Token导航 LogoToken导航

Agent Skill · 研究检索

skill-system-insight(技能系统洞察)

skill-system-insight 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

skill-system-insight 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 39,257。

总安装 1,443周安装 62GitHub Stars 4下载 506核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skill-system-insight(技能系统洞察)
来源仓库:https://github.com/arthur0824hao/skills
仓库路径:skills/skill-system-insight
安装命令:
npx skills add https://github.com/arthur0824hao/skills --skill skill-system-insight
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/arthur0824hao/skills --skill skill-system-insight

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。支持基于关键词、任务场景或来源线索进行信息筛选与整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

skill-system-insight 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/skill-system-insight

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/arthur0824hao/skills --skill skill-system-insi…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-system-insight 怎么安装?

在终端执行 npx skills add https://github.com/arthur0824hao/skills --skill skill-system-insight。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-system-insight 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skill-system-insight 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

skill-system-insight 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

skill-system-insight 用的人多吗?

公开数据是累计安装 1,443 次,近一周安装 62 次,下载 506 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skill-system-insight 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skill-system-insight

技能系统洞察 · 本页

1,4434只读未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Skill System Insight

Deprecated compatibility surface. skill-system-soul is now the canonical owner of observe/evolve behavior, but this skill remains available so existing insight routes, docs, and tests do not break during the merge window.

Unified OBSERVE → EVOLVE engine for user adaptation.

This skill turns sessions into structured behavioral insights ("facets"), uses those facets to maintain a dual-matrix soul state, and periodically evolves soul profiles and workflow recipes — all versioned and rollbackable.

Two Phases, One Skill

Phase 1 — OBSERVE
  Extract facets → Update matrix buffers → (optional) Trigger synthesis

Phase 2 — EVOLVE
  Read accumulated data → Plan evidence-backed changes → Apply with versioning → Snapshot for audit/rollback

Phase 1 produces raw signal. Phase 2 consumes it to make durable changes.

The evolve lifecycle can run through an arena comparison loop:

session -> facets -> evolve proposals -> arena A/B -> merge suggestion

The arena stage only emits recommendations. It never auto-switches profiles and never auto-merges changes.

Architecture: Hybrid 3-Layer System

Layer 1: Base Profile (balanced.md)
  - Static skeleton: section format + safety/quality defaults.

Layer 2: Dual Matrix (soul-state)
  - Personality Matrix (slow/stable): openness, directness, autonomy, rigor, warmth
  - Emotion Matrix (faster baseline): patience, enthusiasm, caution, empathy

Layer 3: Synthesized Profile (user.md)
  - Periodically regenerated from Layer 1 + Layer 2 + accumulated facets.
  - Every regeneration creates a versioned snapshot.

Layer 2 is the ground truth. Layer 3 is a readable, versioned projection.

Data Model

  • Facets (per-session extraction): schema/facet.yaml
  • Soul state (dual matrix + counters/buffers): schema/soul-state.yaml
  • Evolution plan (proposed changes): schema/evolution-plan.yaml
  • Evolution snapshot (versioned artifact): schema/evolution-snapshot.yaml

Storage uses the Postgres agent_memories table and typed sub-tables:

  • Facets: memory_type='episodic', category='insight-facet' → typed table: insight_facets
  • Soul state: memory_type='semantic', category='soul-state' → typed table: soul_states
  • Evolution snapshots: memory_type='episodic', category='evolution-snapshot' → typed table: evolution_snapshots

Typed functions (dual-write to both typed table and agent_memories):

  • insert_insight_facet(user, session_id, yaml,...) → stores facet
  • upsert_soul_state(user, yaml, personality, emotion,...) → stores/updates soul state
  • get_soul_state(user) → reads from soul_states
  • get_recent_facets(user, limit) → reads from insight_facets
  • insert_evolution_snapshot(user, version_tag, target,...) → stores versioned snapshot
  • get_evolution_history(user, limit) → reads from evolution_snapshots

Phase 1: OBSERVE Pipeline

Trigger (manual or suggested) → Extract Facet → Update Matrix → (optional) Synthesize Profile

References:

  • Facet extraction prompt: prompts/facet-extraction.md
  • Soul synthesis prompt: prompts/soul-synthesis.md
  • Extraction procedure: scripts/extract-facets.md
  • Matrix update algorithm: scripts/update-matrix.md
  • Profile regeneration procedure: scripts/synthesize-profile.md

How To Trigger (OBSERVE)

This is a manual workflow.

  • User can ask explicitly: "insight", "extract facets", "learn my preferences", "update my profile".
  • Router suggestion pattern (lightweight, non-pushy):

- "Want me to run an insight pass to learn from this session? (stores a facet + may update your matrix)"

When the user asks (or agrees), run:

  1. scripts/extract-facets.md
  2. scripts/update-matrix.md
  3. If the synthesis trigger fires: scripts/synthesize-profile.md

Phase 2: EVOLVE Pipeline

Trigger (manual or scheduled) → Read facets + matrix → Plan evolution → Safety check → Apply → Snapshot

References:

  • Evolution planning prompt: prompts/evolution-planning.md
  • Recipe evolution prompt: prompts/recipe-evolution.md
  • Soul evolution procedure: scripts/evolve-soul.md
  • Recipe evolution procedure: scripts/evolve-recipes.md
  • Version listing: scripts/list-versions.md
  • Rollback procedure: scripts/rollback.md

How To Trigger (EVOLVE)

  • User can ask: "evolve my profile", "evolve recipes", "list versions", "rollback to v2".
  • Automatic trigger when synthesis trigger fires during OBSERVE phase.

Version Tags

Format: v{N}_{target}_{timestamp} Example: v3_soul_20260211

Algorithm: N = 1 + max(existing N) for the same user+target. Start at N=1 if none exist.

Writes

  • Evolution snapshots → Postgres (evolution_snapshots + agent_memories)
  • Soul profiles (filesystem) → ../skill-system-soul/profiles/<user>.md
  • Workflow recipes (filesystem) → ../skill-system-workflow/recipes/*.yaml

Configuration

All runtime settings (rate limits, thresholds, step sizes, approval gates) are in config/insight.yaml.

Config is the single source of truth. Values below are documentation defaults — if they differ from config/, config/ wins.

See: ../../config/insight.yaml

Constraints (Non-Negotiable)

Transparency

Always explain what was learned and why.

  • Facets must contain evidence strings tied to concrete moments.
  • Matrix updates must add short context lines explaining each applied adjustment.
  • Every evolution change must include evidence strings from facets or state context.

Rate Limiting (defaults — see config/insight.yaml)

  • OBSERVE: Max observe.max_facets_per_day facets per user per rolling 24 hours.

- If over limit: summarize what you would have captured, ask the user to pick 1 session to record.

  • EVOLVE: Max evolve.max_passes_per_day evolution pass per day per user (across all targets).

- Use the most recent evolution-snapshot date as the limiter.

Confidence Threshold (defaults — see config/insight.yaml)

Do not change matrix values on a single observation.

  • Threshold: observe.confidence_threshold+ similar observations in the same direction.
  • Personality step size: +/- observe.personality_step per qualifying adjustment.
  • Emotion baseline step size: +/- observe.emotion_step per qualifying adjustment.

Accumulation tracked in buffers for testability and explainability.

Safety (Evolution)

  • Cannot remove core safety constraints from soul profiles.
  • Evolved profiles must retain: honest uncertainty, no hallucinated authority, refusal of harmful/illegal instructions.
  • Major changes (any dimension change > evolve.approval_drift_threshold) require explicit user approval before applying.

Where Layer 1 and Layer 3 Live

  • Base profile (Layer 1): ../skill-system-soul/profiles/balanced.md
  • Synthesized user profile (Layer 3): ../skill-system-soul/profiles/<user>.md

The synthesis step preserves the 6-section format:

  1. Identity
  2. Decision Heuristics
  3. Communication Style
  4. Quality Bar
  5. Tool Preferences
  6. Anti-Patterns

Storage Pattern (agent_memories)

Example SQL templates:

-- Store a facet
SELECT store_memory(
  'episodic', 'insight-facet',
  ARRAY['session:ses_xxx', 'user:arthu'],
  'Session Facet: <brief_summary>',
  '<full facet YAML as text>',
  '{"session_type": "...", "outcome": "..."}',
  'insight-agent', 'ses_xxx', 5.0
);

-- Store/update matrix state
SELECT store_memory(
  'semantic', 'soul-state',
  ARRAY['user:arthu', 'matrix'],
  'Soul State: arthu',
  '<full soul-state YAML as text>',
  '{"total_insights": 0, "last_updated": "..."}',
  'insight-agent', NULL, 9.0
);

-- Store evolution snapshot (typed — dual-writes to agent_memories)
SELECT insert_evolution_snapshot(
  '<user>', '<version_tag>', '<target>', '<trigger>',
  '<changes JSONB>', '<snapshot_data>', '<full YAML>',
  NULL, 'insight-agent'
);

-- Query recent facets
SELECT * FROM search_memories('insight-facet user:arthu', NULL, NULL, NULL, NULL, 0.0, 50);

-- List evolution history
SELECT * FROM get_evolution_history('<user>', 50);

Operational Notes

  • Facet extraction should be completable in one pass. If you cannot justify an adjustment with concrete evidence, propose no adjustment.
  • Users may communicate in Chinese; treat that as a signal about comfort, not as a personality dimension.
  • Keep values clamped to [0.0, 1.0].
{
  "schema_version": "2.0",
  "id": "skill-system-insight",
  "version": "2.2.0",
  "capabilities": [
    "insight-issue-routing", "insight-session-facets", "insight-extract", "insight-matrix-update", "insight-synthesize",
    "evolution-proposal-draft",
    "evolution-arena-loop",
    "evolution-soul", "evolution-recipes", "evolution-list", "evolution-rollback"
  ],
  "effects": ["db.read", "db.write", "fs.read", "fs.write"],
  "operations": {
    "route-issue-draft": {
      "description": "Route findings into a draft issue target based on tags/category without creating issues.",
      "input": {
        "finding": { "type": "object", "required": true, "description": "Finding payload with tags/category/evidence/impact/suggested_direction" },
        "project_repo": { "type": "string", "required": true, "description": "Current project repository owner/name" },
        "skill_system_repo": { "type": "string", "required": true, "description": "Skill-system repository owner/name" }
      },
      "output": {
        "description": "Draft routing payload",
        "fields": { "status": "ok | error", "target_repo": "string", "draft_command": "string" }
      },
      "entrypoints": {
        "agent": "Use scripts/insight_bundle_b012.py route-issue-draft"
      }
    },
    "extract-session-facets": {
      "description": "Session-end facet extraction to soul-state memories via mem.py DB path or pending fallback.",
      "input": {
        "user": { "type": "string", "required": true, "description": "User handle" },
        "session_id": { "type": "string", "required": true, "description": "Session id" },
        "facets": { "type": "array", "required": true, "description": "Facet entries: {dimension, value, confidence, evidence}" }
      },
      "output": {
        "description": "Extraction and storage summary",
        "fields": { "status": "ok | blocked | error", "stored_count": "integer", "skipped_low_confidence": "integer", "skipped_rate_limit": "integer" }
      },
      "entrypoints": {
        "agent": "Use scripts/insight_bundle_b012.py extract-session-facets"
      }
    },
    "evolve-proposals": {
      "description": "Generate non-destructive evolution proposals from soul-state facets with daily-pass safety.",
      "input": {
        "user": { "type": "string", "required": true, "description": "User handle" }
      },
      "output": {
        "description": "Proposal-only evolve output",
        "fields": { "status": "ok | blocked | error", "proposals": "array", "reason": "string" }
      },
      "entrypoints": {
        "agent": "Use scripts/insight_bundle_b012.py evolve-proposals"
      }
    },
    "evolve-arena-loop": {
      "description": "Run proposal -> arena -> merge-suggestion flow using current profile versus mutated proposal candidates.",
      "input": {
        "user": { "type": "string", "required": true, "description": "User handle" },
        "task": { "type": "string", "required": true, "description": "Task label" },
        "current_profile": { "type": "string", "required": true, "description": "Current active profile" },
        "proposals": { "type": "array", "required": true, "description": "Evolution proposals to evaluate" },
        "metrics": { "type": "object", "required": true, "description": "Per-candidate arena metrics" }
      },
      "output": {
        "description": "Arena and merge suggestion report",
        "fields": { "arena_runs": "array", "merge_suggestions": "array", "auto_merge": "false" }
      },
      "entrypoints": {
        "agent": "Use scripts/insight_bundle_b012.py evolve-arena-loop"
      }
    },
    "extract-facets": {
      "description": "Extract a per-session facet from transcript. Rate limited to 3/24h per user.",
      "input": {
        "session_id": { "type": "string", "required": true, "description": "Session to analyze" },
        "user": { "type": "string", "required": true, "description": "User handle" }
      },
      "output": {
        "description": "Facet YAML stored to agent_memories",
        "fields": { "status": "ok | error", "memory_id": "integer" }
      },
      "entrypoints": {
        "agent": "Follow scripts/extract-facets.md procedure"
      }
    },
    "update-matrix": {
      "description": "Update dual matrix from stored facet with confidence gating.",
      "input": {
        "user": { "type": "string", "required": true, "description": "User handle" }
      },
      "output": {
        "description": "Updated soul-state YAML stored to agent_memories",
        "fields": { "status": "ok | error", "values_changed": "boolean" }
      },
      "entrypoints": {
        "agent": "Follow scripts/update-matrix.md procedure"
      }
    },
    "synthesize-profile": {
      "description": "Regenerate Layer 3 Soul profile from matrix + recent facets. Creates versioned snapshot.",
      "input": {
        "user": { "type": "string", "required": true, "description": "User handle" }
      },
      "output": {
        "description": "User profile written to skill-system-soul/profiles/<user>.md with version snapshot",
        "fields": { "status": "ok | error", "profile_path": "string", "version_tag": "string" }
      },
      "entrypoints": {
        "agent": "Follow scripts/synthesize-profile.md then scripts/evolve-soul.md snapshot step"
      }
    },
    "evolve-soul": {
      "description": "Evolve soul profile from accumulated insight data. Creates versioned snapshot.",
      "input": {
        "user": { "type": "string", "required": true, "description": "User handle" }
      },
      "output": {
        "description": "Evolution result with version tag",
        "fields": { "version_tag": "string", "changes": "array", "profile_path": "string" }
      },
      "entrypoints": {
        "agent": "Follow scripts/evolve-soul.md procedure"
      }
    },
    "evolve-recipes": {
      "description": "Evolve workflow recipes based on effectiveness data from insight facets.",
      "input": {
        "user": { "type": "string", "required": true, "description": "User handle" }
      },
      "output": {
        "description": "Recipe evolution result with version tag",
        "fields": { "version_tag": "string", "recipes_changed": "array" }
      },
      "entrypoints": {
        "agent": "Follow scripts/evolve-recipes.md procedure"
      }
    },
    "list-versions": {
      "description": "List all evolution snapshots for a user.",
      "input": {
        "user": { "type": "string", "required": true },
        "target": { "type": "string", "required": false, "description": "Filter: soul | recipe | all" }
      },
      "output": {
        "description": "Array of version snapshots",
        "fields": { "versions": "array of {tag, target, timestamp, summary}" }
      },
      "entrypoints": {
        "agent": "Follow scripts/list-versions.md procedure"
      }
    },
    "rollback": {
      "description": "Restore a previous evolution version.",
      "input": {
        "user": { "type": "string", "required": true },
        "version_tag": { "type": "string", "required": true, "description": "Version tag to restore" }
      },
      "output": {
        "description": "Rollback result",
        "fields": { "status": "ok | error", "restored_from": "string" }
      },
      "entrypoints": {
        "agent": "Follow scripts/rollback.md procedure"
      }
    }
  },
  "stdout_contract": {
    "last_line_json": true,
    "note": "The b012 helper script emits pretty-printed JSON to stdout for routing, facet extraction, and evolve proposals."
  }
}

平台分布

Codex

31.35%
按下载量换算159

Claude

31.12%
按下载量换算157

Cursor

19.2%
按下载量换算97

Gemini CLI

9.18%
按下载量换算46

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills