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Agent Skill · 研究检索

feature-evaluator(特征评估器)

feature-evaluator 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。

feature-evaluator 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 68,654。

总安装 225周安装 9GitHub Stars 公开资料未说明下载 73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:feature-evaluator(特征评估器)
来源仓库:https://github.com/rendis/feature-evaluator
仓库路径:skills/feature-evaluator
安装命令:
npx skills add https://github.com/rendis/feature-evaluator --skill feature-evaluator
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/rendis/feature-evaluator --skill feature-evaluator

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。

集成 MCP 协议的功能评估系统,支持规则驱动和分段目标。提供功能标志捆绑包管理和实时 HTTP 请求执行能力。通过 OpenAPI 规范自动生成可调用的 MCP 工具集合。适用于需要细粒度功能控制和 A/B 测试的平台架构。feature-evaluator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

通过 GitHub 安装,支持 Claude Code 等专业开发环境。

来源仓库内路径:skills/feature-evaluator

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/rendis/feature-evaluator --skill feature-evalu…;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

feature-evaluator 怎么安装?

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

feature-evaluator 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。

feature-evaluator 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。

feature-evaluator 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。

feature-evaluator 用的人多吗?

公开数据是累计安装 225 次,近一周安装 9 次,下载 73 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。

feature-evaluator 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
feature-evaluator

特征评估器 · 本页

225—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

Feature Evaluator MCP

MCP integration for the Feature Evaluator — a feature flag system with rule-based evaluation, segment targeting, and pack-based feature bundling.

MCP Proxy

This project uses mcp-openapi-proxy to auto-generate MCP tools from the OpenAPI spec. Each API endpoint becomes a callable tool that executes real HTTP requests.

Repository: https://github.com/rendis/mcp-openapi-proxy Install: go install github.com/rendis/mcp-openapi-proxy/cmd/mcp-openapi-proxy@latest Docs: See mcp-openapi-proxy README for full configuration, authentication, and troubleshooting.

Setup

Claude Code

The project includes a .mcp.json — Claude Code auto-detects it. No manual setup needed.

make server       # Start API on port 8080
# MCP auto-configured via .mcp.json → mcp-openapi-proxy reads the Swagger spec

Verify: claude mcp list → should show feature-evaluator connected.

OpenAI Codex

Edit ~/.codex/config.toml:

[mcp_servers.feature-evaluator]
command = "mcp-openapi-proxy"
args = []

[mcp_servers.feature-evaluator.env]
MCP_SPEC = "https://raw.githubusercontent.com/rendis/feature-evaluator/main/server/docs/swagger.yaml"
MCP_BASE_URL = "<your-api-url>/features"
MCP_TOOL_PREFIX = "fe"

Gemini CLI

Edit ~/.gemini/settings.json (global) or .gemini/settings.json (project):

{
  "mcpServers": {
    "feature-evaluator": {
      "command": "mcp-openapi-proxy",
      "args": [],
      "env": {
        "MCP_SPEC": "https://raw.githubusercontent.com/rendis/feature-evaluator/main/server/docs/swagger.yaml",
        "MCP_BASE_URL": "<your-api-url>/features",
        "MCP_TOOL_PREFIX": "fe"
      }
    }
  }
}

Regenerate Swagger (after handler changes)

make swagger      # generates server/docs/swagger.yaml from handler annotations

OIDC Authentication (production)

mcp-openapi-proxy login     # browser-based OIDC PKCE login
mcp-openapi-proxy status    # check auth status
mcp-openapi-proxy logout    # clear stored tokens

Available MCP Tools

Each API endpoint becomes a callable MCP tool. Tool naming pattern: fe_{operation}.

Key Tools

ToolPurpose
fe_list_featuresList all features
fe_create_featureCreate a feature
fe_get_featureGet feature by key
fe_update_featureUpdate a feature
fe_delete_featureDelete a feature
fe_toggle_featureEnable/disable a feature
fe_list_rulesList rules for a feature
fe_create_ruleCreate a rule
fe_evaluateEvaluate a single feature
fe_bulk_evaluateBulk evaluate features
fe_evaluate_allEvaluate all active features
fe_list_packsList packs
fe_list_segmentsList segments
fe_list_experimentsList experiments
fe_validate_expressionValidate expression syntax
fe_test_expressionTest expression with context
fe_expression_schemaAvailable expression fields/functions
fe_dashboard_statsDashboard statistics

All tools follow the fe_* prefix convention. Run any fe_list_* tool to discover available resources.

Quick Start Workflow

1. fe_list_features                → discover existing features
2. fe_get_feature { key: "..." }   → inspect a specific feature
3. fe_list_rules { key: "..." }    → see targeting rules
4. fe_evaluate { featureKey: "...", context: {...} }  → evaluate a feature
5. fe_expression_schema            → see available expression fields/functions
6. fe_validate_expression { expression: "..." }       → validate rule syntax

API Groups

All routes under base path /features.

Health (no auth)

  • GET /healthz, GET /readyz

Evaluation (Bearer OR X-Api-Key + rate limited)

  • POST /eval — evaluate single feature
  • POST /eval/bulk — evaluate multiple features
  • POST /eval/active — evaluate all active features
  • POST /eval/conversions — record experiment conversion

OFREP (OpenFeature Remote Evaluation Protocol)

  • POST /ofrep/v1/evaluate/flags/:key — single flag (separate base path)
  • POST /ofrep/v1/evaluate/flags — bulk flags

Features (Bearer JWT)

  • CRUD: GET/POST/PUT/DELETE /admin/features, /admin/features/:key
  • PATCH /admin/features/:key/toggle — enable/disable
  • GET /admin/environments — list environments

Rules (Bearer JWT)

  • CRUD: GET/POST/PUT/DELETE /admin/features/:key/rules
  • PUT /admin/features/:key/rules/reorder
  • POST/GET /admin/features/:key/expression/test, /expression-schema

Expression Tools (Bearer JWT)

  • POST /admin/expression/validate — validate syntax
  • POST /admin/expression/test — test with context
  • GET /admin/expression/schema — available fields/functions

Schedules (Bearer JWT)

  • POST/GET /admin/features/:key/schedules
  • DELETE /admin/schedules/:id

Packs (Bearer JWT)

  • CRUD: GET/POST/PUT/DELETE /admin/packs, /admin/packs/:key
  • PATCH /admin/packs/:key/toggle
  • POST/DELETE /admin/packs/:key/activate — activate/deactivate on target
  • GET /admin/packs/:key/activations, /admin/packs/by-target

Segments (Bearer JWT)

  • CRUD: GET/POST/PUT/DELETE /admin/segments, /admin/segments/:key
  • GET /admin/segments/:key/schema, /admin/segments/:key/records
  • POST /admin/segments/:key/data/import

Experiments (Bearer JWT)

  • CRUD: GET/POST/PUT /admin/experiments, /admin/experiments/:id
  • Lifecycle: POST /admin/experiments/:id/{start,pause,complete,declare-winner}
  • GET /admin/experiments/:id/results

Tags, Members, API Keys, Auth Profiles, External APIs

  • CRUD at /admin/tags, /admin/members, /admin/api-keys, /admin/auth-profiles, /admin/external-apis

Dashboard & Metrics (Bearer JWT)

  • GET /admin/dashboard/{stats,activity,error-summary,operations}
  • GET /admin/dashboard/metrics/{overview,features,reasons,tenants,environments,cache,external}

Audit & Changelog (Bearer JWT)

  • GET /admin/audit/errors
  • GET /admin/changelog, /admin/changelog/:entityType/:entityKey

Workspaces (Bearer JWT)

  • CRUD: GET/POST/PUT/DELETE /admin/workspaces, /admin/workspaces/:key
  • POST /admin/workspaces/:key/{archive,restore}

Tiers (Bearer JWT, read-only)

  • GET /admin/tiers

Expression Language (expr-lang)

Rules use expr-lang/expr. Full reference: references/expressions.md

Eval Request

{
  "featureKey": "my-feature",
  "context": {
    "user": { "id": "u-1", "email": "alice@empresa.com", "role": "admin" },
    "tenant": { "id": "t-1" },
    "campus": { "id": "c-1" },
    "program": { "id": "p-1" },
    "custom": { "country": "US" },
    "billing": { "plan": "pro" }
  },
  "environment": "production"
}

Evaluation Inputs

  • environment can be sent in the eval request body.
  • X-Environment overrides body environment on eval endpoints.
  • environment is used as a feature-level eligibility gate before rule evaluation. It is not documented as an expression variable.
  • Each context namespace becomes a top-level variable in expressions (user.*, tenant.*, custom.*, billing.*, etc.).
  • custom is valid and already supported.
  • Any additional namespace under context is also exposed as a top-level variable.

See references/expressions.md for the full precedence and evaluation behavior.

System Headers vs Expression Headers

System headers affect request handling, auth, workspace resolution, or context fallbacks. They are not exposed to headers.* automatically just because they were sent.

HeaderBackend roleContext fallbackDerived/auth inputWorkspace/input scopeAuto in expressions?
AuthorizationBearer auth for eval/adminNoYesNoNo
X-Api-KeyAPI key auth for eval/adminNoYesNoNo
X-EnvironmentOverrides body environmentNoNoNoNo
X-Tenant-IDTenant extraction middlewarecontext.tenant.id only if context.tenant is absentNoNoNo
X-Campus-IDCampus extraction middlewarecontext.campus.id only if context.campus is absentNoNoNo
X-Program-IDProgram extraction middlewarecontext.program.id only if context.program is absentNoNoNo
X-WorkspaceWorkspace resolutionNoNoYesNo
X-Request-IDRequest correlationNoNoNoNo

headers.* only contains headers explicitly declared in the feature InputContract. If a feature maps a header like X-Region to expression key region, the rule can read headers.region.

Expression Variables

VariableSource
user.*, tenant.*, campus.*, program.*, custom.*context in request body
any additional context.<namespace>.*additional custom namespaces in request body
headers.*HTTP headers (via feature InputContract)
requestBody.*Request body fields
authenticatedTrue if auth profile validation passed
derived.emailJWT email claim, fallback context.user.email
derived.userIdJWT sub claim, fallback context.user.id
derived.subjectJWT sub claim (no fallback)
derived.nameJWT name claim (no fallback)
derived.bearerTokenPresentTrue if Bearer token in request
derived.apiKeyPresentTrue if API key in request

JWT auto-extraction: Send Authorization: Bearer <jwt> → claims sub, email, name auto-populate derived.*. JWT claims take priority over context body.

Builtin Functions

FunctionDescription
now()Current UTC time
dateBefore(date, ref)True if date < ref (RFC3339, YYYY-MM-DD)
dateAfter(date, ref)True if date > ref
contains(val, needle)String containment
startsWith(val, prefix)String prefix
endsWith(val, suffix)String suffix
inSegment(key)Segment membership check
externalApi(key)External API validation

Common Patterns

# Email targeting (from JWT)
derived.email == "admin@empresa.com"
endsWith(derived.email, "@empresa.com")

# Email targeting (from context body)
user.email == "admin@empresa.com"

# Custom namespaces from context
custom.country == "CL"
billing.plan == "pro"

# Header declared in feature InputContract
headers.region == "us-east-1"

# Auth + role
authenticated && user.role == "admin"
derived.apiKeyPresent

# Segments
inSegment("beta-users")

# Date range
dateAfter(now(), "2025-06-01") && dateBefore(now(), "2025-12-31")

# Combined
tenant.id == "acme" && inSegment("early-access") && authenticated

Security Limits

Max AST depth: 10, max nodes: 100, max inSegment() calls: 5, max string length: 1000. Denied: exec, system, import, require, proto, constructor, prototype, eval, Function, process.

Known API Behaviors

  • List responses: {"data": [...], "pagination": {"page": 1, "pageSize": 20, "total": N, "totalPages": M}}
  • Toggle/Delete: return 204 No Content
  • Errors: {"error": {"code": "...", "message": "...", "messageKey": "..."}}
  • Pack targets: tenant, campus, program
  • Value types: boolean, string, number, json
  • Access policies: public (default), optional, required

平台分布

Codex

34.9%
按下载量换算25

Claude

27.85%
按下载量换算20

Cursor

20.48%
按下载量换算15

Gemini CLI

10.01%
按下载量换算7

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。

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