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add-analytics

Design or add Sesori product analytics. Use when adding a user-facing feature, deciding whether an event is valuable, changing analytics identity/privacy, instrumenting an outcome, or adding BigQuery/Looker metrics. Covers authoritative hook points, layered delivery, bounded even

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价格未确认★ 105 GitHub Stars目录更新于 · 2026年9月1日agent-skill

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add-analytics

Design analytics that answer a product question without creating misleading or sensitive data.

Before adding an event

An event is worthwhile only when all of these are concrete:

Decision: What product decision or investor metric changes if this moves?
Meaning: Is it an intent, confirmed outcome, state transition, or view?
Authority: Which business success/failure seam proves it happened?
Population: Is the unit an account, installation, or action? Never mix those denominators under one label.
Privacy: Can every parameter be a bounded enum/boolean or explicitly approved scalar without code, content, paths, identity, or entity IDs?
Reporting: Which curated model/view consumes it, and how are coverage, maturity, freshness, and deduplication handled?

If the answer is only “this button was tapped,” skip it unless that tap is the only honest signal for a defined funnel step.

Current and planned seams

The source of truth is the closed models under client/module_core/lib/src/foundation/models/product_analytics/, with repository delivery/preference records under repositories/models/ and service state under services/models/:

Consumers call ProductAnalyticsService for authenticated account-linked events.
The three approved pre-auth login events call InstallationAnalyticsService; they are account-less and preference-exempt by explicit product decision.
Delivery flows Client (Foundation) -> API -> Repository -> Service -> Consumer. Cubits/widgets/listeners never hold AnalyticsClient or AnalyticsApi directly.
Mobile implements AnalyticsClient with Firebase; desktop uses a no-op adapter until desktop analytics has its own approved scope.

Choose the authoritative hook

Event meaning	Correct seam	Example
Confirmed outcome	Success branch after repository/service response	Message accepted, session created
Failure diagnostic	Explicit typed failure branch	Session creation failed
Reactive state	Dedicated listener or bounded transition guard	Bridge/screen state
Screen	`GoRouterRouteSource` -> exhaustive `AnalyticsScreen` mapping	`product_screen_viewed`
Flutter-only capability	UI call site after capability succeeds, calling Layer-3 service	Voice transcription completed
Pre-auth login	`LoginCubit` terminal state through `InstallationAnalyticsService`	Timeout by provider

Never use a widget tap as a proxy when a confirmed outcome exists. Never emit a success event when an operation is queued, merely attempted, or later requeued. Capture product-event occurrence time at that authoritative seam before any preference deferral; a later Firebase emission timestamp must not move funnel or retention timing.

Screen reporting

GoRouterRouteSource.currentRouteStream is the sole screen source.
Map every AppRouteDef exhaustively to a pinned AnalyticsScreen; never send concrete paths, project/session IDs, or Dart enum names as implicit wire values.
Disable Firebase automatic screen reporting on Android and Firebase-enabled Apple targets.
Emit canonical account-linked product_screen_viewed, then let the Firebase adapter best-effort mirror the same pinned name through logScreenView.
Curated account metrics use only product_screen_viewed; standard screen_view is diagnostic. Test one custom + one native event per changed GoRouter route and no automatic duplicate.

Parameters and naming

Event/parameter names: pinned snake_case, max 40 characters.
Use enums for closed values and explicit converters/mappings for existing sealed types. Do not assume a domain type is an enum.
Max 25 parameters per GA4 event; fewer is better.
Do not rename a released wire value. Add a schema version when semantics must change.
input_mode=voice_assisted means a successful transcript contributed to the submitted composer value; it never means the final text was unedited. Preserve that bounded origin with any restored composer draft.

Identity and privacy

Never report:

prompt, response, transcript, code, reasoning, or tool content;
file/repository/project/session/branch/worktree names or paths;
raw or hashed project/session/bridge/device/notification IDs;
OAuth identity, username, email, provider user ID, IP/geography, or raw error text;
coding provider/model/agent/tool/command names unless a later approved plan changes the privacy contract.

Account-linked events use only the pseudonymous custom user_key produced in the repository. Never set Firebase global user_id for the new design. Installation login events carry no user_key or attempt ID and may not be extended beyond their approved provider/failure enums without a new decision.

Implementation checklist

Add a closed event variant and pinned parameter enums to the active source of truth.
Identify the authoritative success/failure/transition seam.
Route through the correct Layer-3 service; update every mobile/desktop constructor consumer in lockstep.
Keep product behavior independent: analytics is best-effort, failure-isolated, and never changes product success.
Generate source outputs; never hand-edit generated files.
Test exact wire names/parameters, success-only emission, failure/no-op paths, deduplication, and absence of sensitive values.
Add/update versioned BigQuery transforms and fixture ASSERTs. Account metrics use user_key plus the eligible auth snapshot; installation events aggregate without persisting user_pseudo_id.
Show complete periods, denominators, cohort maturity, coverage, and freshness.
Run analyze/tests for every touched module and affected downstream shell.

Do not create raw-export dashboards

Investor and product dashboards read authorized aggregate reporting views, not ad-hoc views over raw events_*. Raw GA4 timestamps are integer microseconds; users/installations/accounts differ; rolling WAU needs a real seven-day range; and retention requires matured, fixed windows. Encode those contracts in curated SQL with fixture assertions rather than dashboard formulas.

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文件元数据

name: add-analytics
description: Design or add Sesori product analytics. Use when adding a user-facing feature, deciding whether an event is valuable, changing analytics identity/privacy, instrumenting an outcome, or adding BigQuery/Looker metrics. Covers authoritative hook points, layered delivery, bounded event design, GoRouter screen reporting, voice/login exceptions, and warehouse verification.

查看原始文本

---
name: add-analytics
description: Design or add Sesori product analytics. Use when adding a user-facing feature, deciding whether an event is valuable, changing analytics identity/privacy, instrumenting an outcome, or adding BigQuery/Looker metrics. Covers authoritative hook points, layered delivery, bounded event design, GoRouter screen reporting, voice/login exceptions, and warehouse verification.
---

# add-analytics

Design analytics that answer a product question without creating misleading or
sensitive data.

## Before adding an event

An event is worthwhile only when all of these are concrete:

1. **Decision:** What product decision or investor metric changes if this moves?
2. **Meaning:** Is it an intent, confirmed outcome, state transition, or view?
3. **Authority:** Which business success/failure seam proves it happened?
4. **Population:** Is the unit an account, installation, or action? Never mix
those denominators under one label.
5. **Privacy:** Can every parameter be a bounded enum/boolean or explicitly
approved scalar without code, content, paths, identity, or entity IDs?
6. **Reporting:** Which curated model/view consumes it, and how are coverage,
maturity, freshness, and deduplication handled?

If the answer is only “this button was tapped,” skip it unless that tap is the
only honest signal for a defined funnel step.

## Current and planned seams

The source of truth is the closed models under
`client/module_core/lib/src/foundation/models/product_analytics/`, with
repository delivery/preference records under `repositories/models/` and service
state under `services/models/`:

- Consumers call `ProductAnalyticsService` for authenticated account-linked
events.
- The three approved pre-auth login events call
`InstallationAnalyticsService`; they are account-less and preference-exempt
by explicit product decision.
- Delivery flows `Client (Foundation) -> API -> Repository -> Service ->
Consumer`. Cubits/widgets/listeners never hold `AnalyticsClient` or
`AnalyticsApi` directly.
- Mobile implements `AnalyticsClient` with Firebase; desktop uses a no-op
adapter until desktop analytics has its own approved scope.

## Choose the authoritative hook

| Event meaning | Correct seam | Example |
| --- | --- | --- |
| Confirmed outcome | Success branch after repository/service response | Message accepted, session created |
| Failure diagnostic | Explicit typed failure branch | Session creation failed |
| Reactive state | Dedicated listener or bounded transition guard | Bridge/screen state |
| Screen | `GoRouterRouteSource` -> exhaustive `AnalyticsScreen` mapping | `product_screen_viewed` |
| Flutter-only capability | UI call site after capability succeeds, calling Layer-3 service | Voice transcription completed |
| Pre-auth login | `LoginCubit` terminal state through `InstallationAnalyticsService` | Timeout by provider |

Never use a widget tap as a proxy when a confirmed outcome exists. Never emit a
success event when an operation is queued, merely attempted, or later requeued.
Capture product-event occurrence time at that authoritative seam before any
preference deferral; a later Firebase emission timestamp must not move funnel or
retention timing.

## Screen reporting

- `GoRouterRouteSource.currentRouteStream` is the sole screen source.
- Map every `AppRouteDef` exhaustively to a pinned `AnalyticsScreen`; never send
concrete paths, project/session IDs, or Dart enum names as implicit wire
values.
- Disable Firebase automatic screen reporting on Android and Firebase-enabled
Apple targets.
- Emit canonical account-linked `product_screen_viewed`, then let the Firebase
adapter best-effort mirror the same pinned name through `logScreenView`.
- Curated account metrics use only `product_screen_viewed`; standard
`screen_view` is diagnostic. Test one custom + one native event per changed
GoRouter route and no automatic duplicate.

## Parameters and naming

- Event/parameter names: pinned `snake_case`, max 40 characters.
- Use enums for closed values and explicit converters/mappings for existing
sealed types. Do not assume a domain type is an enum.
- Max 25 parameters per GA4 event; fewer is better.
- Do not rename a released wire value. Add a schema version when semantics must
change.
- `input_mode=voice_assisted` means a successful transcript contributed to the
submitted composer value; it never means the final text was unedited. Preserve
that bounded origin with any restored composer draft.

## Identity and privacy

Never report:

- prompt, response, transcript, code, reasoning, or tool content;
- file/repository/project/session/branch/worktree names or paths;
- raw or hashed project/session/bridge/device/notification IDs;
- OAuth identity, username, email, provider user ID, IP/geography, or raw error
text;
- coding provider/model/agent/tool/command names unless a later approved plan
changes the privacy contract.

Account-linked events use only the pseudonymous custom `user_key` produced in
the repository. Never set Firebase global `user_id` for the new design.
Installation login events carry no `user_key` or attempt ID and may not be
extended beyond their approved provider/failure enums without a new decision.

## Implementation checklist

1. Add a closed event variant and pinned parameter enums to the active source of
truth.
2. Identify the authoritative success/failure/transition seam.
3. Route through the correct Layer-3 service; update every mobile/desktop
constructor consumer in lockstep.
4. Keep product behavior independent: analytics is best-effort, failure-isolated,
and never changes product success.
5. Generate source outputs; never hand-edit generated files.
6. Test exact wire names/parameters, success-only emission, failure/no-op paths,
deduplication, and absence of sensitive values.
7. Add/update versioned BigQuery transforms and fixture `ASSERT`s. Account
metrics use `user_key` plus the eligible auth snapshot; installation events
aggregate without persisting `user_pseudo_id`.
8. Show complete periods, denominators, cohort maturity, coverage, and freshness.
9. Run analyze/tests for every touched module and affected downstream shell.

## Do not create raw-export dashboards

Investor and product dashboards read authorized aggregate reporting views, not
ad-hoc views over raw `events_*`. Raw GA4 timestamps are integer microseconds;
users/installations/accounts differ; rolling WAU needs a real seven-day range;
and retention requires matured, fixed windows. Encode those contracts in curated
SQL with fixture assertions rather than dashboard formulas.

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已记录技能来源

已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。

安装前审查: 避免自动安装

许可证: NOASSERTION

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Repository license is NOASSERTION, which is ambiguous and may hinder reuse or compliance verification.
SKILL.md references internal code paths and models (e.g., client/module_core/...) that are not publicly documented, limiting applicability outside the Sesori codebase.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: sesori-ai/sesori_apps_monorepo
许可证: NOASSERTION
版本: 1.0.0
最近 GitHub 推送: 2026年8月23日
目录更新于: 2026年9月1日
技能指令路径: .opencode/skills/add-analytics/SKILL.md

版本来自目录元数据，使用前请核实来源发布记录。

质量

64/100

有潜力

信任

55/100

Do not auto-install

审计

71/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Repository license is NOASSERTION, which is ambiguous and may hinder reuse or compliance verification.
SKILL.md references internal code paths and models (e.g., client/module_core/...) that are not publicly documented, limiting applicability outside the Sesori codebase.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

更多详情

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  "quality": {
    "score": 64,
    "label": "Promising"
  },
  "supply": {
    "track": "Data, BI, and analytics",
    "scenario": "Data analysis",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Repository license is NOASSERTION, which is ambiguous and may hinder reuse or compliance verification.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "SKILL.md references internal code paths and models (e.g., client/module_core/...) that are not publicly documented, limiting applicability outside the Sesori codebase."
  ],
  "agent_contract": {
    "task_input": "Use add-analytics in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 63/100 Manual review",
      "Audit: 71/100 Needs review",
      "Safety: 27/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "sesori-ai-add-analytics (add-analytics)",
      "install_command": "npx skills add sesori-ai/sesori_apps_monorepo --skill add-analytics",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "sesori-ai-add-analytics",
      "task": "Use add-analytics in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/sesori-ai-add-analytics",
    "api": "https://www.openagentskill.com/api/agent/skills/sesori-ai-add-analytics",
    "audit": "https://www.openagentskill.com/skills/sesori-ai-add-analytics/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=sesori-ai-add-analytics&task=Use%20add-analytics%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20add-analytics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20add-analytics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/sesori-ai-add-analytics/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/sesori-ai-add-analytics"
  }
}

创作者工具

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此列表来自公开来源，维护者认领获批前不会标记为官方。

创作者: sesori-ai
来源: sesori-ai/sesori_apps_monorepo
收录方: OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

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这条 Registry 收录列表归属于 sesori-ai，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。

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将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号，以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sesori-ai-add-analytics?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sesori-ai-add-analytics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sesori-ai-add-analytics?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sesori-ai-add-analytics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sesori-ai-add-analytics?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sesori-ai-add-analytics/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sesori-ai-add-analytics?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sesori-ai-add-analytics?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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概览

add-analytics

Before adding an event

Current and planned seams

Choose the authoritative hook

Screen reporting

Parameters and naming

Identity and privacy

Implementation checklist

Do not create raw-export dashboards

查看并核实来源

获取价格与运行成本

从一个小任务开始

来源与使用须知

Agent 接入

相关 Skill

创作者工具

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