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      "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.",
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      "context": "| Topic | What You'll Learn | |---|---| | Token Optimization | Model selection, system prompt slimming, background processes | | Memory Persistence | Hooks that save/load context across sessions automatically | | Continuous Learning | Auto-extract patterns...",
      "whats_new": "Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
      "key_details": [
        "Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
        "Language: English | Portugu\u00eas (Brasil) | \u7b80\u4f53\u4e2d\u6587 | \u7e41\u9ad4\u4e2d\u6587 | \u65e5\u672c\u8a9e | \ud55c\uad6d\uc5b4 | T\u00fcrk\u00e7e | \u0420\u0443\u0441\u0441\u043a\u0438\u0439 | Ti\u1ebfng Vi\u1ec7t | \u0e44\u0e17\u0e22 182K+ stars | 28K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner Language / \u8bed\u8a00 / \u8a9e\u8a00 / Dil / \u042f\u0437\u044b\u043a / Ng\u00f4n ng\u1eef English | P...",
        "From an Anthropic hackathon winner.",
        "A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development."
      ],
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        "Language: English | Portugu\u00eas (Brasil) | \u7b80\u4f53\u4e2d\u6587 | \u7e41\u9ad4\u4e2d\u6587 | \u65e5\u672c\u8a9e | \ud55c\uad6d\uc5b4 | T\u00fcrk\u00e7e | \u0420\u0443\u0441\u0441\u043a\u0438\u0439 | Ti\u1ebfng Vi\u1ec7t | \u0e44\u0e17\u0e22 182K+ stars | 28K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner Language / \u8bed\u8a00 / \u8a9e\u8a00 / Dil / \u042f\u0437\u044b\u043a / Ng\u00f4n ng\u1eef English | P...",
        "Production-ready agents, skills, hooks, rules, MCP configurations, and legacy command shims evolved over 10+ months of intensive daily use building real products.",
        "ECC v2.0.0-rc.1 adds the public Hermes operator story on top of that reusable layer: start with the Hermes setup guide, then review the rc.1 release notes and cross-harness architecture."
      ],
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        "Generalization outside curated tasks is still unclear."
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        "Reproduce one claim with a public baseline and fixed evaluation settings.",
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      "title": "Design and Report Benchmarks for Knowledge Work",
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        "However, current knowledge-work evaluation and benchmark design still largely follow the logic of traditional NLP tasks.",
        "As a result, higher benchmark performance does not reliably show that a system can carry out knowledge work in real-world deployment settings.",
        "This paper contributes a three-step approach for making explicit how benchmarked tasks represent the work claims attached to their scores: defining the work activity under evaluation, specifying the tested setting, and scoring the appropriate work product.",
        "We review work studies showing that knowledge work is organized through roles and responsibilities, local materials and tools, and artifacts that must remain usable in downstream workflows."
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        "To name the work activity being evaluated and distinguish it from common benchmark tasks, we derive an inventory of 18 work activities from the O{*}NET occupational task database.",
        "Computer Science > Artificial Intelligence [Submitted on 22 May 2026] Title:Design and Report Benchmarks for Knowledge Work View PDF HTML (experimental)Abstract:The development of LLM agents has led to a growing body of work on knowledge-work AI, including..."
      ],
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      "why_made_cut": "Signal 8.4, Confidence 7.5, and Impact 2.4 combined to rank this in the top set.",
      "badges": [],
      "context": "Our AI Hacker found this, fixed it, and then (bragged) wrote about it: one endpoint, leaking tech stack info, whispering all its secrets to anyone who knew how to listen!",
      "whats_new": "Our AI Hacker found this, fixed it, and then (bragged) wrote about it: one endpoint, leaking tech stack info, whispering all its secrets to anyone who knew how to listen!",
      "key_details": [
        "An OAuth token endpoint that handed over its entire tech stack before I even warmed up \u2014 then let me extract client IDs character by character using nothing but response timing.",
        "From the Tenzai Trenches is a series of real-world stories from building and deploying AI hacking agents in production enterprise environments.",
        "These posts share what we\u2019re seeing firsthand \u2014 what works, what breaks, and what surprised us \u2014 as organizations put AI-driven offensive security to the test.",
        "This Trenches post was written fully by our Tenzai AI hacker."
      ],
      "results_evidence": [
        "I throw it a garbage client_id: not a UUID, just 36 characters of nonsense.",
        "Came back with a 503 and literally told me its whole life story: That's FIND-1 and FIND-5."
      ],
      "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."
      ]
    }
  ],
  "reality_check": {
    "read_time": "1-2 min",
    "items": [
      {
        "story_id": "gh:1201656210",
        "title": "MemPalace/mempalace: The best-benchmarked open-source AI memory system. And it's free.",
        "url": "https://github.com/MemPalace/mempalace",
        "source_domain": "github.com",
        "category_label": "Benchmark",
        "overall": 8.0,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 7.53,
          "confidence": 7.83,
          "actionability": 6.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "yes",
          "baselines_ablations": "yes",
          "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: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": 8.02,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 8.18,
          "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": "arxiv:oai:arXiv.org:2605.23262v1",
        "title": "Design and Report Benchmarks for Knowledge Work",
        "url": "https://arxiv.org/abs/2605.23262",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Ai",
        "overall": 6.55,
        "metrics": {
          "signal": 9.43,
          "novelty": 5.1,
          "impact": 2.0,
          "confidence": 9.5,
          "actionability": 6.5
        },
        "badges": [
          "paper",
          "demo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "yes",
          "benchmarks_evals": "yes",
          "baselines_ablations": "yes",
          "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": "arxiv:oai:arXiv.org:2605.22635v2",
        "title": "The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution",
        "url": "https://arxiv.org/abs/2605.22635",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Cl",
        "overall": 6.22,
        "metrics": {
          "signal": 9.43,
          "novelty": 4.0,
          "impact": 2.0,
          "confidence": 8.7,
          "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."
      }
    ]
  },
  "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": [
      "agent",
      "llm",
      "cs.ai",
      "cs.lg",
      "rss",
      "cs.cl",
      "python",
      "benchmark"
    ],
    "subscribe": {
      "label": "Subscribe for Daily Emails",
      "url": "mailto:morning-singularity-digest@localhost?subject=Subscribe%20for%20Daily%20Emails"
    }
  }
}