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umami-stats

Query Umami Cloud (v2) analytics data via API using an environment-provided API key. Use when agents need website traffic, pages, events, sessions, realtime, reports, or attribution data for analysis, planning, experiments, or monitoring. Includes read-only API querying patterns, endpoint selection guidance, and reusable scripts for flexible endpoint + time-range requests.

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Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install hfichter/umami-stats

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Umami Stats (Read-only API skill)

Use this skill as a data-access layer: fetch Umami analytics data, then let the agent decide analysis/strategy.

Required environment variables

  • UMAMI_API_KEY (required)
  • UMAMI_BASE_URL (optional, default: https://api.umami.is)
  • UMAMI_WEBSITE_ID (optional default site)
  • UMAMI_DEPLOYMENT (optional: cloud or self-hosted, default: cloud)

API path conventions (explicit)

  • Umami Cloud: https://api.umami.is/v1/...
  • Self-hosted Umami: https://<your-host>/api/...

The script supports both:

  • --deployment cloud → uses cloud behavior (/v1 + x-umami-api-key)
  • --deployment self-hosted → uses self-hosted behavior (/api + Authorization: Bearer ...)

Read-only workflow

  1. Pick endpoint from docs or references/read-endpoints.md.
  2. Run scripts/umami_query.py with endpoint + params.
  3. Use presets (today, last7d, etc.) or custom startAt/endAt.
  4. Analyze returned JSON for the user task.

Quick commands

# 1) List websites
python3 scripts/umami_query.py --endpoint /v1/websites

# 2) Website stats for last 7 days (default website from env)
python3 scripts/umami_query.py \
  --endpoint /v1/websites/{websiteId}/stats \
  --preset last7d

# 3) Top pages with explicit website id
python3 scripts/umami_query.py \
  --endpoint /v1/websites/{websiteId}/pageviews \
  --website-id "$UMAMI_WEBSITE_ID" \
  --preset last30d

# 4) Events series with custom window
python3 scripts/umami_query.py \
  --endpoint /v1/websites/{websiteId}/events/series \
  --param startAt=1738368000000 \
  --param endAt=1738972799000

# 5) Legacy path auto-mapping in cloud mode (/api/... -> /v1/...)
python3 scripts/umami_query.py --endpoint /api/websites/{websiteId}/stats --preset last7d

# 6) Self-hosted example (/v1/... auto-maps to /api/...)
python3 scripts/umami_query.py \
  --deployment self-hosted \
  --base-url "https://umami.example.com" \
  --endpoint /v1/websites/{websiteId}/stats \
  --pre...

Source information

Source
github
Repository
openclaw/skills
Path
skills/hfichter/umami-stats
Version
—
Commit
88f9ec1917a749bbd609446a546fc32864064229
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Umami Stats (Read-only API skill)

Use this skill as a **data-access layer**: fetch Umami analytics data, then let the agent decide analysis/strategy.

## Required environment variables

- `UMAMI_API_KEY` (required)
- `UMAMI_BASE_URL` (optional, default: `https://api.umami.is`)
- `UMAMI_WEBSITE_ID` (optional default site)
- `UMAMI_DEPLOYMENT` (optional: `cloud` or `self-hosted`, default: `cloud`)

## API path conventions (explicit)

- **Umami Cloud:** `https://api.umami.is/v1/...`
- **Self-hosted Umami:** `https://<your-host>/api/...`

The script supports both:
- `--deployment cloud` → uses cloud behavior (`/v1` + `x-umami-api-key`)
- `--deployment self-hosted` → uses self-hosted behavior (`/api` + `Authorization: Bearer ...`)

## Read-only workflow

1. Pick endpoint from docs or `references/read-endpoints.md`.
2. Run `scripts/umami_query.py` with endpoint + params.
3. Use presets (`today`, `last7d`, etc.) or custom `startAt`/`endAt`.
4. Analyze returned JSON for the user task.

## Quick commands

```bash
# 1) List websites
python3 scripts/umami_query.py --endpoint /v1/websites

# 2) Website stats for last 7 days (default website from env)
python3 scripts/umami_query.py \
  --endpoint /v1/websites/{websiteId}/stats \
  --preset last7d

# 3) Top pages with explicit website id
python3 scripts/umami_query.py \
  --endpoint /v1/websites/{websiteId}/pageviews \
  --website-id "$UMAMI_WEBSITE_ID" \
  --preset last30d

# 4) Events series with custom window
python3 scripts/umami_query.py \
  --endpoint /v1/websites/{websiteId}/events/series \
  --param startAt=1738368000000 \
  --param endAt=1738972799000

# 5) Legacy path auto-mapping in cloud mode (/api/... -> /v1/...)
python3 scripts/umami_query.py --endpoint /api/websites/{websiteId}/stats --preset last7d

# 6) Self-hosted example (/v1/... auto-maps to /api/...)
python3 scripts/umami_query.py \
  --deployment self-hosted \
  --base-url "https://umami.example.com" \
  --endpoint /v1/websites/{websiteId}/stats \
  --pre...

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