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Agent Skill · 研究检索

sentry-sdk-skill-creator(Sentry SDK 技能 creator)

sentry-sdk-skill-creator 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。

sentry-sdk-skill-creator 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 29,170。

总安装 3,096周安装 129GitHub Stars 19下载 1,032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:sentry-sdk-skill-creator(Sentry SDK 技能 creator)
来源仓库:https://github.com/getsentry/sentry-agent-skills
仓库路径:skills/sentry-sdk-skill-creator
安装命令:
npx skills add https://github.com/getsentry/sentry-agent-skills --skill sentry-sdk-skill-creator
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/getsentry/sentry-agent-skills --skill sentry-sdk-skill-creator

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。

sentry-sdk-skill-creator 用于查找、检索和筛选相关信息,适合快速定位候选结果。适用于需要根据关键词或任务场景从来源线索中筛选信息的场景。通过 npx skills add 命令安装指定 GitHub 仓库中的技能模块。安装前需确认权限范围和维护状态,注意可能触发联网或文件读写操作。

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/sentry-sdk-skill-creator

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/getsentry/sentry-agent-skills --skill sentry-s…;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

sentry-sdk-skill-creator 怎么安装?

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

sentry-sdk-skill-creator 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。

sentry-sdk-skill-creator 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。

sentry-sdk-skill-creator 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。

sentry-sdk-skill-creator 用的人多吗?

公开数据是累计安装 3,096 次,近一周安装 129 次,下载 1,032 次,GitHub 19 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。

sentry-sdk-skill-creator 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
sentry-sdk-skill-creator

Sentry SDK 技能 creator · 本页

3,09619接触敏感数据未明确通过

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

Create a Sentry SDK Skill Bundle

Produce a complete, research-backed SDK skill bundle — a main wizard SKILL.md plus deep-dive reference files for every feature pillar the SDK supports.

Invoke This Skill When

  • Asked to "create a Sentry SDK skill" for a new platform
  • Asked to "add support for [language/framework]" to sentry-agent-skills
  • Building a new sentry-<platform>-sdk skill bundle
  • Porting the SDK skill pattern to a new Sentry SDK
Read ${SKILL_ROOT}/references/philosophy.md first — it defines the bundle architecture, wizard flow, and design principles this skill implements.

Phase 1: Identify the SDK

Determine what you're building a skill for:

# What SDK? What's the package name?
# Examples: sentry-go, @sentry/sveltekit, sentry-python, sentry-ruby, sentry-cocoa

Establish the feature matrix — which Sentry pillars does this SDK support?

PillarCheck docsNotes
Error MonitoringAlways availableNon-negotiable baseline
Tracing/PerformanceUsually availableCheck for span API
ProfilingVariesMay be removed or experimental
LoggingNewer featureCheck minimum version
MetricsNewer featureMay be beta/experimental
CronsBackend onlyNot available for frontend SDKs
Session ReplayFrontend onlyNot available for backend SDKs
AI MonitoringSome SDKsUsually JS + Python only

Reference existing SDK skills to understand the target quality level:

ls skills/sentry-*-sdk/ 2>/dev/null
# Read 1-2 existing SDK skills for pattern reference

Phase 2: Research

This is the most critical phase. Skill quality depends entirely on accurate, current API knowledge. Do NOT write skills from memory — research every feature against official docs.

Research Strategy

Spin off parallel research tasks (using the claude tool with outputFile) — one per feature area. Each task should:

  1. Visit the official Sentry docs pages for that feature
  2. Visit the SDK's GitHub repo for source-level API verification
  3. Write thorough findings to a dedicated research file

Read ${SKILL_ROOT}/references/research-playbook.md for the detailed research execution plan, including prompt templates and file naming conventions.

Research the Sentry Wizard

Before diving into feature research, check whether the Sentry wizard CLI supports this framework:

# Check the SDK's docs landing page for wizard instructions
# Visit: https://docs.sentry.io/platforms/<platform>/
# Look for: "npx @sentry/wizard@latest -i <integration>"

If a wizard integration exists:

  1. Document the exact wizard command and -i flag
  2. Document what the wizard creates/modifies (files, config, build plugins)
  3. Note that the wizard handles authentication interactively — login, org/project selection, and auth token creation/download all happen automatically
  4. Note whether the wizard sets up source map upload — this is critical for frontend SDKs
  5. This will become "Option 1: Wizard (Recommended)" in Phase 3 of the generated skill
Why this matters: The wizard handles the entire auth flow (login, org/project selection, auth token) and source map upload configuration automatically. Without source maps, production stack traces show minified code — making Sentry nearly useless for frontend debugging. And without the auth token, source maps can't be uploaded at all. The wizard is the most reliable way to get both right in a single step.

Research Batching

Batch research tasks by topic area. Run them in parallel where possible:

BatchTopicsOutput file
1Setup, configuration, all init options, framework detectionresearch/<sdk>-setup-config.md
2Error monitoring, panic/exception capture, scopes, enrichmentresearch/<sdk>-error-monitoring.md
3Tracing, profiling (if supported)research/<sdk>-tracing-profiling.md
4Logging, metrics, crons (if supported)research/<sdk>-logging-metrics-crons.md
5Session replay (frontend only), AI monitoring (if supported)research/<sdk>-replay-ai.md

Important: Tell each research task to write its output to a file (outputFile parameter). Do NOT consume research results inline — they're large (500–1200 lines each). Workers will read them from disk later.

Research Quality Gate

Before proceeding, verify each research file:

  • Has actual content (not just Claude's process notes)
  • Contains code examples with real API names
  • Includes minimum SDK versions
  • Covers framework-specific variations
# Quick verification
for f in research/<sdk>-*.md; do
  echo "=== $(basename $f) ==="
  wc -l "$f"
  grep -c "^#" "$f"  # should have multiple headings
done

Re-run any research task that produced fewer than 100 lines — it likely failed silently.


Phase 3: Create the Main SKILL.md

The main SKILL.md implements the four-phase wizard from the philosophy doc. Keep it focused — the main file should cover the wizard flow, quick start config, framework tables, and reference dispatch. Deep-dive details for individual features belong in references/ files, not here. Be thorough but not redundant.

Gather Context First

Before writing, run a scout or read existing skills to understand conventions:

  • Frontmatter pattern (name, description, license)
  • "Invoke This Skill When" trigger phrases
  • Table formatting and code example style
  • Troubleshooting table conventions

SKILL.md Structure

---
name: sentry-<platform>-sdk
description: Full Sentry SDK setup for <Platform>. Use when asked to "add Sentry
  to <platform>", "install <package>", or configure error monitoring, tracing,
  [features] for <Platform> applications. Supports [frameworks].
license: Apache-2.0
---

# Sentry <Platform> SDK

## Invoke This Skill When
[trigger phrases]

## Phase 1: Detect
[bash commands to scan project — package manager, framework, existing Sentry, frontend/backend]

## Phase 2: Recommend
[opinionated feature matrix with "always / when detected / optional" logic]

## Phase 3: Guide
### Option 1: Wizard (Recommended)   ← if wizard exists for this framework
[wizard command, what it creates/modifies table, skip-to-verification note]
### Option 2: Manual Setup            ← always include
### Install
### Quick Start — Recommended Init
### Source Maps Setup                  ← required for frontend/mobile SDKs
### Framework Middleware (if applicable)
### For Each Agreed Feature
[reference dispatch table: feature → ${SKILL_ROOT}/references/<feature>.md]

## Configuration Reference
[key init options table, environment variables]

## Verification
[test snippet]

## Phase 4: Cross-Link
[detect companion frontend/backend, suggest matching SDK skills]

## Troubleshooting
[common issues table]

Key Principles for the Main SKILL.md

  1. Keep it lean — deep details go in references, not here
  2. Wizard-first for framework SDKs — if the Sentry wizard supports this framework, present it as "Option 1: Wizard (Recommended)" before any manual setup. The wizard handles the full auth flow (login, org/project selection, auth token creation), source map upload, build tool plugins, and framework-specific wiring — all in one interactive step. See ${SKILL_ROOT}/references/philosophy.md for the full pattern.
  3. Source maps are non-negotiable for frontend/mobile — the manual setup path must include source map upload configuration (build tool plugin + env vars). Without source maps, production stack traces are unreadable minified code.
  4. Detection commands must be real — test them against actual projects
  5. Recommendation logic must be opinionated — "always", "when X detected", not "maybe consider"
  6. Quick Start config should enable the most features with sensible defaults
  7. Framework middleware table — exact import paths, middleware calls, and quirks
  8. Cross-link aggressively — if Go backend, suggest frontend. If Svelte frontend, suggest backend.

Phase 4: Create Reference Files

One reference file per feature pillar the SDK supports. These are deep dives — they can be longer than the main SKILL.md.

Reference File Structure

# <Feature> — Sentry <Platform> SDK

> Minimum SDK: `<package>` vX.Y.Z+

## Configuration

## Code Examples
### Basic usage
### Advanced patterns
### Framework-specific notes (if applicable)

## Best Practices

## Troubleshooting
| Issue | Solution |
|-------|----------|

What Makes a Good Reference

Read ${SKILL_ROOT}/references/quality-checklist.md for the full quality rubric.

Key points:

  • Working code examples — not pseudo-code, not truncated snippets
  • Tables for config options — type, default, minimum version
  • One complete example per pattern — don't show 5 variations of the same thing
  • Framework-specific notes — call out when behavior differs between frameworks
  • Minimum SDK version at the top — always
  • Honest about limitations — if a feature was removed (like Go profiling), say so

Feature-Specific Guidance

FeatureKey things to cover
Error MonitoringCapture APIs, panic/exception recovery, scopes, enrichment (tags/user/breadcrumbs), error chains, BeforeSend, fingerprinting
TracingSample rates, custom spans, distributed tracing, framework middleware, operation types
ProfilingSample rate config, how it attaches to traces, or honest "removed/not available"
LoggingEnable flag, logger API, integration with popular logging libraries, filtering
MetricsCounter/gauge/distribution APIs, units, attributes, best practices for cardinality
CronsCheck-in API, monitor config, schedule types, heartbeat patterns
Session ReplayReplay integration, sample rates, privacy masking, canvas/network recording
Note for frontend/mobile SDKs: Source map upload configuration belongs in the main SKILL.md (Phase 3: Guide), not in a reference file. It's part of the core setup flow — every frontend production deployment needs it. Cover the build tool plugin, the required env vars (SENTRY_AUTH_TOKEN, SENTRY_ORG, SENTRY_PROJECT), and add .env to .gitignore.

Phase 5: Verify Everything

Do NOT skip this phase. SDK APIs change frequently. Research can hallucinate. Workers can fabricate config keys.

API Verification

Run a dedicated verification pass against the SDK's actual source code:

Research prompt: "Verify these specific API names and signatures against
the <SDK> GitHub repo source code: [list every API from the skill files]"

Things that commonly go wrong:

  • Config option names with wrong casing (SendDefaultPii vs SendDefaultPII)
  • Fabricated config keys that don't exist (experimental.tracing — verify it's real)
  • Deprecated APIs used instead of modern replacements (configureScope → getIsolationScope)
  • Features listed as available when they've been removed (profiling in Go SDK)
  • Wrong minimum version numbers

Review Pass

Run a reviewer on the complete skill bundle:

  • Technical accuracy of code examples
  • Consistency between main SKILL.md and reference files
  • Consistency with existing SDK skills in the repo
  • Agent Skills spec compliance (frontmatter, naming)

Fix Review Findings

Triage by priority:

  • P0: Misleading claims (advertising removed features) — fix immediately
  • P1: Incorrect APIs, deprecated methods — fix before merge
  • P2: Style inconsistencies, version nitpicks — fix if quick
  • P3: Skip

Phase 6: Register and Update Docs

After the skill passes review:

  1. Update README.md — add to the SDK Skills table
  2. Update AGENTS.md — if the philosophy doc or skill categories section needs it
  3. Add usage examples — trigger phrases in the Usage section
  4. Document the bundle pattern — if this is a new SDK, note the references/ structure

Commit Strategy

Each major piece gets its own commit:

  1. feat(<platform>-sdk): add sentry-<platform>-sdk main SKILL.md wizard
  2. feat(<platform>-sdk): add reference deep-dives for all feature pillars
  3. docs(readme): add sentry-<platform>-sdk to available skills
  4. fix(skills): address review findings (if any)

Checklist

Before declaring the skill complete:

  • Philosophy doc read and followed
  • All feature pillars researched from official docs (not from memory)
  • Research files verified (real content, correct APIs, >100 lines each)
  • Main SKILL.md is focused — wizard flow + quick start + reference dispatch; deep dives in references
  • Main SKILL.md implements all 4 wizard phases
  • Wizard CLI checked — if supported, presented as "Option 1: Wizard (Recommended)" with auth flow + source map benefits described
  • Source map / debug symbol upload covered in manual setup path (frontend/mobile SDKs)
  • Reference file for each supported feature pillar
  • APIs verified against SDK source code
  • Review pass completed, findings addressed
  • Profiling/removed features honestly documented (not advertised)
  • Cross-links to companion frontend/backend skills
  • README.md updated
  • All commits polished with descriptive messages

平台分布

Codex

37.27%
按下载量换算385

Claude

29.7%
按下载量换算307

Cursor

16.62%
按下载量换算172

Gemini CLI

9.14%
按下载量换算94

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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