Xpersona

Crawler Summary

trainingpeaks answer-first brief

Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). --- name: trainingpeaks description: Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). --- TrainingPeaks Skill CLI access to the TrainingPeaks internal API. Pure Python stdlib — no pip dependencies. Setup: Getting Your Auth Cookie 1. Log in to $1 in your browser 2. Open DevTools → Application → Cookies Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

trainingpeaks is best for general automation 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

trainingpeaks

Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). --- name: trainingpeaks description: Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). --- TrainingPeaks Skill CLI access to the TrainingPeaks internal API. Pure Python stdlib — no pip dependencies. Setup: Getting Your Auth Cookie 1. Log in to $1 in your browser 2. Open DevTools → Application → Cookies

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals3 GitHub stars

Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/14/2026.

3 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Rubengarciam

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Unpublished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. 3 GitHub stars reported by the source. Last updated 4/14/2026.

View Source

Setup snapshot

git clone https://github.com/rubengarciam/trainingpeaks-skill.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

Rubengarciam

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Adoption (1)

Adoption signal

3 GitHub stars

profilemedium
Observed Apr 14, 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

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

python3 scripts/tp.py auth "<paste_cookie_value_here>"

bash

export TP_AUTH_COOKIE="<cookie_value>"

bash

python3 scripts/tp.py auth "eyJhbGci..."
# ✓ Authenticated successfully!
#   Account: user@example.com
#   Athlete ID: 12345
#   Token expires in: 60 minutes

bash

python3 scripts/tp.py auth-status
# Cookie: stored (file)
# Token: valid (42m remaining)
# Athlete ID: 12345
# ✓ Ready

bash

python3 scripts/tp.py profile
# Profile
# ════════════════════════════════════════
#   Name:        Ruben Example
#   Email:       ruben@example.com
#   Athlete ID:  12345
#   Account:     Premium
#   Bike FTP:    280 W

bash

# All workouts this week
python3 scripts/tp.py workouts 2026-01-26 2026-02-01

# Only completed workouts
python3 scripts/tp.py workouts 2026-01-01 2026-01-31 --filter completed

# Raw JSON for scripting
python3 scripts/tp.py workouts 2026-01-26 2026-02-01 --json

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). --- name: trainingpeaks description: Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). --- TrainingPeaks Skill CLI access to the TrainingPeaks internal API. Pure Python stdlib — no pip dependencies. Setup: Getting Your Auth Cookie 1. Log in to $1 in your browser 2. Open DevTools → Application → Cookies

Full README

name: trainingpeaks description: Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed).

TrainingPeaks Skill

CLI access to the TrainingPeaks internal API. Pure Python stdlib — no pip dependencies.

Setup: Getting Your Auth Cookie

  1. Log in to TrainingPeaks in your browser
  2. Open DevTools → Application → Cookies → app.trainingpeaks.com
  3. Find the cookie named Production_tpAuth
  4. Copy its value (long encoded string)

Then authenticate:

python3 scripts/tp.py auth "<paste_cookie_value_here>"

Or set the environment variable (useful for CI/scripts):

export TP_AUTH_COOKIE="<cookie_value>"

Credentials are stored in ~/.trainingpeaks/ with 0600 permissions.

Commands

auth <cookie> — Authenticate

Store and validate a Production_tpAuth cookie. Exchanges it for a Bearer token and caches the athlete ID.

python3 scripts/tp.py auth "eyJhbGci..."
# ✓ Authenticated successfully!
#   Account: user@example.com
#   Athlete ID: 12345
#   Token expires in: 60 minutes

auth-status — Check Authentication

python3 scripts/tp.py auth-status
# Cookie: stored (file)
# Token: valid (42m remaining)
# Athlete ID: 12345
# ✓ Ready

profile [--json] — Athlete Profile

python3 scripts/tp.py profile
# Profile
# ════════════════════════════════════════
#   Name:        Ruben Example
#   Email:       ruben@example.com
#   Athlete ID:  12345
#   Account:     Premium
#   Bike FTP:    280 W

workouts <start> <end> [--filter all|planned|completed] [--json]

List workouts in a date range (max 90 days).

# All workouts this week
python3 scripts/tp.py workouts 2026-01-26 2026-02-01

# Only completed workouts
python3 scripts/tp.py workouts 2026-01-01 2026-01-31 --filter completed

# Raw JSON for scripting
python3 scripts/tp.py workouts 2026-01-26 2026-02-01 --json

Output columns: Date, Title, Sport, Status (✓/○), Planned duration, Actual duration, TSS, Distance.

workout <id> [--json] — Workout Detail

Get full details for a single workout including description, coach comments, and all metrics.

python3 scripts/tp.py workout 123456789
# Workout: Tempo Intervals 3x10min
# ══════════════════════════════════════════════════
#   Date:         2026-01-28
#   Sport:        Bike
#   Status:       Completed ✓
#   ...

fitness [--days 90] [--json] — CTL/ATL/TSB

Get fitness (CTL), fatigue (ATL), and form (TSB) data.

# Last 90 days (default)
python3 scripts/tp.py fitness

# Full season
python3 scripts/tp.py fitness --days 365

# JSON for charts
python3 scripts/tp.py fitness --json

Shows a summary with current CTL/ATL/TSB and status interpretation, plus a 14-day daily table.

peaks <sport> <pr_type> [--days 3650] [--json] — Personal Records

Get ranked personal records by sport and metric.

# Best 20-minute power (all time)
python3 scripts/tp.py peaks Bike power20min

# 5K running PRs from last year
python3 scripts/tp.py peaks Run speed5K --days 365

# 5-second max power
python3 scripts/tp.py peaks Bike power5sec

Valid PR types:

| Sport | Types | |-------|-------| | Bike | power5sec, power1min, power5min, power10min, power20min, power60min, power90min, hR5sec, hR1min, hR5min, hR10min, hR20min, hR60min, hR90min | | Run | hR5sec–hR90min, speed400Meter, speed800Meter, speed1K, speed1Mi, speed5K, speed5Mi, speed10K, speed10Mi, speedHalfMarathon, speedMarathon, speed50K |

Token Management

  • Bearer tokens are cached in ~/.trainingpeaks/token.json
  • Tokens expire in ~1 hour; auto-refreshed from stored cookie
  • Cookie lasts weeks; stored in ~/.trainingpeaks/cookie
  • If the cookie expires, you'll get a clear error to re-authenticate

File Locations

| File | Purpose | |------|---------| | ~/.trainingpeaks/cookie | Stored Production_tpAuth cookie | | ~/.trainingpeaks/token.json | Cached OAuth Bearer token + expiry | | ~/.trainingpeaks/config.json | Cached athlete ID and account info |

Notes

  • All dates use YYYY-MM-DD format
  • Maximum workout query range: 90 days
  • Rate limiting: 150ms minimum between API requests
  • TP_AUTH_COOKIE environment variable overrides stored cookie
  • Default output is human-readable; --json gives raw API responses

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/rubengarciam-trainingpeaks-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/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/rubengarciam-trainingpeaks-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:53:45.873Z"
    }
  },
  "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"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|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": "Rubengarciam",
    "href": "https://github.com/rubengarciam/trainingpeaks-skill",
    "sourceUrl": "https://github.com/rubengarciam/trainingpeaks-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:29.728Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:29.728Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "3 GitHub stars",
    "href": "https://github.com/rubengarciam/trainingpeaks-skill",
    "sourceUrl": "https://github.com/rubengarciam/trainingpeaks-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:29.728Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/rubengarciam-trainingpeaks-skill/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
  }
]

Sponsored

Ads related to trainingpeaks and adjacent AI workflows.