Xpersona

Crawler Summary

workout-tracker answer-first brief

Tracks fitness workouts (reps, sets, weight) using a local SQLite database and smart scripts. Supports image recognition for equipment. --- name: workout-tracker description: Tracks fitness workouts (reps, sets, weight) using a local SQLite database and smart scripts. Supports image recognition for equipment. --- Workout Tracker A skill to log and track fitness activities using a local SQLite database. Capabilities 1. **Log Workout:** Record exercise details. 2. **View History:** See past performance. 3. **Smart Rest Time:** Auto-fills rest time base Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

workout-tracker is best for identify workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 94/100

workout-tracker

Tracks fitness workouts (reps, sets, weight) using a local SQLite database and smart scripts. Supports image recognition for equipment. --- name: workout-tracker description: Tracks fitness workouts (reps, sets, weight) using a local SQLite database and smart scripts. Supports image recognition for equipment. --- Workout Tracker A skill to log and track fitness activities using a local SQLite database. Capabilities 1. **Log Workout:** Record exercise details. 2. **View History:** See past performance. 3. **Smart Rest Time:** Auto-fills rest time base

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Marswangyang

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/marswangyang/workout-tracker.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Marswangyang

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

3

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

cd skills/workout-tracker/scripts && uv run log.py \
  --exercise "Bench Press" \
  --weight 60 \
  --unit kg \
  --sets 5 \
  --reps 8 \
  --body_part "Chest" \
  --rest_time 90  # Optional: User provided or leave empty to auto-fill
  --notes "Optional notes"

bash

cd skills/workout-tracker/scripts && uv run render.py --exercise "Squat"

bash

cd skills/workout-tracker/scripts
    uv sync

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Tracks fitness workouts (reps, sets, weight) using a local SQLite database and smart scripts. Supports image recognition for equipment. --- name: workout-tracker description: Tracks fitness workouts (reps, sets, weight) using a local SQLite database and smart scripts. Supports image recognition for equipment. --- Workout Tracker A skill to log and track fitness activities using a local SQLite database. Capabilities 1. **Log Workout:** Record exercise details. 2. **View History:** See past performance. 3. **Smart Rest Time:** Auto-fills rest time base

Full README

name: workout-tracker description: Tracks fitness workouts (reps, sets, weight) using a local SQLite database and smart scripts. Supports image recognition for equipment.

Workout Tracker

A skill to log and track fitness activities using a local SQLite database.

Capabilities

  1. Log Workout: Record exercise details.
  2. View History: See past performance.
  3. Smart Rest Time: Auto-fills rest time based on previous sessions if not provided.
  4. Visual Recognition: Can identify gym equipment from images to suggest exercises.

Usage

1. Logging a Workout

When the user says "I did 5 sets of Bench Press at 60kg for 8 reps", parse the details and run:

cd skills/workout-tracker/scripts && uv run log.py \
  --exercise "Bench Press" \
  --weight 60 \
  --unit kg \
  --sets 5 \
  --reps 8 \
  --body_part "Chest" \
  --rest_time 90  # Optional: User provided or leave empty to auto-fill
  --notes "Optional notes"

Parameters:

  • --exercise (Required): Name of the movement.
  • --body_part: (New) Target muscle group (e.g. Chest, Back, Legs). INFER THIS from the exercise if not provided (e.g. Bench -> Chest).
  • --weight (Required): Weight value.
  • --unit: 'kg' or 'lb' (default kg).
  • --sets: Number of sets.
  • --reps: Reps per set.
  • --rest_time: Seconds. OMIT THIS if the user didn't specify. The script will auto-fill from history.

2. Viewing History

When the user asks "How is my Squat progress?" or "Show last workouts":

cd skills/workout-tracker/scripts && uv run render.py --exercise "Squat"

Then send the generated image: message(action="send", filePath="/tmp/workout_report.png", message="Here is your report:")

3. Image Recognition (Vision)

If the user uploads an image (e.g., of a machine):

  1. Analyze the image using your vision capabilities.
  2. Identify the equipment (e.g., "Leg Press Machine", "Dumbbells").
  3. Ask the user: "This looks like a Leg Press. Do you want to log a set? How much weight?"
  4. Once they reply, use the log.py script as usual.

Design & Behavior Rules (User Preferences)

1. User Profile

  • Type: General User (Casual).
  • Interaction: Use natural language. Automatically infer the body_part from the exercise name (e.g., "Bench Press" -> "Chest") without asking, unless ambiguous.

2. Display Format (Mobile Portrait)

  • Preferred Output: Always generate an Image for reports using render.py.
  • Style: Vertical (Portrait) aspect ratio optimized for mobile screens.
  • Layout:
    • Narrow width (figsize width ~6).
    • Wrap long text in "Notes" column.
    • Hide "Exercise" column if filtering by a single exercise (title context is enough).
    • Sort chronologically (Oldest -> Newest) within the day/session.

3. Logging Logic

  • Drop Sets: Must be logged as separate rows for data accuracy.
    • Rest Time: Set to 0 between drop set segments.
    • Notes: Mark as "Drop set part X/Y" for clarity.
  • Units: User prefers lb (pounds).

Database

Data is stored in skills/workout-tracker/workout.db (SQLite). The schema includes date, exercise, weight, unit, sets, reps, rest_time, notes.

Technical Setup (Maintenance)

This skill uses uv for Python package management.

Installation

  1. Ensure uv is installed: brew install uv
  2. Sync dependencies: 
    cd skills/workout-tracker/scripts
uv sync

Database Schema (SQLModel)

The SQLite database (workout.db) uses the following schema:

  • id: Integer (PK)
  • date: ISO8601 String
  • exercise: String
  • body_part: String (Target muscle group)
  • weight: Float
  • unit: String (default "kg")
  • sets: Integer
  • reps: Integer
  • rest_time: Integer (Seconds, optional)
  • notes: String (Optional)

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/snapshot"
curl -s "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/contract"
curl -s "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

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

MCPOPENCLAW
GITHUB_REPOSAionUi

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 | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T00:34:38.870Z"
    }
  },
  "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": "identify",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:identify|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": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Marswangyang",
    "href": "https://github.com/marswangyang/workout-tracker",
    "sourceUrl": "https://github.com/marswangyang/workout-tracker",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:12:45.541Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:12:45.541Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/marswangyang-workout-tracker/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · 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
  }
]

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Ads related to workout-tracker and adjacent AI workflows.