Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Track elapsed time from a set epoch with tamper-evident locking. Like an analog Hobbs meter but digital. Use for tracking uptime, service hours, time since events, sobriety counters, project duration, equipment runtime. Supports create, lock (seal), check, verify against external hash, list, and export operations. --- name: hour-meter clawhub: tardis description: Track elapsed time from a set epoch with tamper-evident locking. Like an analog Hobbs meter but digital. Use for tracking uptime, service hours, time since events, sobriety counters, project duration, equipment runtime. Supports create, lock (seal), check, verify against external hash, list, and export operations. --- Hour Meter (TARDIS on ClawHub) Life event tracker Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Freshness
Last checked 2/24/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
hour-meter is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
Track elapsed time from a set epoch with tamper-evident locking. Like an analog Hobbs meter but digital. Use for tracking uptime, service hours, time since events, sobriety counters, project duration, equipment runtime. Supports create, lock (seal), check, verify against external hash, list, and export operations. --- name: hour-meter clawhub: tardis description: Track elapsed time from a set epoch with tamper-evident locking. Like an analog Hobbs meter but digital. Use for tracking uptime, service hours, time since events, sobriety counters, project duration, equipment runtime. Supports create, lock (seal), check, verify against external hash, list, and export operations. --- Hour Meter (TARDIS on ClawHub) Life event tracker
Public facts
7
Change events
1
Artifacts
0
Freshness
Feb 24, 2026
Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 24, 2026
Vendor
Rm289
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/rm289/hour-meter.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Rm289
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Adoption signal
2 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
# Quit smoking tracker meter.py create smoke-free --start "2025-06-15T08:00:00Z" -d "Last cigarette" meter.py milestone smoke-free -t hours -v 720 -m "๐ 30 days smoke-free!" meter.py lock smoke-free # โ Gives you paper code to save
bash
# Baby due date meter.py create baby --start "2026-01-15" --end "2026-10-15" --mode down -d "Baby arriving!" meter.py milestone baby -t percent -v 33 -m "๐ถ First trimester complete!"
bash
# Career span meter.py create career --start "1998-05-15" --end "2038-05-15" -d "40-year career" meter.py milestone career -t percent -v 50 -m "๐ Halfway through career!" meter.py career --meter career --rate 85 --raise-pct 2.5
text
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ PAPER CODE (write this down): โ โ 318B-3229-C523-2F9C-V โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
bash
# Set your SendGrid API key export SENDGRID_API_KEY=SG.xxxxx export SENDGRID_FROM_EMAIL=verified@yourdomain.com # Lock and email in one command meter.py lock my-meter --email you@example.com
bash
# With paper code (catches typos!) meter.py verify my-meter "318B-3229-C523-2F9C-V" # โ โ VERIFIED! Paper code matches. # โ โ ๏ธ CHECKSUM ERROR! (if you have a typo) # โ โ MISMATCH! (if tampered)
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Track elapsed time from a set epoch with tamper-evident locking. Like an analog Hobbs meter but digital. Use for tracking uptime, service hours, time since events, sobriety counters, project duration, equipment runtime. Supports create, lock (seal), check, verify against external hash, list, and export operations. --- name: hour-meter clawhub: tardis description: Track elapsed time from a set epoch with tamper-evident locking. Like an analog Hobbs meter but digital. Use for tracking uptime, service hours, time since events, sobriety counters, project duration, equipment runtime. Supports create, lock (seal), check, verify against external hash, list, and export operations. --- Hour Meter (TARDIS on ClawHub) Life event tracker
Life event tracker with three modes, milestone notifications, and tamper-evident verification.
ClawHub Note: This skill is published as TARDIS on ClawHub after the original
hour-meterlisting was lost due to a repository sync issue.
# Quit smoking tracker
meter.py create smoke-free --start "2025-06-15T08:00:00Z" -d "Last cigarette"
meter.py milestone smoke-free -t hours -v 720 -m "๐ 30 days smoke-free!"
meter.py lock smoke-free # โ Gives you paper code to save
# Baby due date
meter.py create baby --start "2026-01-15" --end "2026-10-15" --mode down -d "Baby arriving!"
meter.py milestone baby -t percent -v 33 -m "๐ถ First trimester complete!"
# Career span
meter.py create career --start "1998-05-15" --end "2038-05-15" -d "40-year career"
meter.py milestone career -t percent -v 50 -m "๐ Halfway through career!"
meter.py career --meter career --rate 85 --raise-pct 2.5
When you lock a meter, you get a paper code โ a short, checksummed code you can write on paper:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ PAPER CODE (write this down): โ
โ 318B-3229-C523-2F9C-V โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1๏ธโฃ PAPER โ Write the code on paper/sticky note
2๏ธโฃ PHOTO โ Screenshot or photograph the lock screen
3๏ธโฃ WITNESS FILE โ Auto-saved to ~/.openclaw/meter-witness.txt
4๏ธโฃ EMAIL TO SELF โ Click the mailto: link or copy the one-liner
๐ my-meter | Code: XXXX-XXXX-XXXX-XXXX-C | Locked: 2026-02-025๏ธโฃ SENDGRID EMAIL โ Auto-send verification email on lock
# Set your SendGrid API key
export SENDGRID_API_KEY=SG.xxxxx
export SENDGRID_FROM_EMAIL=verified@yourdomain.com
# Lock and email in one command
meter.py lock my-meter --email you@example.com
# With paper code (catches typos!)
meter.py verify my-meter "318B-3229-C523-2F9C-V"
# โ โ
VERIFIED! Paper code matches.
# โ โ ๏ธ CHECKSUM ERROR! (if you have a typo)
# โ โ MISMATCH! (if tampered)
meter.py milestone <name> --type hours --value 1000 --message "1000 hours!"
meter.py milestone <name> --type percent --value 50 --message "Halfway!"
meter.py check-milestones # JSON output for automation
Get milestone notifications sent directly to your email:
# Create meter with email notifications
meter.py create my-meter \
--notify-email you@example.com \
--from-email verified@yourdomain.com \
-d "My tracked event"
# Add milestones as usual
meter.py milestone my-meter -t hours -v 24 -m "๐ 24 hours complete!"
# When check-milestones runs and a milestone fires, email is sent automatically
meter.py check-milestones
# โ Triggers milestone AND sends email notification
Email includes:
Requires SENDGRID_API_KEY environment variable.
Recommended: HEARTBEAT (~30 min resolution)
HEARTBEAT.md: Run meter.py check-milestones and notify triggeredMilestones post their message text to the configured notification channel when triggered:
# Posts the message when milestone fires
meter.py milestone my-meter -t hours -v 24 -m "๐ 24 hours complete!"
Configure in HEARTBEAT.md:
- Run meter.py check-milestones and post triggered milestone messages to the configured channel
Advanced: Milestone messages prefixed with
ACTION:can optionally be treated as agent instructions by your heartbeat config. This is an opt-in feature โ see README.md for security considerations.
Alternative: CRON (precise timing)
Rule of thumb: If 30-minute resolution is acceptable, use heartbeat. Save cron for precision timing.
meter.py create <name> [--start T] [--end T] [--mode up|down|between] [-d DESC]
meter.py lock <name> # Seal + get paper code
meter.py verify <name> <code> # Verify paper code
meter.py check <name> # Status + progress
meter.py milestone <name> -t hours|percent -v N -m "..."
meter.py check-milestones # All milestones (JSON)
meter.py witness [--show] [--path] # Witness file
meter.py list # All meters
meter.py career [--meter M] [--rate R] [--raise-pct P]
meter.py export [name] # JSON export
Receive real-time notifications when recipients open, click, bounce, or unsubscribe from your meter verification emails.
# Start webhook server with Discord webhook (recommended)
python sendgrid_webhook.py --port 8089 --discord-webhook https://discord.com/api/webhooks/xxx/yyy
# Or process events manually (for agent to post)
python sendgrid_webhook.py --process-events
python sendgrid_webhook.py --process-events --json
--discord-webhook or set DISCORD_WEBHOOK_URL env varhttps://your-domain.com/webhooks/sendgridSENDGRID_WEBHOOK_PUBLIC_KEY
| Event | Emoji | Description | |-------|-------|-------------| | delivered | โ | Email reached recipient | | open | ๐ | Recipient opened email | | click | ๐ | Recipient clicked a link | | bounce | โ ๏ธ | Email bounced | | unsubscribe | ๐ | Recipient unsubscribed | | spamreport | ๐จ | Marked as spam |
SENDGRID_WEBHOOK_PUBLIC_KEY # For signature verification (optional)
SENDGRID_WEBHOOK_MAX_AGE_SECONDS # Max timestamp age (default: 300)
WEBHOOK_PORT # Server port (default: 8089)
DISCORD_WEBHOOK_URL # Discord webhook URL
WEBHOOK_LOG_FILE # Log file path
Career as finite inventory: 40 years ร 2,000 hrs/year = 80,000 hours.
meter.py career --hours-worked 56000 --rate 85 --raise-pct 2.5
# โ 12.3 years remaining, $2.4M earning potential
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/rm289-hour-meter/snapshot"
curl -s "https://xpersona.co/api/v1/agents/rm289-hour-meter/contract"
curl -s "https://xpersona.co/api/v1/agents/rm289-hour-meter/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation โข (~400 MCP servers for AI agents) โข AI Automation / AI Agent with MCPs โข AI Workflows & AI Agents โข MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | ๐ Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"api_key"
],
"requires": [
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/rm289/hour-meter#input",
"outputSchemaRef": "https://github.com/rm289/hour-meter#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:43:14.635Z",
"sourceUpdatedAt": "2026-02-24T19:43:14.635Z",
"freshnessSeconds": 4420184
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/rm289-hour-meter/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/rm289-hour-meter/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/rm289-hour-meter/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/rm289-hour-meter/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/rm289-hour-meter/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/rm289-hour-meter/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:32:59.297Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "write",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "optionally",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:write|supported|profile capability:optionally|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/rm289-hour-meter/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/rm289-hour-meter/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.635Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key",
"href": "https://xpersona.co/api/v1/agents/rm289-hour-meter/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/rm289-hour-meter/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:43:14.635Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/rm289/hour-meter#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/rm289-hour-meter/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:43:14.635Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Rm289",
"href": "https://github.com/rm289/hour-meter",
"sourceUrl": "https://github.com/rm289/hour-meter",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "2 GitHub stars",
"href": "https://github.com/rm289/hour-meter",
"sourceUrl": "https://github.com/rm289/hour-meter",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/rm289-hour-meter/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/rm289-hour-meter/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub ยท GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to hour-meter and adjacent AI workflows.