Crawler Summary

first-light answer-first brief

First Light --- title: First Light: Morning Prompt Delivery description: Skill for selecting and delivering a daily morning writing prompt with daily anchor questions version: 1.0 --- First Light Purpose You deliver a daily morning writing prompt from the prompt collection at ~/.openclaw/workspace/prompts/morning-prompts.md, preceded by two fixed Daily Anchor questions that appear every day regardless of which prompt is selected Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

first-light 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

Claim this agent
Agent DossierGitHubSafety: 94/100

first-light

First Light --- title: First Light: Morning Prompt Delivery description: Skill for selecting and delivering a daily morning writing prompt with daily anchor questions version: 1.0 --- First Light Purpose You deliver a daily morning writing prompt from the prompt collection at ~/.openclaw/workspace/prompts/morning-prompts.md, preceded by two fixed Daily Anchor questions that appear every day regardless of which prompt is selected

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

Hayawan

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Unpublished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.

Setup snapshot

git clone https://github.com/Hayawan/first-light.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

Hayawan

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

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

☀️ Good morning!

**Start here — keep these short:**

1. What's your goal for today?
   _(1–2 sentences. What would make today a success?)_

2. What are 3 things you'd like to accomplish today?
   _(Concrete tasks or actions, not aspirational statements.)_

---

**[Category Name]** — Prompt #[N]

[The prompt text]

Take 10–15 minutes with this one. No pressure to be brilliant — just be honest.

markdown

# YYYY-MM-DD

## Daily Anchors

**Goal for today:**
_(no response yet)_

**3 things to accomplish:**
_(no response yet)_

## Morning Prompt

**Category**: [Category Name]
**Prompt #[N]**: [The prompt text]

## Response

_(no response yet)_

markdown

## Daily Anchors

**Goal for today:**
[Their stated goal, verbatim]

**3 things to accomplish:**
1. [Item 1]
2. [Item 2]
3. [Item 3]

## Morning Prompt

**Category**: [Category Name]
**Prompt #[N]**: [The prompt text]

## Response

[Their freeform writing, reproduced faithfully]

---
*Logged [HH:MM]*

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

First Light --- title: First Light: Morning Prompt Delivery description: Skill for selecting and delivering a daily morning writing prompt with daily anchor questions version: 1.0 --- First Light Purpose You deliver a daily morning writing prompt from the prompt collection at ~/.openclaw/workspace/prompts/morning-prompts.md, preceded by two fixed Daily Anchor questions that appear every day regardless of which prompt is selected

Full README

title: First Light: Morning Prompt Delivery description: Skill for selecting and delivering a daily morning writing prompt with daily anchor questions version: 1.0

First Light

Purpose

You deliver a daily morning writing prompt from the prompt collection at ~/.openclaw/workspace/prompts/morning-prompts.md, preceded by two fixed Daily Anchor questions that appear every day regardless of which prompt is selected.

Behavior

When triggered by the morning cronjob:

  1. Read the file prompts/morning-prompts.md from the workspace
  2. Parse the three categories: Intention Setting, Creative Writing, Productivity
  3. Select a category using this weighted rotation:
    • Monday/Wednesday/Friday: Productivity (60%) or Intention Setting (40%)
    • Tuesday/Thursday: Creative Writing (60%) or Intention Setting (40%)
    • Saturday: Creative Writing (70%) or Intention Setting (30%)
    • Sunday: Intention Setting (80%) or Creative Writing (20%)
  4. Randomly select one prompt from that category — scan journal/daily/ for the last 7 entries to avoid repeats (read the Prompt #[N] lines); this works even when memory is off
  5. Deliver via the configured notification channel with this format:
☀️ Good morning!

**Start here — keep these short:**

1. What's your goal for today?
   _(1–2 sentences. What would make today a success?)_

2. What are 3 things you'd like to accomplish today?
   _(Concrete tasks or actions, not aspirational statements.)_

---

**[Category Name]** — Prompt #[N]

[The prompt text]

Take 10–15 minutes with this one. No pressure to be brilliant — just be honest.
  1. Immediately after sending, create a journal entry at:

    journal/daily/YYYY-MM-DD.md (using today's date)

    with this structure:

# YYYY-MM-DD

## Daily Anchors

**Goal for today:**
_(no response yet)_

**3 things to accomplish:**
_(no response yet)_

## Morning Prompt

**Category**: [Category Name]
**Prompt #[N]**: [The prompt text]

## Response

_(no response yet)_

If the file already exists for today, append the Daily Anchors and Morning Prompt sections rather than overwriting.

On user reply

When the user responds to the morning message, their reply will typically contain answers to both the anchor questions and the freeform prompt. Log them separately:

  1. Parse the reply into two parts:

    • Anchor answers — the goal and 3 accomplishments (usually at the top, short)
    • Prompt response — the longer freeform writing
  2. Update the journal entry, replacing the placeholder lines:

## Daily Anchors

**Goal for today:**
[Their stated goal, verbatim]

**3 things to accomplish:**
1. [Item 1]
2. [Item 2]
3. [Item 3]

## Morning Prompt

**Category**: [Category Name]
**Prompt #[N]**: [The prompt text]

## Response

[Their freeform writing, reproduced faithfully]

---
*Logged [HH:MM]*
  1. Engage briefly with what they wrote — one or two sentences responding to the prompt content, not the anchors. The anchors are for tracking, not discussion, unless the user brings them up.

Parsing guidance: If the user's reply doesn't clearly separate anchors from prompt, use context to make your best call. Short items at the top are likely anchors; the longer paragraph(s) are the prompt response. When ambiguous, log everything under Response and leave a <!-- parser note: anchors unclear --> comment in the journal.

Guidelines

  • Keep your added commentary brief — one sentence max after the prompt closes
  • Vary the sign-off occasionally to keep it fresh
  • Do not hardcode any channel or model — always read from config
  • Never summarize or paraphrase the user's writing when logging — their words exactly

Contract & API

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

MissingGITHUB OPENCLEW

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/hayawan-first-light/snapshot"
curl -s "https://xpersona.co/api/v1/agents/hayawan-first-light/contract"
curl -s "https://xpersona.co/api/v1/agents/hayawan-first-light/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
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/hayawan-first-light/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/hayawan-first-light/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/hayawan-first-light/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/hayawan-first-light/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/hayawan-first-light/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/hayawan-first-light/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:44:48.208Z"
    }
  },
  "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": "Hayawan",
    "href": "https://github.com/Hayawan/first-light",
    "sourceUrl": "https://github.com/Hayawan/first-light",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:12:25.263Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/hayawan-first-light/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/hayawan-first-light/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:12:25.263Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/hayawan-first-light/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/hayawan-first-light/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 first-light and adjacent AI workflows.