gplay-vitals-monitoring: Data & Analytics for AI Agents | OpenAgentSkill

Overview

Monitor Android app stability and performance from the Play Developer Reporting API via gplay vitals. Use to query crash/ANR rates, detect release regressions with anomaly detection, filter error issues/reports with AIP-160 expressions, and break down startup/rendering/battery metrics by dimension. Use when asked to check crash rates, ANR rates, error trends, performance data, or to gate a release on stability.

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App Vitals Monitoring

gplay vitals hits the Play Developer Reporting API (separate from the Android Publisher API used by most other commands). Every subcommand outputs JSON by default; add --output table|markdown for humans or --pretty to indent JSON. Dates are ISO 8601 (YYYY-MM-DD).

Preconditions

Credentials set (gplay auth login or GPLAY_SERVICE_ACCOUNT).
Service account needs "View app information and download bulk reports" permission.
The app must have enough installs to generate vitals data (small apps return empty sets).

The real surface

There are exactly three groups. There is no crashes list/get, no errors list/get, no performance overview/permissions, no --cluster-id, --version-code, --start-time/--end-time, --severity, or --error-id.

Command	Purpose
`vitals crashes query`	Crash / ANR rate metrics over a date range
`vitals crashes anomalies`	Auto-detected regressions — the release gate
`vitals performance startup\|rendering\|battery`	Performance metric breakdowns
`vitals errors issues`	Grouped error issues (AIP-160 filterable)
`vitals errors reports`	Individual error reports with stack traces

Crash & ANR rate metrics

gplay vitals crashes query returns rate metrics, not a cluster list. Switch metric with --type crash|anr; group with --dimension.

# Crash rate for a window
gplay vitals crashes query --package com.example.app --from 2026-06-01 --to 2026-06-30 --output table

# ANR rate
gplay vitals crashes query --package com.example.app --type anr --output table

# Break down by version to spot a bad build
gplay vitals crashes query --package com.example.app --dimension versionCode --output table

# By device model
gplay vitals crashes query --package com.example.app --dimension deviceModel --paginate

Other valid dimensions include deviceModel, deviceBrand, apiLevel, countryCode. Use --paginate to pull every page.

Anomaly detection — the regression / release gate

gplay vitals crashes anomalies lists automatically detected deviations that likely indicate a regression from a new release. This is the command to run in a post-release watch or a CI gate — it does the "is this worse than baseline?" judgement for you across crash, ANR, error, and performance metric sets.

# All anomalies in the last 7 days (default window)
gplay vitals crashes anomalies --package com.example.app --output table

# Just ANR regressions, most recent 20
gplay vitals crashes anomalies --package com.example.app --type anr --limit 20

# Scope to a release window
gplay vitals crashes anomalies --package com.example.app --from 2026-06-25 --to 2026-07-02

--type accepts crash, anr, errors, performance, or all (default). --limit is 1–1000 (default 50).

Performance metrics

Three subcommands, each with an optional --dimension (e.g. apiLevel, deviceModel, country):

# Cold/warm/hot startup percentiles, broken down by API level
gplay vitals performance startup --package com.example.app --dimension apiLevel --output table

# Slow (16ms) and frozen (700ms) frame rates
gplay vitals performance rendering --package com.example.app --from 2026-06-01 --to 2026-06-30

# Battery: excessive wakeups vs. stuck wake locks (choose with --type)
gplay vitals performance battery --package com.example.app --type wakeup --output table
gplay vitals performance battery --package com.example.app --type wakelock

Errors: issues vs. reports, filtered with AIP-160

errors issues — reports grouped into issues (counts, distinct users). Start here to triage.
errors reports — individual reports with stack traces and device info. Drill in from an issue.

Both filter via a single --filter AIP-160 expression. Supported fields: errorIssueType (CRASH, ANR, NON_FATAL), apiLevel, versionCode, deviceModel, deviceBrand, deviceType, appProcessState (FOREGROUND, BACKGROUND), isUserPerceived; reports additionally supports errorIssueId and errorReportId.

# Top crash issues by report count
gplay vitals errors issues --package com.example.app \
  --filter 'errorIssueType = CRASH' \
  --order-by 'errorReportCount desc' --page-size 10 --output table

# ANR issues most impacting distinct users
gplay vitals errors issues --package com.example.app \
  --filter 'errorIssueType = ANR' --order-by 'distinctUsers desc'

# Compound filter: crashes on a specific version, foreground only
gplay vitals errors reports --package com.example.app \
  --filter 'errorIssueType = CRASH AND versionCode = 105 AND appProcessState = FOREGROUND'

# All reports belonging to one issue (drill-down)
gplay vitals errors reports --package com.example.app \
  --filter 'errorIssueId = 1234567890' --page-size 20

--order-by (issues only) accepts errorReportCount / distinctUsers with asc/desc. Use --paginate for everything.

JSON + jq extraction

Default JSON is meant to be piped:

# Pull the errorIssueId of the worst crash issue
WORST=$(gplay vitals errors issues --package com.example.app \
  --filter 'errorIssueType = CRASH' --order-by 'errorReportCount desc' --page-size 1 \
  | jq -r '.errorIssues[0].name')

# Count anomalies flagged in the release window
gplay vitals crashes anomalies --package com.example.app --from 2026-06-25 --to 2026-07-02 \
  | jq '.anomalies | length'

Field names vary by endpoint — inspect once with --pretty before scripting against a path.

Stability workflow

Watch after every release. Run vitals crashes anomalies scoped to the rollout window first — it surfaces regressions without you setting thresholds.
Confirm the trend. vitals crashes query --type crash and --type anr for the rate; add --dimension versionCode to confirm the new build is the culprit.
Triage. vitals errors issues --filter 'errorIssueType = CRASH' --order-by 'errorReportCount desc' to rank by impact.
Drill in. Take the issue id and run vitals errors reports --filter 'errorIssueId = <id>' for stack traces and device breakdown.
Track ANRs separately — they weigh heavily on Play ranking; always check --type anr distinctly.

CI/CD stability gate

Prefer anomalies over hand-rolled thresholds. Note --rollout is a fraction 0.0–1.0, never a percent.

ANOMALIES=$(gplay vitals crashes anomalies \
  --package com.example.app --type all --from "$RELEASE_DATE" \
  | jq '.anomalies | length')

if [ "$ANOMALIES" -gt 0 ]; then
  echo "Vitals anomalies detected ($ANOMALIES). Halting promotion."
  exit 1
fi

# Clean — promote beta to a 10% staged production rollout
gplay promote --package com.example.app --from beta --to production --rollout 0.1

View source ↗

File metadata

name: gplay-vitals-monitoring
description: Monitor Android app stability and performance from the Play Developer Reporting API via gplay vitals. Use to query crash/ANR rates, detect release regressions with anomaly detection, filter error issues/reports with AIP-160 expressions, and break down startup/rendering/battery metrics by dimension. Use when asked to check crash rates, ANR rates, error trends, performance data, or to gate a release on stability.

View original text

---
name: gplay-vitals-monitoring
description: Monitor Android app stability and performance from the Play Developer Reporting API via gplay vitals. Use to query crash/ANR rates, detect release regressions with anomaly detection, filter error issues/reports with AIP-160 expressions, and break down startup/rendering/battery metrics by dimension. Use when asked to check crash rates, ANR rates, error trends, performance data, or to gate a release on stability.
---

# App Vitals Monitoring

`gplay vitals` hits the **Play Developer Reporting API** (separate from the Android Publisher API used by most other commands). Every subcommand outputs **JSON by default**; add `--output table|markdown` for humans or `--pretty` to indent JSON. Dates are ISO 8601 (`YYYY-MM-DD`).

## Preconditions
- Credentials set (`gplay auth login` or `GPLAY_SERVICE_ACCOUNT`).
- Service account needs "View app information and download bulk reports" permission.
- The app must have enough installs to generate vitals data (small apps return empty sets).

## The real surface
There are exactly three groups. There is **no** `crashes list/get`, no `errors list/get`, no `performance overview/permissions`, no `--cluster-id`, `--version-code`, `--start-time/--end-time`, `--severity`, or `--error-id`.

| Command | Purpose |
|---------|---------|
| `vitals crashes query` | Crash / ANR **rate** metrics over a date range |
| `vitals crashes anomalies` | Auto-detected regressions — the release gate |
| `vitals performance startup\|rendering\|battery` | Performance metric breakdowns |
| `vitals errors issues` | Grouped error **issues** (AIP-160 filterable) |
| `vitals errors reports` | Individual error **reports** with stack traces |

## Crash & ANR rate metrics

`gplay vitals crashes query` returns rate metrics, not a cluster list. Switch metric with `--type crash|anr`; group with `--dimension`.

```bash
# Crash rate for a window
gplay vitals crashes query --package com.example.app --from 2026-06-01 --to 2026-06-30 --output table

# ANR rate
gplay vitals crashes query --package com.example.app --type anr --output table

# Break down by version to spot a bad build
gplay vitals crashes query --package com.example.app --dimension versionCode --output table

# By device model
gplay vitals crashes query --package com.example.app --dimension deviceModel --paginate
```

Other valid dimensions include `deviceModel`, `deviceBrand`, `apiLevel`, `countryCode`. Use `--paginate` to pull every page.

## Anomaly detection — the regression / release gate

`gplay vitals crashes anomalies` lists automatically detected deviations that likely indicate a regression from a new release. This is the command to run in a post-release watch or a CI gate — it does the "is this worse than baseline?" judgement for you across crash, ANR, error, and performance metric sets.

```bash
# All anomalies in the last 7 days (default window)
gplay vitals crashes anomalies --package com.example.app --output table

# Just ANR regressions, most recent 20
gplay vitals crashes anomalies --package com.example.app --type anr --limit 20

# Scope to a release window
gplay vitals crashes anomalies --package com.example.app --from 2026-06-25 --to 2026-07-02
```

`--type` accepts `crash`, `anr`, `errors`, `performance`, or `all` (default). `--limit` is 1–1000 (default 50).

## Performance metrics

Three subcommands, each with an optional `--dimension` (e.g. `apiLevel`, `deviceModel`, `country`):

```bash
# Cold/warm/hot startup percentiles, broken down by API level
gplay vitals performance startup --package com.example.app --dimension apiLevel --output table

# Slow (16ms) and frozen (700ms) frame rates
gplay vitals performance rendering --package com.example.app --from 2026-06-01 --to 2026-06-30

# Battery: excessive wakeups vs. stuck wake locks (choose with --type)
gplay vitals performance battery --package com.example.app --type wakeup --output table
gplay vitals performance battery --package com.example.app --type wakelock
```

## Errors: issues vs. reports, filtered with AIP-160

- **`errors issues`** — reports grouped into issues (counts, distinct users). Start here to triage.
- **`errors reports`** — individual reports with stack traces and device info. Drill in from an issue.

Both filter via a single `--filter` AIP-160 expression. Supported fields: `errorIssueType` (`CRASH`, `ANR`, `NON_FATAL`), `apiLevel`, `versionCode`, `deviceModel`, `deviceBrand`, `deviceType`, `appProcessState` (`FOREGROUND`, `BACKGROUND`), `isUserPerceived`; `reports` additionally supports `errorIssueId` and `errorReportId`.

```bash
# Top crash issues by report count
gplay vitals errors issues --package com.example.app \
  --filter 'errorIssueType = CRASH' \
  --order-by 'errorReportCount desc' --page-size 10 --output table

# ANR issues most impacting distinct users
gplay vitals errors issues --package com.example.app \
  --filter 'errorIssueType = ANR' --order-by 'distinctUsers desc'

# Compound filter: crashes on a specific version, foreground only
gplay vitals errors reports --package com.example.app \
  --filter 'errorIssueType = CRASH AND versionCode = 105 AND appProcessState = FOREGROUND'

# All reports belonging to one issue (drill-down)
gplay vitals errors reports --package com.example.app \
  --filter 'errorIssueId = 1234567890' --page-size 20
```

`--order-by` (issues only) accepts `errorReportCount` / `distinctUsers` with `asc`/`desc`. Use `--paginate` for everything.

## JSON + jq extraction

Default JSON is meant to be piped:

```bash
# Pull the errorIssueId of the worst crash issue
WORST=$(gplay vitals errors issues --package com.example.app \
  --filter 'errorIssueType = CRASH' --order-by 'errorReportCount desc' --page-size 1 \
  | jq -r '.errorIssues[0].name')

# Count anomalies flagged in the release window
gplay vitals crashes anomalies --package com.example.app --from 2026-06-25 --to 2026-07-02 \
  | jq '.anomalies | length'
```

Field names vary by endpoint — inspect once with `--pretty` before scripting against a path.

## Stability workflow

1. **Watch after every release.** Run `vitals crashes anomalies` scoped to the rollout window first — it surfaces regressions without you setting thresholds.
2. **Confirm the trend.** `vitals crashes query --type crash` and `--type anr` for the rate; add `--dimension versionCode` to confirm the new build is the culprit.
3. **Triage.** `vitals errors issues --filter 'errorIssueType = CRASH' --order-by 'errorReportCount desc'` to rank by impact.
4. **Drill in.** Take the issue id and run `vitals errors reports --filter 'errorIssueId = <id>'` for stack traces and device breakdown.
5. **Track ANRs separately** — they weigh heavily on Play ranking; always check `--type anr` distinctly.

## CI/CD stability gate

Prefer `anomalies` over hand-rolled thresholds. Note `--rollout` is a **fraction 0.0–1.0**, never a percent.

```bash
ANOMALIES=$(gplay vitals crashes anomalies \
  --package com.example.app --type all --from "$RELEASE_DATE" \
  | jq '.anomalies | length')

if [ "$ANOMALIES" -gt 0 ]; then
  echo "Vitals anomalies detected ($ANOMALIES). Halting promotion."
  exit 1
fi

# Clean — promote beta to a 10% staged production rollout
gplay promote --package com.example.app --from beta --to production --rollout 0.1
```

Review the source

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Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 45 GitHub stars
Stars/forks activity: 45 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
Review status: AI review approval is missing

Open full audit

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2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3

Source & usage notes

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Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: tamtom/gplay-cli-skills
License: MIT
Version: Unknown
Last GitHub push: Jul 26, 2026
Registry updated: Sep 9, 2026
Instruction path: skills/gplay-vitals-monitoring/SKILL.md @ 10301b24639e

Version reported in registry metadata; check source releases before relying on it.

Quality

52/100

Needs review

Trust

60/100

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 52,
    "label": "Needs review"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding agents",
    "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",
    "Low GitHub adoption signal",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use gplay-vitals-monitoring 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: 68/100 Manual review",
      "Audit: 69/100 Needs review",
      "Safety: 25/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "tamtom-gplay-vitals-monitoring (gplay-vitals-monitoring)",
      "install_command": "npx skills add tamtom/gplay-cli-skills --skill gplay-vitals-monitoring",
      "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": "tamtom-gplay-vitals-monitoring",
      "task": "Use gplay-vitals-monitoring 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/tamtom-gplay-vitals-monitoring",
    "api": "https://www.openagentskill.com/api/agent/skills/tamtom-gplay-vitals-monitoring",
    "audit": "https://www.openagentskill.com/skills/tamtom-gplay-vitals-monitoring/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=tamtom-gplay-vitals-monitoring&task=Use%20gplay-vitals-monitoring%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20gplay-vitals-monitoring%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20gplay-vitals-monitoring%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/tamtom-gplay-vitals-monitoring/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/tamtom-gplay-vitals-monitoring"
  }
}

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Creator: tamtom
Source: tamtom/gplay-cli-skills
Indexed by: OpenAgentSkill community index

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