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SKILL verified MPL-2.0 Self-run

Redash

skill-mozilla-platform-ops-agent-skills-redash · by mozilla-platform-ops

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Install

$ agentstack add skill-mozilla-platform-ops-agent-skills-redash

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-mozilla-platform-ops-agent-skills-redash)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Redash Query Tool

Query Mozilla's Redash (sql.telemetry.mozilla.org) for telemetry data. Redash is the front-end to BigQuery telemetry data.

Knowledge References

@references/README.md @references/fxci-schema.md

Prerequisites

  • REDASH_API_KEY environment variable set
  • uv for running the script

Quick Start

# Run custom SQL
uv run scripts/query_redash.py --sql "SELECT * FROM telemetry.main LIMIT 10"

# Fetch cached results from an existing Redash query
uv run scripts/query_redash.py --query-id 65967

# Save results to file
uv run scripts/query_redash.py --sql "SELECT 1" --output ~/moz_artifacts/data.json

Usage

Either --sql or --query-id is required.

| Flag | Description | |------|-------------| | --sql | SQL query to execute against BigQuery via Redash | | --query-id | Fetch cached results from an existing Redash query ID | | --output, -o | Save results to JSON file | | --format, -f | Output format: json, csv, table (default: table) | | --limit | Limit number of rows displayed |

Example Prompts

These natural language prompts map to queries in references/common-queries.md:

| Prompt | Query used | |--------|------------| | "What's the DAU breakdown by macOS version?" | --query-id 114866 (macOS Version DAU) | | "Show me macOS version × architecture distribution" | --query-id 114867 (macOS version × arch) | | "What share of macOS users are on Apple Silicon?" | --query-id 114867, compare aarch64 vs x8664 | | "Pull the macOS DAU and arch breakdown for the last 28 days" | --query-id 114866 and --query-id 114867 | | "What Windows versions are Firefox Desktop users on?" | --query-id 65967 (Windows Version Distribution) | | "How many Firefox users are on Windows 11?" | --query-id 65967 | | "What does the macOS adoption curve look like over time?" | --query-id 114866, look at darwinversion | | "Why is a worker pool showing high queue time?" | Use the FXCI worker-pool queue-time query in references/common-queries.md | | "What task groups are driving queue time for a worker pool?" | Use the FXCI worker-pool queue-time queries in references/common-queries.md |

For questions not covered by a documented query, write SQL on the fly using the table references in references/README.md.

Common Queries

@references/common-queries.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.