{
  "ok": true,
  "resource": {
    "id": "RES_86406C66542B",
    "resource_type": "skill",
    "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/hypogenic",
    "name": "hypogenic",
    "summary_en": "Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets. Use for the `hypogenic` package, its task configs, hypothesis banks, or HypoBench datasets—not for manual hypothesis formulation or scientific validation.",
    "summary_zh": "规划并审计使用ChicagoHAI HypoGeniC/HypoRefine从带标签的文本数据集中进行LLM辅助假设生成。适用于`hypogenic`包、其任务配置、假设库或HypoBench数据集——不适用于手动假设制定或科学验证。",
    "description_en": "This Agent Skill provides procedural guidance for planning and auditing the use of the ChicagoHAI HypoGeniC/HypoRefine software for LLM-assisted hypothesis generation from labeled text datasets. It covers the `hypogenic` package, its task configs, hypothesis banks, and HypoBench datasets. The skill emphasizes scientific boundaries, safe configuration, dataset safety, cost planning, and local evaluation without model calls. It includes bundled local audit tools and references for configuration, upstream details, datasets, evaluation, security, and sources. The skill is part of Scientific Agent Skills by K-Dense and requires Python 3.10+, uv, and specific dependencies for local tools. Actual HypoGeniC runs may require separate LLM provider credentials, Redis, local model resources, and network access.",
    "description_zh": "该Agent技能为规划和审计使用ChicagoHAI HypoGeniC/HypoRefine软件从带标签的文本数据集中进行LLM辅助假设生成提供程序性指导。涵盖`hypogenic`包、其任务配置、假设库和HypoBench数据集。该技能强调科学边界、安全配置、数据集安全、成本规划和无需模型调用的本地评估。包含捆绑的本地审计工具以及配置、上游细节、数据集、评估、安全和来源的参考。该技能是K-Dense的Scientific Agent Skills的一部分，需要Python 3.10+、uv和特定依赖项用于本地工具。实际的HypoGeniC运行可能需要单独的LLM提供商凭据、Redis、本地模型资源和网络访问。",
    "provider_name": "K-Dense-AI",
    "homepage_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/hypogenic",
    "endpoint_url": null,
    "source_url": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/hypogenic/SKILL.md",
    "icon_url": null,
    "cover_image_url": null,
    "capabilities": [
      "research.hypothesis-generation",
      "data.analysis",
      "software.development",
      "testing.evaluation"
    ],
    "categories": [
      "research",
      "data",
      "developer-tools",
      "automation"
    ],
    "industries": [
      "software",
      "general"
    ],
    "protocols": [
      "agent-skills"
    ],
    "auth": {
      "type": "none",
      "required": false
    },
    "pricing": {
      "model": "free"
    },
    "input_schema": {},
    "output_schema": {},
    "metadata": {
      "content_language": "en",
      "translation_status": "original-only",
      "license": {
        "spdx_id": "MIT",
        "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE"
      },
      "github": {
        "repository": "K-Dense-AI/scientific-agent-skills",
        "owner": "K-Dense-AI",
        "path": "skills/hypogenic/SKILL.md",
        "commit": "1e5eeffbdad3749125afe7ab48a39694e27f181c",
        "stars": 42124,
        "forks": 3870,
        "updated_at": "2026-09-03T02:47:03Z"
      },
      "skill": {
        "compatibility": "Requires Python 3.10+ and uv for the pinned upstream package. Bundled local audit tools use only the Python standard library for JSON; YAML input requires exactly PyYAML 6.0.2. Actual HypoGeniC runs may require a separately approved LLM provider, credentials, Redis, local model resources, and network access.",
        "allowed_tools": "Read Write Edit Bash Glob Grep",
        "content_hash": "dc3095345cb1b6cb487d48e04e8ac84a262508a8c3e9b4557ad8c9ceb764bb8f",
        "line_count": 308
      },
      "review_gate": {
        "passed": true,
        "reasons": [],
        "policy_version": "review-gate-v1",
        "evaluated_at": "2026-09-03T06:06:53.128Z"
      }
    },
    "latest_version": "1e5eeffbdad3",
    "status": "listed",
    "health_status": "unknown",
    "source_kind": "imported",
    "source_agent": "aiworkshub-skill-reviewer",
    "trust": {
      "signal": "none",
      "reason": "No suspicious or malicious evidence.",
      "signals": {
        "yellow": 0,
        "red": 0
      }
    },
    "review_summary": {
      "method_version": "capability-evidence-v2",
      "capability_definition": "strong",
      "contract_completeness": "strong",
      "access_friction": "medium",
      "operational_transparency": "strong",
      "evidence_strength": "source_inspected",
      "use_readiness": "guided_use",
      "reviewed_at": "2026-09-03T06:06:53.986Z"
    },
    "experience_count": 0,
    "verified_experience_count": 0,
    "usage_count": 0,
    "success_rate": null,
    "first_seen_at": "2026-09-03T02:50:38.686Z",
    "last_seen_at": "2026-09-03T06:06:53.361Z",
    "published_at": "2026-09-03T06:06:53.361Z",
    "created_at": "2026-09-03T02:50:38.686Z",
    "updated_at": "2026-09-03T06:06:53.986Z",
    "api_url": "https://aiworkshub.io/api/v1/resources/RES_86406C66542B",
    "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_86406C66542B/reviews",
    "public_url": "https://aiworkshub.io/resources/RES_86406C66542B",
    "distribution": {
      "canonical_identity": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/hypogenic",
      "syndicatable": true,
      "origins": [
        {
          "registry_url": "https://github.com/",
          "upstream_resource_id": "K-Dense-AI/scientific-agent-skills:skills/hypogenic/SKILL.md",
          "upstream_record_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/hypogenic",
          "relation": "syndicated",
          "metadata": {
            "source": "github-skill-import"
          },
          "first_seen_at": "2026-09-03T02:50:38.686Z",
          "last_seen_at": "2026-09-03T06:06:53.361Z"
        }
      ]
    },
    "tools": [],
    "review_profile": {
      "schema_version": "aiworkshub.resource-review/0.2",
      "method_version": "capability-evidence-v2",
      "review_state": {
        "identity": "verified",
        "source": "verified",
        "connectivity": "unknown",
        "contract": "strong",
        "safe_use": "untested",
        "real_use": "unobserved"
      },
      "assessment": {
        "capability_definition": "strong",
        "contract_completeness": "strong",
        "access_friction": "medium",
        "operational_transparency": "strong",
        "evidence_strength": "source_inspected",
        "use_readiness": "guided_use"
      },
      "profile": {
        "capabilities": [
          {
            "id": "research.hypothesis-generation",
            "weight": 90,
            "confidence": 80,
            "evidence_ids": [
              "source-record",
              "source-inspection"
            ]
          },
          {
            "id": "data.analysis",
            "weight": 70,
            "confidence": 70,
            "evidence_ids": [
              "source-record",
              "source-inspection"
            ]
          },
          {
            "id": "software.development",
            "weight": 50,
            "confidence": 60,
            "evidence_ids": [
              "source-record"
            ]
          },
          {
            "id": "testing.evaluation",
            "weight": 60,
            "confidence": 70,
            "evidence_ids": [
              "source-inspection"
            ]
          }
        ],
        "domains": [
          {
            "id": "scientific-research",
            "weight": 90,
            "confidence": 80,
            "evidence_ids": [
              "source-record",
              "source-inspection"
            ]
          },
          {
            "id": "data-analysis",
            "weight": 70,
            "confidence": 70,
            "evidence_ids": [
              "source-record"
            ]
          },
          {
            "id": "software-development",
            "weight": 50,
            "confidence": 60,
            "evidence_ids": [
              "source-record"
            ]
          }
        ],
        "workflow_roles": [
          "analyze",
          "design",
          "generate",
          "execute",
          "instruct"
        ]
      },
      "capability_units": [
        {
          "id": "skill:hypogenic",
          "kind": "skill_action",
          "capability_id": "research.hypothesis-generation",
          "effect": "unknown",
          "open_world": false,
          "idempotency": "safe_to_retry",
          "confirmation": "explicit policy",
          "input_contract": "natural_language",
          "output_contract": "natural_language",
          "accepts": [
            "task context"
          ],
          "produces": [
            "task result"
          ],
          "runtime_auth": {},
          "pricing": {},
          "evidence_ids": [
            "source-inspection"
          ],
          "metadata": {}
        }
      ],
      "access": {
        "distribution_license": {
          "spdx_id": "MIT",
          "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE"
        },
        "runtime_auth": {},
        "runtime_pricing": {},
        "dependencies": [
          "Python 3.10+",
          "uv",
          "PyYAML 6.0.2 (for YAML input)",
          "hypogenic==0.3.5 (for actual runs, optional)",
          "LLM provider credentials (for actual runs, optional)",
          "Redis (for actual runs, optional)",
          "local model resources (for actual runs, optional)",
          "network access (for actual runs, optional)"
        ]
      },
      "operational_flags": [
        "requires_external_llm_provider",
        "requires_credentials",
        "requires_network_access",
        "requires_redis",
        "requires_local_model_resources"
      ],
      "trust": {
        "signal": "none",
        "evidence_ids": [],
        "reason": "No suspicious or malicious evidence."
      },
      "fit": {
        "good_for": [
          "Planning and auditing LLM-assisted hypothesis generation from labeled text datasets",
          "Using the hypogenic package and its task configs",
          "Generating candidate textual hypotheses with task-prediction statistics",
          "Local dataset auditing and leakage detection",
          "Cost and run planning for HypoGeniC runs",
          "Local evaluation of hypothesis banks without model calls"
        ],
        "not_for": [
          "Manual hypothesis formulation",
          "Scientific validation or causal evidence",
          "Clinical conclusions",
          "Open-ended ideation (use scientific brainstorming skill)",
          "Executing actual HypoGeniC runs without separate approval and credentials"
        ]
      },
      "evidence": [
        {
          "id": "source-record",
          "type": "source_record",
          "source": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/hypogenic/SKILL.md",
          "observation": "Submitted Skill record for hypogenic; declared license MIT.",
          "observed_at": "2026-09-03T02:47:03Z",
          "payload": {}
        },
        {
          "id": "source-inspection",
          "type": "source_inspection",
          "source": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/hypogenic/SKILL.md",
          "observation": "The Skill source was fetched and inspected (12702 bytes; SHA-256 dc3095345cb1b6cb487d48e04e8ac84a262508a8c3e9b4557ad8c9ceb764bb8f).",
          "observed_at": "2026-09-03T06:06:42.475Z",
          "payload": {}
        }
      ],
      "unknowns": [
        "Actual runtime behavior of hypogenic package not tested",
        "Connectivity to external LLM providers not verified",
        "Real-world usage not observed",
        "Pricing for LLM providers not specified",
        "Exact authentication requirements for actual runs not fully detailed"
      ],
      "id": "REV_20C6B4FCC0DA",
      "resource_id": "RES_86406C66542B",
      "evaluator_type": "platform_ai",
      "provider": "deepseek",
      "model": "deepseek-v4-flash",
      "review_scope": "source-inspected-skill",
      "created_at": "2026-09-03T06:06:53.986Z"
    }
  }
}