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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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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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Dateimetadaten

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.

Originaltext anzeigen

---
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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Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: NOASSERTION
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: 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

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: sesori-ai/sesori_apps_monorepo
Lizenz: NOASSERTION
Version: 1.0.0
Letzter GitHub-Push: 23. Aug. 2026
Verzeichnis aktualisiert: 1. Sept. 2026
Anleitungspfad: .opencode/skills/add-analytics/SKILL.md

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

64/100

Vielversprechend

Vertrauen

55/100

Do not auto-install

Audit

71/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

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: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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    "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"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: sesori-ai
Quelle: sesori-ai/sesori_apps_monorepo
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

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Dieser Registry-indexiert-Eintrag wird sesori-ai zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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[![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)
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[![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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Übersicht

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

Quelle prüfen

Preis und Betriebskosten

Mit einer kleinen Aufgabe beginnen

Quelle und Nutzungshinweise

Agent-Zugang

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