationFind what calls a function
outgoingCallsInvestigationFind what a function calls

Essential Commands

Query tasks before review:

mcp__plugin_foundry_foundry-mcp__task action="query" spec_id="{spec-id}" parent="{phase-id}"

Phase review:

mcp__plugin_foundry_foundry-mcp__review action="fidelity" spec_id="{spec-id}" phase_id="{phase-id}"

Task review:

mcp__plugin_foundry_foundry-mcp__review action="fidelity" spec_id="{spec-id}" task_id="{task-id}"
For query patterns and anti-patterns, see references/querying.md

Review Types

TypeScopeWhen to Use
Phase Review3-10 tasksPhase completion checkpoints
Task Review1 fileCritical task validation, high-risk implementations
For detailed workflow per review type, see references/review-types.md

Plan-Enhanced Review

When a spec has a linked plan_path, fidelity review automatically includes spec-vs-plan comparison. This is not a separate review type — it augments the standard phase or task review with additional plan alignment checks.

Auto-triggered when: Spec metadata contains plan_path No user action needed: The MCP tool detects plan linkage and enhances the review automatically

The response includes a plan_enhanced boolean indicating whether plan comparison was performed.

Fidelity Assessment Categories

CategoryMeaning
Exact MatchImplementation precisely matches specification
Minor DeviationSmall differences with no functional impact
Major DeviationSignificant differences affecting functionality
MissingSpecified features not implemented

Long-Running Operations

This skill may take up to 5 minutes. The MCP tool handles timeout internally.

Never use run_in_background=True with frequent polling.

Example Invocation

Skill(foundry:foundry-review) "Review phase phase-1 in spec user-auth-001"

Detailed Reference

For comprehensive documentation including:

  • Long-running operations guidance → references/long-running.md
  • Review types → references/review-types.md
  • LSP integration patterns → references/lsp-integration.md
  • Querying spec data → references/querying.md
  • Workflow steps → references/workflow.md
  • Report structure → references/report.md
  • SDD workflow integration → references/integration.md
  • Assessment categories → references/assessment.md
  • Examples → references/examples.md
  • Error handling → references/errors.md
  • Best practices → references/best-practices.md
  • Subagent patterns → references/subagent.md

平台分布

Codex

38.35%
按下载量换算35

Claude

29.07%
按下载量换算27

Cursor

17.08%
按下载量换算16

Gemini CLI

9.38%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/tylerburleigh/claude-foundry --skill foundry-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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