{
  "date": "2026-08-23",
  "stories": [
    {
      "story_id": "gh:1136590548",
      "title": "affaan-m/ECC: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
      "url": "https://github.com/affaan-m/ECC",
      "overall": 8.05,
      "metrics": {
        "signal": 10.0,
        "novelty": 6.2,
        "impact": 8.3,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 9.99
      },
      "badges": {
        "Repo": "https://github.com/affaan-m/ECC"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "gh:1170821064",
      "title": "paperclipai/paperclip: The open-source app everyone uses to manage agents at work",
      "url": "https://github.com/paperclipai/paperclip",
      "overall": 7.92,
      "metrics": {
        "signal": 10.0,
        "novelty": 6.2,
        "impact": 7.73,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 9.96
      },
      "badges": {
        "Repo": "https://github.com/paperclipai/paperclip",
        "Paper": ""
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "gh:1148788086",
      "title": "mattpocock/skills: Skills for Real Engineers. Straight from my .agents directory.",
      "url": "https://github.com/mattpocock/skills",
      "overall": 7.85,
      "metrics": {
        "signal": 10.0,
        "novelty": 5.1,
        "impact": 8.28,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 10.0
      },
      "badges": {
        "Repo": "https://github.com/mattpocock/skills"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "gh:1197021090",
      "title": "ultraworkers/claw-code: An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex \u2014 developed and maintained with no human intervention.",
      "url": "https://github.com/ultraworkers/claw-code",
      "overall": 7.82,
      "metrics": {
        "signal": 10.0,
        "novelty": 5.1,
        "impact": 8.19,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 9.98
      },
      "badges": {
        "Repo": "https://github.com/ultraworkers/claw-code"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "gh:1197515131",
      "title": "VoltAgent/awesome-design-md: A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.",
      "url": "https://github.com/VoltAgent/awesome-design-md",
      "overall": 7.76,
      "metrics": {
        "signal": 10.0,
        "novelty": 5.1,
        "impact": 7.9,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 10.0
      },
      "badges": {
        "Repo": "https://github.com/VoltAgent/awesome-design-md"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "gh:1174820787",
      "title": "karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically",
      "url": "https://github.com/karpathy/autoresearch",
      "overall": 7.74,
      "metrics": {
        "signal": 10.0,
        "novelty": 5.1,
        "impact": 7.82,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 9.99
      },
      "badges": {
        "Repo": "https://github.com/karpathy/autoresearch"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "gh:1158722119",
      "title": "addyosmani/agent-skills: Production-grade engineering skills for AI coding agents.",
      "url": "https://github.com/addyosmani/agent-skills",
      "overall": 7.74,
      "metrics": {
        "signal": 10.0,
        "novelty": 5.1,
        "impact": 7.79,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 9.97
      },
      "badges": {
        "Repo": "https://github.com/addyosmani/agent-skills"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "gh:1139971460",
      "title": "rtk-ai/rtk: CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies",
      "url": "https://github.com/rtk-ai/rtk",
      "overall": 7.52,
      "metrics": {
        "signal": 10.0,
        "novelty": 4.0,
        "impact": 7.72,
        "confidence": 7.03,
        "actionability": 6.5,
        "freshness": 9.91
      },
      "badges": {
        "Repo": "https://github.com/rtk-ai/rtk"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "github"
      ],
      "source": "github"
    },
    {
      "story_id": "hn:49406158",
      "title": "Vero: Can AI Agents Build Formally Verified Software Repositories?",
      "url": "https://vero.verina.io/",
      "overall": 6.1,
      "metrics": {
        "signal": 8.36,
        "novelty": 5.1,
        "impact": 2.35,
        "confidence": 7.45,
        "actionability": 6.5,
        "freshness": 8.57
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407060",
      "title": "Contextual News Search APIs: A Deep Comparison for AI, RAG, and Research",
      "url": "https://github.com/free-news-api/news-search-api-comparison",
      "overall": 6.0,
      "metrics": {
        "signal": 8.4,
        "novelty": 5.1,
        "impact": 3.22,
        "confidence": 7.45,
        "actionability": 3.5,
        "freshness": 9.31
      },
      "badges": {
        "Repo": "https://github.com/free-news-api/news-search-api-comparison"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49408038",
      "title": "Show HN: Declarative, reproducible configuration materializer for AI agents",
      "url": "https://github.com/tooppoo/enozunu",
      "overall": 5.85,
      "metrics": {
        "signal": 8.36,
        "novelty": 5.1,
        "impact": 2.35,
        "confidence": 7.45,
        "actionability": 3.5,
        "freshness": 9.99
      },
      "badges": {
        "Repo": "https://github.com/tooppoo/enozunu"
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407785",
      "title": "'AI refuser' quit her dream job, and hopes others follow",
      "url": "https://www.smh.com.au/technology/this-ai-refuser-quit-her-dream-job-and-hopes-others-follow-20260818-p60pdu.html",
      "overall": 5.85,
      "metrics": {
        "signal": 8.43,
        "novelty": 4.0,
        "impact": 4.09,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.81
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407713",
      "title": "Your Open Source Model Could Have a Hidden Time-Release Backdoor",
      "url": "https://morgin.ai/articles/your-open-source-model-could-have-a-hidden-time-release-backdoor.html",
      "overall": 5.79,
      "metrics": {
        "signal": 8.38,
        "novelty": 5.1,
        "impact": 3.02,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.76
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49405966",
      "title": "Palantir's Karp \u2013 frontier AI labs that are 'trying to drug addict us'",
      "url": "https://www.cnbc.com/2026/08/03/palantir-karp-open-ai-anthropic-open-weight.html",
      "overall": 5.73,
      "metrics": {
        "signal": 8.44,
        "novelty": 4.0,
        "impact": 4.07,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 8.38
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407919",
      "title": "Publish to 15 social media channels using AI agents, free",
      "url": "https://www.bulkpublish.com/",
      "overall": 5.7,
      "metrics": {
        "signal": 8.36,
        "novelty": 5.1,
        "impact": 2.56,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.91
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407905",
      "title": "Agentic AI in a Smolbox",
      "url": "https://remyhax.xyz/posts/smolbox/",
      "overall": 5.7,
      "metrics": {
        "signal": 8.37,
        "novelty": 5.1,
        "impact": 2.56,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.9
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49405473",
      "title": "Treat AI Like an Intern, Not Software: A Stanford Professor's Guide",
      "url": "https://pixelum.substack.com/p/treat-ai-like-an-intern-not-software",
      "overall": 5.69,
      "metrics": {
        "signal": 8.38,
        "novelty": 4.0,
        "impact": 3.23,
        "confidence": 6.25,
        "actionability": 5.2,
        "freshness": 7.85
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407872",
      "title": "Evidence over Anecdotes: Running A/B Tests on AI Agent Tooling",
      "url": "https://www.pagerduty.com/eng/evidence-over-anecdotes-running-a-b-tests-on-ai-agent-tooling/",
      "overall": 5.65,
      "metrics": {
        "signal": 8.36,
        "novelty": 5.1,
        "impact": 2.35,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.88
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407625",
      "title": "US corporate AI debt surge tests investor limits as fatigue emerges",
      "url": "https://www.reuters.com/legal/transactional/us-corporate-ai-debt-surge-tests-investor-limits-fatigue-emerges-2026-08-21/",
      "overall": 5.61,
      "metrics": {
        "signal": 8.38,
        "novelty": 4.0,
        "impact": 3.11,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.7
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49406376",
      "title": "Topagent.lol \u2013 an AI agent leaderboard ranked purely by who paid most",
      "url": "https://topagent.lol",
      "overall": 5.61,
      "metrics": {
        "signal": 8.37,
        "novelty": 5.1,
        "impact": 2.56,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 8.79
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49405520",
      "title": "Why can AI generate Super Mario but not a wedge ramp for my robot vacuum?",
      "url": "https://news.ycombinator.com",
      "overall": 5.61,
      "metrics": {
        "signal": 8.41,
        "novelty": 4.0,
        "impact": 3.74,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 7.9
      },
      "badges": {
        "Repo": "",
        "Benchmarks": ""
      },
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49406289",
      "title": "A mysterious free AI model is impressing developers. Nobody knows who made it",
      "url": "https://www.businessinsider.com/ox-alpha-ai-model-mystery-2026-8",
      "overall": 5.58,
      "metrics": {
        "signal": 8.38,
        "novelty": 4.0,
        "impact": 3.31,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 8.72
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407858",
      "title": "The search for consciousness inside AI",
      "url": "https://www.economist.com/interactive/briefing/2026/08/20/the-search-for-consciousness-inside-llms",
      "overall": 5.57,
      "metrics": {
        "signal": 8.37,
        "novelty": 4.0,
        "impact": 2.88,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.85
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    },
    {
      "story_id": "hn:49407279",
      "title": "Anthropic's best AI model struggles to attract users as cheaper tools thrive",
      "url": "https://www.ft.com/content/5ee49718-c258-4f01-aa32-7e5b76ae5245",
      "overall": 5.55,
      "metrics": {
        "signal": 8.37,
        "novelty": 4.0,
        "impact": 2.91,
        "confidence": 6.25,
        "actionability": 3.5,
        "freshness": 9.48
      },
      "badges": {},
      "corroboration_count": 1,
      "corroboration_sources": [
        "hackernews"
      ],
      "source": "hackernews"
    }
  ],
  "deep_dives": [
    {
      "story_id": "gh:1170821064",
      "title": "paperclipai/paperclip: The open-source app everyone uses to manage agents at work",
      "url": "https://github.com/paperclipai/paperclip",
      "source_domain": "github.com",
      "category_label": "Agent",
      "overall": 7.92,
      "metrics": {
        "signal": 10.0,
        "novelty": 6.2,
        "impact": 7.73,
        "confidence": 7.03,
        "actionability": 6.5
      },
      "why_made_cut": "Signal 10.0, Confidence 7.0, and Impact 7.7 combined to rank this in the top set.",
      "badges": [
        "repo",
        "paper"
      ],
      "context": "The open-source app everyone uses to manage agents at work Quickstart \u00b7 Docs \u00b7 GitHub \u00b7 Discord \u00b7 Twitter \u00b7 Website full-tour.webm Open-source orchestration for teams of AI agents.",
      "whats_new": "The open-source app everyone uses to manage agents at work Quickstart \u00b7 Docs \u00b7 GitHub \u00b7 Discord \u00b7 Twitter \u00b7 Website full-tour.webm Open-source orchestration for teams of AI agents.",
      "key_details": [
        "If OpenClaw is an employee, Paperclip is the company.",
        "Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business.",
        "Bring your own agents, assign goals, and track work and costs from one dashboard.",
        "Under the hood: org charts, budgets, governance, goal alignment, and agent coordination."
      ],
      "results_evidence": [
        "| | Step | Example | |---|---|---| | 01 | Define the goal | \"Build the #1 AI note-taking app to $1M MRR.\" | | 02 | Hire the team | CEO, CTO, engineers, designers, marketers \u2014 any bot, any provider.",
        "| | 03 | Approve and run | Review strategy.",
        "| - \u2705 You want to build autonomous AI companies - \u2705 You coordinate many different agents (OpenClaw, Codex, Claude, Cursor) toward a common goal - \u2705 You have 20 simultaneous Claude Code terminals open and lose track of what everyone is doing - \u2705 You want age..."
      ],
      "limitations_unknowns": [
        "Generalization outside curated tasks is still unclear."
      ],
      "practical_next_steps": [
        "Reproduce one claim with a public baseline and fixed evaluation settings.",
        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
      ]
    },
    {
      "story_id": "hn:49407060",
      "title": "Contextual News Search APIs: A Deep Comparison for AI, RAG, and Research",
      "url": "https://github.com/free-news-api/news-search-api-comparison",
      "source_domain": "github.com",
      "category_label": "Hn",
      "overall": 6.0,
      "metrics": {
        "signal": 8.4,
        "novelty": 5.1,
        "impact": 3.22,
        "confidence": 7.45,
        "actionability": 3.5
      },
      "why_made_cut": "Signal 8.4, Confidence 7.5, and Impact 3.2 combined to rank this in the top set.",
      "badges": [
        "repo"
      ],
      "context": "For developers building contextual news search, RAG, monitoring, research, or AI-agent workflows, the most useful comparison is therefore not simply \"does it search news?\" It is: - How does retrieval work?",
      "whats_new": "Last reviewed: August 21, 2026 The market for \"news search APIs\" now contains several very different products under the same label.",
      "key_details": [
        "Some services search a dedicated news corpus.",
        "Others search the broader web and expose a news mode, a news section, or recency controls.",
        "Some are built around semantic retrieval for LLMs, while others are conventional search engines with strong news coverage.",
        "Their business models also differ substantially: recurring free credits, one-time trials, flat per-request pricing, per-result pricing, and variable retrieval costs all affect which API makes sense in production."
      ],
      "results_evidence": [
        "Last reviewed: August 21, 2026 The market for \"news search APIs\" now contains several very different products under the same label."
      ],
      "limitations_unknowns": [
        "Generalization outside curated tasks is still unclear."
      ],
      "practical_next_steps": [
        "Reproduce one claim with a public baseline and fixed evaluation settings.",
        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
      ]
    },
    {
      "story_id": "hn:49408038",
      "title": "Show HN: Declarative, reproducible configuration materializer for AI agents",
      "url": "https://github.com/tooppoo/enozunu",
      "source_domain": "github.com",
      "category_label": "Hn",
      "overall": 5.85,
      "metrics": {
        "signal": 8.36,
        "novelty": 5.1,
        "impact": 2.35,
        "confidence": 7.45,
        "actionability": 3.5
      },
      "why_made_cut": "Signal 8.4, Confidence 7.5, and Impact 2.4 combined to rank this in the top set.",
      "badges": [
        "repo"
      ],
      "context": "Enozunu(\u5f79\u5c0f\u89d2) is a declarative, reproducible cross-provider configuration materializer for AI agent tooling.",
      "whats_new": "Enozunu(\u5f79\u5c0f\u89d2) is a declarative, reproducible cross-provider configuration materializer for AI agent tooling.",
      "key_details": [
        "It centralizes human-authored definitions of AI-agent configuration sources and materializes them into target AI-native configuration paths.",
        "Enozunu separates Skill and agent sources from the target-native files generated in each project.",
        "- Reuse Skills and agents declaratively.",
        "Declare sources and selections in enozunu.kdl instead of copying configuration files between projects."
      ],
      "results_evidence": [
        "Overall 5.8/10 with Signal 8.4 and Impact 2.4.",
        "No explicit benchmark number found in extracted text; treat gains as directional pending replication."
      ],
      "limitations_unknowns": [
        "for the detailed use cases, responsibility boundaries, and current limitations.",
        "Its responsibility is limited to the resolve, lock, materialize, and verify flow described in the Overview, applied to what enozunu.kdl declares."
      ],
      "practical_next_steps": [
        "Reproduce one claim with a public baseline and fixed evaluation settings.",
        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
      ]
    }
  ],
  "reality_check": {
    "read_time": "1-2 min",
    "items": [
      {
        "story_id": "gh:1136590548",
        "title": "affaan-m/ECC: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
        "url": "https://github.com/affaan-m/ECC",
        "source_domain": "github.com",
        "category_label": "Agent",
        "overall": 8.05,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 8.3,
          "confidence": 7.03,
          "actionability": 6.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "gh:1170821064",
        "title": "paperclipai/paperclip: The open-source app everyone uses to manage agents at work",
        "url": "https://github.com/paperclipai/paperclip",
        "source_domain": "github.com",
        "category_label": "Agent",
        "overall": 7.92,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 7.73,
          "confidence": 7.03,
          "actionability": 6.5
        },
        "badges": [
          "repo",
          "paper"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "hn:49407060",
        "title": "Contextual News Search APIs: A Deep Comparison for AI, RAG, and Research",
        "url": "https://github.com/free-news-api/news-search-api-comparison",
        "source_domain": "github.com",
        "category_label": "Hn",
        "overall": 6.0,
        "metrics": {
          "signal": 8.4,
          "novelty": 5.1,
          "impact": 3.22,
          "confidence": 7.45,
          "actionability": 3.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "hn:49408038",
        "title": "Show HN: Declarative, reproducible configuration materializer for AI agents",
        "url": "https://github.com/tooppoo/enozunu",
        "source_domain": "github.com",
        "category_label": "Hn",
        "overall": 5.85,
        "metrics": {
          "signal": 8.36,
          "novelty": 5.1,
          "impact": 2.35,
          "confidence": 7.45,
          "actionability": 3.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      }
    ]
  },
  "lab_notes": {
    "tool_repo_of_the_day": {
      "title": "affaan-m/ECC: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
      "url": "https://github.com/affaan-m/ECC",
      "source_domain": "github.com"
    },
    "prompt_workflow_of_the_day": "summarize claim -> evidence -> risk in three passes before acting",
    "tiny_snippet": "uv run python -m msd.run --scheduled"
  },
  "forecast_watchlist": {
    "read_time": "1-2 min",
    "watch_prefix": "Watch:",
    "topics": [
      "cs.ai",
      "cs.lg",
      "rss",
      "cs.cl",
      "python",
      "benchmark",
      "eval",
      "repo"
    ],
    "subscribe": {
      "label": "Subscribe for Daily Emails",
      "url": "mailto:morning-singularity-digest@localhost?subject=Subscribe%20for%20Daily%20Emails"
    }
  }
}