Crawler Summary

feast answer-first brief

Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when: - Planning weekly meals or menus - Generating shopping lists - Asking for recipe ideas or cooking help - Reviewing past meals or planning ahead - Onboarding a new user to the meal system - Looking for cuisine inspiration or cultural food events - Tracking dietary goals or nutrition - Managing favourites, failures, or meal history --- name: feast description: | Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when: - Planning weekly meals or menus - Generating shopping lists - Asking for recipe ideas or cooking help - Reviewing past meals or planning ahead - Onboarding a new user to the meal system - Looking for cuisine inspiration or cultural food events - Tracking die Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

feast 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

Claim this agent
Agent DossierGitHubSafety: 94/100

feast

Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when: - Planning weekly meals or menus - Generating shopping lists - Asking for recipe ideas or cooking help - Reviewing past meals or planning ahead - Onboarding a new user to the meal system - Looking for cuisine inspiration or cultural food events - Tracking dietary goals or nutrition - Managing favourites, failures, or meal history --- name: feast description: | Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when: - Planning weekly meals or menus - Generating shopping lists - Asking for recipe ideas or cooking help - Reviewing past meals or planning ahead - Onboarding a new user to the meal system - Looking for cuisine inspiration or cultural food events - Tracking die

OpenClawself-declared

Public facts

7

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.

1 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Smadgerano

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

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/14/2026.

Setup snapshot

git clone https://github.com/smadgerano/feast.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

Smadgerano

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 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

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

text

workspace/meals/
├── profile.yaml          # User preferences (created during onboarding)
├── history.yaml          # What they've eaten
├── favourites.yaml       # Loved recipes
├── failures.yaml         # Never again
└── weeks/
    └── YYYY-MM-DD.md     # Each week's plan (self-contained)

yaml

schedule:
  notifications:
    push:
      enabled: true
      method: "pushbullet"    # or "ntfy"

bash

python scripts/update-history.py \
    --meals-dir ~/.openclaw/workspace/meals \
    --date 2026-02-03 \
    --name "Thai Green Curry" \
    --cuisine "Thai" \
    --region "Central Thailand" \
    --week-file "2026-02-02.md" \
    --rating 4 \
    --notes "Great, maybe more chilli next time"

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when: - Planning weekly meals or menus - Generating shopping lists - Asking for recipe ideas or cooking help - Reviewing past meals or planning ahead - Onboarding a new user to the meal system - Looking for cuisine inspiration or cultural food events - Tracking dietary goals or nutrition - Managing favourites, failures, or meal history --- name: feast description: | Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when: - Planning weekly meals or menus - Generating shopping lists - Asking for recipe ideas or cooking help - Reviewing past meals or planning ahead - Onboarding a new user to the meal system - Looking for cuisine inspiration or cultural food events - Tracking die

Full README

name: feast description: | Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when:

  • Planning weekly meals or menus
  • Generating shopping lists
  • Asking for recipe ideas or cooking help
  • Reviewing past meals or planning ahead
  • Onboarding a new user to the meal system
  • Looking for cuisine inspiration or cultural food events
  • Tracking dietary goals or nutrition
  • Managing favourites, failures, or meal history

Feast

A meal planning skill that transforms weekly cooking into a cultural experience.

Quick Start

  1. New user? Run onboarding: "Let's set up Feast" or "Onboard me for meal planning"
  2. Returning user? Check status: "What's the meal plan status?"
  3. Planning day? Start planning: "Let's plan next week's meals"
  4. Cooking day? Get reveal: "What's for dinner?"

Core Files

User data lives in their workspace:

workspace/meals/
├── profile.yaml          # User preferences (created during onboarding)
├── history.yaml          # What they've eaten
├── favourites.yaml       # Loved recipes
├── failures.yaml         # Never again
└── weeks/
    └── YYYY-MM-DD.md     # Each week's plan (self-contained)

Note: Weekly plans are fully self-contained — each day's recipe, theme research, music playlist, and cultural context is embedded directly in the week file. There are no separate recipe or theme files.

Weekly Cadence

Default schedule (user-configurable):

| Day | Activity | Trigger | |-----|----------|---------| | Thursday | Research & draft | "Let's plan next week" | | Friday | Confirm plan | "Confirm the meal plan" | | Saturday | Shopping list | "Generate shopping list" | | Sunday | Shopping | User shops | | Week | Daily reveals | "What's for dinner?" | | End of week | Review | "Review this week's meals" |

Notifications

Feast sends reminders at key moments: planning day, confirmation, shopping list, daily reveals, and week review. These are delivered via cron jobs that spawn isolated agents to send notifications.

Notification Channels

Users configure their preferred channel in profile.yaml under schedule.notifications.channel:

| Channel | Delivery Method | |---------|-----------------| | auto | Delivers to the current session or first available channel | | telegram | Sends via Telegram (requires Telegram channel configured in OpenClaw) | | discord | Sends via Discord (requires Discord channel configured in OpenClaw) | | signal | Sends via Signal (requires Signal channel configured in OpenClaw) | | webchat | Outputs to the chat session |

Push Notifications (Optional)

For notifications to mobile devices independent of chat channels, users can enable push notifications:

schedule:
  notifications:
    push:
      enabled: true
      method: "pushbullet"    # or "ntfy"

Supported methods:

  • Pushbullet — Requires the pushbullet-notify skill installed separately with API key configured
  • ntfy — Uses ntfy.sh (or self-hosted); configure topic in profile

Push notifications are sent in addition to the primary channel, not instead of it. If push delivery fails, the notification still goes to the primary channel.

Timing

Notifications are delivered via OpenClaw's cron system with wakeMode: "next-heartbeat". This means notifications arrive within the heartbeat interval (typically up to 1 hour) after the scheduled time. For most meal planning purposes, this slight delay is acceptable.

Managing Notifications

Users can adjust their notification preferences anytime:

  • "Change my Feast notifications to Telegram"
  • "Turn off morning hints"
  • "Enable Pushbullet notifications"

When updating, remove old cron jobs using stored IDs and create new ones with updated settings.

Workflows

Onboarding

Read references/onboarding.md for the full flow.

Essential questions:

  1. Location (for seasonality, units, stores)
  2. Household size & portion needs
  3. Week structure (start day, cooking days, cheat day)
  4. Dietary requirements & phase
  5. Equipment & cooking confidence
  6. Preferences (cuisines, spice, budget)

Save to workspace/meals/profile.yaml.

Planning (Thursday)

  1. Check user profile
  2. Review history (avoid recent repeats)
  3. Check upcoming cultural events (see references/events.md)
  4. Check seasonality for location
  5. Select 6-7 meals with:
    • Cuisine variety
    • Ingredient overlap
    • Balanced nutrition
    • Mix of quick/involved
  6. For each meal, research and embed:
    • The Place: Identify specific region of origin (drill down to province, city, or area). Research regional context, history, current events. Write an evocative description.
    • The Dish: Research authentic recipe from native sources (search in original language). Include origin story, cultural significance, full ingredients and method.
    • The Soundtrack: Curate a 1-2 hour playlist with contemporary hits + classic/traditional from the region (see references/theme-research.md). Include full tracklist with links.
    • Setting the Scene: How to serve, what to drink, atmosphere tips.
  7. Draft plan to workspace/meals/weeks/YYYY-MM-DD.md (all content embedded in this single file)
  8. Present summary (themes only, not full reveals)

Confirmation (Friday)

  1. Present draft plan with themes only, not full reveals
  2. Allow amendments
  3. Mark as confirmed
  4. Set up daily reveal reminders

Shopping List (Saturday)

  1. Generate from confirmed plan
  2. Optimise:
    • Group by category
    • Combine overlapping ingredients
    • Check pack sizes vs needs
    • Flag seasonal items
  3. Price check key ingredients (see references/price-checking.md):
    • Identify top 3-5 most expensive items (usually proteins, specialty ingredients)
    • Check prices across user's available stores
    • Note current deals, multi-buy offers, loyalty card prices
    • Add price recommendations to the shopping list
    • Suggest shopping strategy (single store or split if savings are significant)
  4. Present for review with price guidance, don't reveal meals
  5. Allow amendments
  6. Mark as approved

Daily Reveal

The reveal has two parts:

Part 1 — Notification (cron job): A short, exciting announcement naming the dish and its region. Enough to build anticipation.

Part 2 — Full reveal (main session): When the user asks "what's for dinner?", deliver the complete experience:

  • Full recipe (in user's units)
  • Theme dossier highlights:
    • The place: Regional context, history, and character
    • What's happening there now (current news/events from planning time)
    • The dish: Origin story, cultural significance, how it's eaten locally
  • Curated playlist:
    • Contemporary hits from the region (what people there listen to now)
    • Classic/traditional music from the region
    • Full tracklist with links (Spotify/YouTube)
    • The vibe and journey the playlist creates
  • Setting the scene: Serving suggestions, drinks pairings, atmosphere tips
  1. Morning hint (if enabled) — a short, cryptic teaser sent earlier in the day to build anticipation:
    • Read today's entry from the week plan
    • Craft 2-3 sentences that hint at the meal without revealing it
    • Draw from the place description, dish story, cultural context, current events, or music
    • Be playful, mysterious, evocative — not generic
    • Never name the dish or country directly
    • The goal is to make the user curious and excited for the afternoon reveal

Review (End of Week)

  1. For each meal: rating (1-5), notes
  2. Update history
  3. Identify favourites → add to favourites
  4. Identify failures → add to failures
  5. Capture improvements for system
  6. Save review to week file

Recipe Regionalisation

All recipes stored in standardised internal units. On output, convert to user's preferred units:

  • Temperature: Celsius / Fahrenheit / Gas Mark
  • Weight: Metric (g/kg) / Imperial (oz/lb)
  • Volume: Metric (ml/L) / Cups

See references/conversions.md.

Authenticity Guidelines

When researching cuisines:

  1. Search in the original language where possible
  2. Look for recipes from native sources, not just English food blogs
  3. Identify the specific region of origin — not just "Thai food" but "Northern Thai, Chiang Mai style"
  4. Research music that's actually from the region:
    • Find contemporary hits (what's charting there now)
    • Find classic/traditional music (legendary artists from the region)
    • Build a curated 1-2 hour playlist — not generic Spotify searches
    • See references/theme-research.md for guidance
  5. Research the region itself — history, current events, social context, what it's famous for
  6. Note cultural context and any associated events
  7. Respect dietary traditions (e.g., no pork in Middle Eastern themes)
  8. Embed everything in the week plan — recipes, themes, music, and context all go in the single week file

See references/cuisines/ for per-cuisine guides.

Templates

References

Scripts

History Tracking

After a meal is revealed and cooked, update history:

python scripts/update-history.py \
    --meals-dir ~/.openclaw/workspace/meals \
    --date 2026-02-03 \
    --name "Thai Green Curry" \
    --cuisine "Thai" \
    --region "Central Thailand" \
    --week-file "2026-02-02.md" \
    --rating 4 \
    --notes "Great, maybe more chilli next time"

This updates history.yaml and recalculates statistics automatically.

When doing the daily reveal, after the user confirms they've cooked and optionally rated the meal, run this script to keep history current.

Health & Nutrition

  • Track calories per meal if user has a target
  • Ensure weekly variety across food groups
  • Respect dietary phases (weight loss = deficit, etc.)
  • Flag any nutritional concerns

See references/nutrition.md.

Seasonal Awareness

Check seasonality for user's location before suggesting ingredients. Seasonal produce is:

  • Better quality
  • Often cheaper
  • More environmentally responsible

Not every ingredient needs to be in season, but prefer seasonal when possible.

See references/seasonality/ for regional guides.

Contract & API

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

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/smadgerano-feast/snapshot"
curl -s "https://xpersona.co/api/v1/agents/smadgerano-feast/contract"
curl -s "https://xpersona.co/api/v1/agents/smadgerano-feast/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

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 6d 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
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/smadgerano/feast#input",
  "outputSchemaRef": "https://github.com/smadgerano/feast#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:44:24.790Z",
  "sourceUpdatedAt": "2026-02-24T19:44:24.790Z",
  "freshnessSeconds": 4441806
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/smadgerano-feast/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/smadgerano-feast/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/smadgerano-feast/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/smadgerano-feast/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smadgerano-feast/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smadgerano-feast/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T05:34:31.094Z"
    }
  },
  "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": "enable",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "adjust",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:enable|supported|profile capability:adjust|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": "Smadgerano",
    "href": "https://github.com/smadgerano/feast",
    "sourceUrl": "https://github.com/smadgerano/feast",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:09.993Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/smadgerano/feast",
    "sourceUrl": "https://github.com/smadgerano/feast",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:09.993Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/smadgerano-feast/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smadgerano-feast/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:44:24.790Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/smadgerano-feast/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smadgerano-feast/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:24.790Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/smadgerano/feast#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smadgerano-feast/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:24.790Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/smadgerano-feast/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smadgerano-feast/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 feast and adjacent AI workflows.