cognee-permissions
Use when working with cognee's permission system — understanding or changing how users, roles, and tenants get access to datasets, how ACL grants work, where permissions are enforced in add/cognify/search/delete, and how the grant records surface in the memory-provenance view.
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add topoteretes/cognee --skill cognee-permissions
维护状态
新鲜
今天有推送
风险
需审查
Permission surface may require sandboxing
GitHub 质量
30K
92/100 质量 · 80/100 信任
覆盖标签
审查说明
Permission surface may require sandboxing · SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
优秀高置信候选,具有较强的采用度与健康维护信号。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
30K 个 GitHub Stars
仓库活跃度
30K 个 Star,3.0K 个 Fork
维护状态
今天有推送
许可证
Apache-2.0
安装
npx skills add topoteretes/cognee --skill cognee-permissions
安装安全性
标准软件包或运行时安装路径
权限范围
filesystem or document access, network or browser access
Agent 结果
暂未有 Agent 结果数据
文档
Usable metadata, review docs
风险摘要
生产前审查
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- Permission surface: filesystem or document access, network or browser access
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Database and SQL 工作流
- Claude Code 团队
- 重视 GitHub 采用信号的团队
- Understand table relationships
适用 Agent
安装决策
- 命令
- npx skills add topoteretes/cognee --skill cognee-permissions
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 72/100
- 审计
- 87/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
- 暂未有 OpenAgentSkill 使用反馈数据
- 高风险权限提示:Secrets or environment access
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
55/100 · 安装前审查
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
高
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
中
数据库访问
Skill 可能检查 Schema、查询数据库或处理持久化存储。
- 高风险权限提示:Secrets or environment access
- Permission surface may require sandboxing
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install topoteretes-cognee-permissionsAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20cognee-permissions%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20cognee-permissions%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/topoteretes-cognee-permissions/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use cognee-permissions in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20cognee-permissions%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/topoteretes-cognee-permissions/install
Install command: npx skills add topoteretes/cognee --skill cognee-permissions
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/topoteretes-cognee-permissions/install
LLM 文本格式
/api/skills/topoteretes-cognee-permissions/install?format=text
寻找替代方案
/api/skills/search?q=cognee-permissions&limit=3
Agent 提示词
Use cognee-permissions for this task. Review https://www.openagentskill.com/api/skills/topoteretes-cognee-permissions/install, then install with: npx skills add topoteretes/cognee --skill cognee-permissionsRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
适合 Database and SQL 的首选
将其作为优先候选,再在你的 Agent 环境中验证 README 与安装路径。
栈中角色
首选
主要匹配
Database and SQL
信任标签
可用于生产
安装路径
命令已就绪
适用场景
- Database and SQL 工作流
- Claude Code 团队
- 重视 GitHub 采用信号的团队
证据
- 30,192 个 GitHub Stars
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 92/100 质量档案
先审查
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
- 暂未有 OpenAgentSkill 使用反馈数据
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Database and SQL任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
通过30K 个 GitHub Stars
Star/Fork 活跃度
通过30K 个 Star,3.0K 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过今天有推送
许可证清晰度
通过Apache-2.0
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- Large GitHub adoption signal
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- SKILL.md content appears truncated in the provided excerpt; ensure the full document is present in the repository.
- Quality score needs review
- Permission surface needs review: filesystem or document access, network or browser access
- Permission surface: filesystem or document access, network or browser access
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
优秀 适用于 Agent 工作流的候选
高置信候选,具有较强的采用度与健康维护信号。
工作流匹配
在这些场景使用此 Skill
Work with data stores
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
工作流匹配
加入完整工作流
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: cognee-permissions description: Use when working with cognee's permission system — understanding or changing how users, roles, and tenants get access to datasets, how ACL grants work, where permissions are enforced in add/cognify/search/delete, and how the grant records surface in the memory-provenance view. ---
# The cognee permission system
## The master switch
`ENABLE_BACKEND_ACCESS_CONTROL` decides whether any of this runs:
- `true` (default): multi-tenant mode. Every API call requires auth, every dataset operation is permission-checked, and each user+dataset pair gets isolated graph/vector/relational databases (tracked in the `DatasetDatabase` model, supported backends: Kuzu, LanceDB, SQLite, Postgres). - `false`: single-user mode. Permission checks short-circuit to allowed, there is no per-dataset isolation, and **every user's operations resolve to the same shared databases and datasets**. Authentication is a separate knob: `REQUIRE_AUTHENTICATION`. Unset, it inherits this switch (so turning access control off also turns auth off) — but if `REQUIRE_AUTHENTICATION=true` is set, endpoints still demand a login; authenticated users are identified but *not isolated*, all pointing at the same data. The reverse misconfiguration (`REQUIRE_AUTHENTICATION=false` with access control on) is ignored: auth is forced on with a warning, because multi-tenant isolation is meaningless without identity (`get_authenticated_user.py`).
## The core model: principals, permissions, ACL grants
Everything reduces to one relation — **a grant**: *principal* × *permission* × *dataset*, stored as one `ACL` row (`modules/users/models/ACL.py`).
- **Principal** (`Principal.py`) is polymorphic: `User`, `Role`, and `Tenant` all inherit from it. Any of the three can hold a grant, which is how role-wide and tenant-wide access work — one ACL row covers every member. - **Permission** (`Permission.py`) is one of exactly four names, defined in `permissions/permission_types.py`: `read`, `write`, `delete`, `share`. `share` is the meta-permission: it gates granting/revoking access for others. - **Membership** is separate from grants: `UserRole` and `UserTenant` link users into roles/tenants. A user's effective access is the union of their own grants and the grants of every role/tenant they belong to.
## How grants come into existence
1. **Dataset creation** (`modules/data/methods/create_authorized_dataset.py`): the creating user is granted **all four permissions** on the new dataset. If the user has a `parent_user_id` (sub-users/agent identities), the parent is auto-granted all four as well — parents always see their children's datasets. 2. **Explicit sharing** (`permissions/methods/ authorized_give_permission_on_datasets.py`): the caller must hold `share` on the target datasets, then any principal (user, role, or tenant) can be granted any permission. Revocation mirrors this (`authorized_revoke_permission_on_datasets.py`). 3. **Capabilities — tenant-scoped grants of actions, not data** (landing via PR #4302, currently in review): a new `principal_capabilities` table, keyed on `(principal, tenant, capability)`. Where an ACL row grants access to *a dataset*, a capability grants *an action inside a tenant* — the first one being `manage_users`. The catalog of capability names is code (`CAPABILITY_TYPES` in `permission_types.py`), not a database table, "because the code is what gives each name meaning"; only the assignment of a capability to a principal is data. `tenant_id` is stored on every row because a user can belong to multiple tenants: it pins each grant to the user's membership in one specific tenant, so holding a capability in one tenant never carries over to the same user's other tenants. Resolution (`get_effective_capabilities(user, tenant)`) returns the union of what the tenant grants all of its members, what the user's roles in that tenant grant, and what the user was granted personally — there is no deny in the model, resolution is gated on actual tenant membership, and the tenant owner short-circuits as holding every capability. Grant/revoke endpoints ride the permissions router.
## Where permissions are enforced
The single chokepoint for dataset resolution is `get_authorized_existing_datasets(datasets, permission, user)` — every entrypoint resolves names/IDs through it with the permission it needs:
| Operation | Required permission | Enforcement path | |---|---|---| | `add` / `cognify` / `remember` | `write` | dataset resolution before the pipeline runs | | `search` / `recall` / visualize | `read` | dataset resolution; retrieval is restricted to documents of readable datasets | | `delete` / prune of a dataset | `delete` | `datasets.py` resolves with `"delete"` | | grant/revoke for others | `share` | `authorized_give/revoke_permission_on_datasets` |
Two behaviors worth knowing:
- **Denied reads return empty results, not 403.** A search against a dataset you cannot read yields `[]` — deliberate, to avoid leaking which datasets exist. When debugging "search returns nothing", check grants before checking the graph.
## Roles, tenants, and who may manage them
- **User management** (listing tenant users, assigning/removing roles, adding/removing users) is allowed for the **tenant owner** always, and today for members of roles named in `USER_MANAGEMENT_ALLOWED_ROLE_NAMES` (currently `{"admin"}`, `permissions/permission_types.py`). That name-matching is a known footgun — any customer group that happens to be called "admin" gets user management — and PR #4302 replaces it: the check becomes "does the requester hold the `manage_users` capability in this tenant" (owner always passes), with the role-name match kept only as a deprecated fallback so tenants upgrading from the old check don't lose user management until their `admin` role is granted the capability. - **Role visibility**: members of a role can see the role itself and their co-members; anyone with user-management permission sees all (`tenants/methods/get_users_in_role.py`). Lookups are tenant-scoped — a role id from another tenant cannot be used to read that tenant's members.
## The grant records in memory provenance (the new grant view)
`api/v1/visualize/memory_provenance.py` surfaces the ACL grants as first-class graph data. Each grant becomes an `AclGrantRecord`:
```python {"principal_id": ..., "principal_kind": "user" | "role" | "tenant", "permission": ...} ```
and is rendered into the provenance graph as an edge from the principal node to the dataset, with the permission mapped to a relation name (`_ACL_EDGE_RELATIONS`):
| permission | provenance edge | |---|---| | read | `reads` | | write | `writes` | | delete | `can_delete` | | share | `can_share` |
Grants are rendered (never dropped) even when the principal is unknown, because "an ACL row exists because someone granted it". The view is exposed through the schema router (`get_schema_router.py`): `visualize_memory_provenance` (HTML) and `get_memory_provenance_payload` (JSON) — this is where you *see* the permission state of a memory rather than query it.
## HTTP API surface (`api/v1/permissions/routers/get_permissions_router.py`)
| Endpoint | What it does | |---|---| | `POST /permissions/datasets/{principal_id}` | grant a permission on datasets to a principal (requires `share`) | | `DELETE /permissions/datasets/{principal_id}` | revoke a permission | | `POST /permissions/roles` · `DELETE /permissions/roles/{role_id}` | create/delete a role | | `POST/DELETE /permissions/users/{user_id}/roles` | add/remove a user to/from a role | | `POST /permissions/users/{user_id}/tenants` | add a user to a tenant | | `GET /permissions/tenants/{tenant_id}/roles/{role_id}/users` | members of a role (self-visible to members) | | `GET /permissions/tenants/{tenant_id}/roles/users/{user_id}` | a user's roles | | `GET /permissions/tenants/{tenant_id}/users` | users in a tenant | | `GET /permissions/tenants/me` | the caller's tenants |
## Key files map
- Models: `cognee/modules/users/models/` — `ACL`, `Principal`, `Permission`, `Role`, `Tenant`, `UserRole`, `UserTenant`, `DatasetDatabase` (and `PrincipalCapability` once #4302 lands) - Methods: `cognee/modules/users/permissions/methods/` — grant/revoke, checks, dataset resolution, document filtering - Enforcement chokepoint: `cognee/modules/data/methods/` (`get_authorized_existing_datasets`, `create_authorized_dataset`) - Grant provenance view: `cognee/api/v1/visualize/memory_provenance.py` - HTTP API: `cognee/api/v1/permissions/routers/get_permissions_router.py`
技术详情
- 版本
- 1.0.0
- 许可证
- Apache-2.0
- 最近更新
- 2026年8月23日
- 发布时间
- 2026年8月23日
决策摘要
首选
30,192 个 GitHub Stars
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 cognee-permissions 准备的场景化草稿,可手动发布到 X。
cognee-permissions: Use when working with cognee's permission system — understanding or changing how users, roles... 30.2K stars https://www.openagentskill.com/skills/topoteretes-cognee-permissions?ref=x
可选:带安装命令的回复
Listing + install path for cognee-permissions: https://www.openagentskill.com/skills/topoteretes-cognee-permissions?ref=x Install: npx skills add topoteretes/cognee --skill cognee-permissions
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- topoteretes
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 topoteretes,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/topoteretes-cognee-permissions)
[](https://www.openagentskill.com/skills/topoteretes-cognee-permissions)
[](https://www.openagentskill.com/skills/topoteretes-cognee-permissions/audit)
[](https://www.openagentskill.com/skills/topoteretes-cognee-permissions)作者
topoteretes
@topoteretes
平台适配
健康信号
- GitHub Stars
- 30.2K
- 质量评分
- 55/100
- 最近 GitHub 推送
- 2026年8月23日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 0
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度30K 个 GitHub Stars通过
- Star/Fork 活跃度30K 个 Star,3.0K 个 Fork; 当前元数据中没有议题活跃度信息通过
- 近期维护今天有推送通过
- 许可证清晰度Apache-2.0通过
- README/SKILL.md 完整度公开元数据需要更完整的 README/SKILL.md 上下文信息
- 依赖与运行时风险network or browser surface, database surface信息
相关 Skill
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
53.5K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
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