| name | sentry-stats |
| description | Use when the user asks "check Sentry", "Sentry analytics", "Sentry stats", "how many users yesterday", "DAU", "WAU", "who's on what version", "version adoption", "release health", "release adoption", "crash free", or anything about claude-meter usage from Sentry. Queries the mediar-n5/claude-meter Sentry project for unique hosts, version breakdown, release adoption, and (post v0.3.1) session-based DAU + crash-free metrics. |
| user_invocable | true |
Sentry Stats (claude-meter)
Pulls usage data from Sentry for the claude-meter desktop app. Two query lanes:
- Events lane (always works): counts unique
tags[server_name] (hostname) and release from events. Hostname is a proxy for "user" because the app does not set sentry.User. Only counts hosts that emitted at least one captured event (warn / error / capture_message).
- Sessions lane (works for v0.3.1+ only): real Release Health data from
auto_session_tracking. Session tracking was added in v0.3.1; older versions emit zero sessions, so this lane is partial until all users update.
Prefer the sessions lane once count_unique(user) on a 24h window returns > 0; until then use the events lane.
Constants
| Field | Value |
|---|
| Sentry org slug | mediar-n5 |
| Sentry project slug | claude-meter |
| Sentry project ID | 4511372322209792 |
| Auth token (keychain) | service sentry-auth-token (read-only, mediar-n5 org) |
| DSN (in source) | src/bin/menubar.rs SENTRY_DSN constant |
Pull the token at the start of every run:
TOKEN=$(security find-generic-password -s "sentry-auth-token" -w 2>/dev/null)
If that returns empty, fall through to the auth skill to recover it.
Steps
1. Decide the time window
- "yesterday" -> compute UTC midnight bounds for yesterday's date
- "last N days" -> use
statsPeriod=Nd (Sentry accepts 1h, 24h, 7d, 14d, 30d, 90d)
- specific dates -> use
start=YYYY-MM-DDTHH:MM:SS&end=... in UTC
Today's date is in the user's CLAUDE.md system reminder; always convert relative ("yesterday", "this week") to absolute UTC before querying.
2. Pick the right query
| Question | Query | Lane |
|---|
| How many unique users in window? | A | events |
| Who is on which version? | B | events |
| How many events total + which hosts noisiest? | C | events |
| Release adoption (real users per version) | D | sessions |
| Crash-free sessions / crash-free users | D | sessions |
3. Run the query and present a tight markdown table
Always include the caveat that hostname is a proxy, not a real user ID, when using the events lane.
Query A: Unique hosts in window (DAU / WAU proxy)
TOKEN=$(security find-generic-password -s "sentry-auth-token" -w 2>/dev/null)
curl -s -H "Authorization: Bearer $TOKEN" \
"https://sentry.io/api/0/organizations/mediar-n5/events/?project=4511372322209792&start=2026-05-14T00:00:00&end=2026-05-15T00:00:00&field=tags%5Bserver_name%5D&field=count%28%29&sort=-count&per_page=100&dataset=errors" \
| python3 -c "
import json, sys
d = json.load(sys.stdin)
rows = d.get('data', [])
print(f'Unique hosts: {len(rows)}')
print(f'Total events: {sum(r[\"count()\"] for r in rows)}')
print()
for r in rows:
print(f' {r[\"count()\"]:>5} {r.get(\"tags[server_name]\") or \"(empty)\"}')"
Query B: Host x version matrix
TOKEN=$(security find-generic-password -s "sentry-auth-token" -w 2>/dev/null)
curl -s -H "Authorization: Bearer $TOKEN" \
"https://sentry.io/api/0/organizations/mediar-n5/events/?project=4511372322209792&statsPeriod=7d&field=release&field=tags%5Bserver_name%5D&field=count%28%29&sort=-count&per_page=100&dataset=errors" \
| python3 -c "
import json, sys, collections
d = json.load(sys.stdin)
rows = d.get('data', [])
print(f'{len(rows)} (release, host) pairs, {sum(r[\"count()\"] for r in rows)} events')
by_release = collections.defaultdict(lambda: {'events': 0, 'hosts': set()})
for r in rows:
rel = r.get('release') or '(unknown)'
host = r.get('tags[server_name]') or '(empty)'
by_release[rel]['events'] += r['count()']
by_release[rel]['hosts'].add(host)
print()
print('By version:')
for rel in sorted(by_release):
info = by_release[rel]
print(f' {rel:<28} hosts={len(info[\"hosts\"]):>3} events={info[\"events\"]:>5}')
hosts = collections.defaultdict(dict)
for r in rows:
rel = r.get('release') or '(unknown)'
host = r.get('tags[server_name]') or '(empty)'
hosts[host][rel] = hosts[host].get(rel, 0) + r['count()']
print()
print('Host x version:')
for host in sorted(hosts, key=lambda h: -sum(hosts[h].values())):
versions = ', '.join(f'{rel}={cnt}' for rel, cnt in sorted(hosts[host].items()))
print(f' {host:<40} {versions}')"
Query C: Top events / noisy hosts
TOKEN=$(security find-generic-password -s "sentry-auth-token" -w 2>/dev/null)
curl -s -H "Authorization: Bearer $TOKEN" \
"https://sentry.io/api/0/organizations/mediar-n5/events/?project=4511372322209792&statsPeriod=24h&field=title&field=tags%5Bserver_name%5D&field=release&field=count%28%29&sort=-count&per_page=20&dataset=errors" \
| python3 -m json.tool
Query D: Release Health / Sessions (post v0.3.1 only)
TOKEN=$(security find-generic-password -s "sentry-auth-token" -w 2>/dev/null)
curl -s -H "Authorization: Bearer $TOKEN" \
"https://sentry.io/api/0/organizations/mediar-n5/sessions/?project=4511372322209792&statsPeriod=7d&interval=1d&field=sum%28session%29&field=count_unique%28user%29&field=crash_free_rate%28session%29&field=crash_free_rate%28user%29&groupBy=release" \
| python3 -m json.tool
If every group returns sum(session) = 0, no users on a session-enabled build (v0.3.1+) have launched in the window yet; fall back to events lane.
Caveats to mention to the user
- Events lane counts hostnames as a proxy for users. Generic names (
MacBook-Air.local, Mac.lan) can collide between different people, so the unique-host count is a minimum. Silent installs that never trigger a captured event are invisible.
- Releases are reported as
claude-meter@<version> because that is how release: is set in src/bin/menubar.rs. The leading prefix is meaningful for Sentry; do not strip it when filtering.
- Environment splits between
release (production builds) and debug (cargo run from source). Add &environment=release to either query to exclude dev-machine traffic if needed.
- One developer machine usually dominates the volume. As of 2026-05-15
MacBook-Pro-87.local accounts for ~92% of events. Mention this in the summary so the user can mentally subtract it.
Future improvements
- If the app starts setting
sentry::User with a stable anonymous install ID (e.g., a UUID persisted to ~/Library/Application Support/claude-meter/install_id), swap the events lane to count_unique(user) and stop using hostname as a proxy.
- Releases data only becomes accurate once enough users upgrade past v0.3.1.
Do NOT publish this skill
This skill hardcodes the mediar-n5 org slug and the claude-meter project ID. It is project-internal and lives in this workspace's .claude/skills/. Do not run publish-skill against it; it is not useful to anyone outside this repo.
