Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

datagouv-apis数据管理 API

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

329

周安装

14

GitHub Stars

16

下载量

115
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:datagouv-apis(数据管理 API)
来源仓库:https://github.com/datagouv/datagouv-skill
仓库路径:skills/datagouv-apis
安装命令:
npx skills add https://github.com/datagouv/datagouv-skill --skill datagouv-apis
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/datagouv/datagouv-skill --skill datagouv-apis

简介

访问 data.gouv.fr 开放数据平台的三大 HTTP API:主接口、指标和表格数据。

  • 支持外部 dataservices 的发现与调用,仅限读取除非明确授权写入操作。
  • 优先使用 MCP 工具进行对话式目录探索,提升元数据检索效率。
  • 调用第三方服务前应验证 API 密钥权限,防止越权访问敏感数据集。
  • datagouv-apis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

data.gouv.fr APIs — Consolidated Reference

Three HTTP APIs (Main, Metrics, Tabular) plus dataservices (external HTTP APIs described on the platform; they used to be referenced on api.gouv.fr and are now dataservices on data.gouv.fr). This file is consumption-first: read paths and discovery; writes only when the user explicitly wants them and an API key is available.


How to use this skill

  • MCP first: If the client exposes data.gouv.fr MCP tools, use them for conversational catalog exploration; they orchestrate the same platform capabilities with typed tool calls. For dataservices in particular, search_dataservices matches the intent of GET /dataservices/; after a hit, load the detail record (machine_documentation_url, base_api_url, etc.) via MCP or via GET /dataservices/{id}/ before calling the upstream API. Endpoint: https://mcp.data.gouv.fr/mcp. Repos: datagouv-mcp, datagouv-skill. Tool names vary by server version—follow the host’s tool list and fall back to the HTTP endpoints in this document when MCP is missing or insufficient (dataservices: GET https://www.data.gouv.fr/api/1/dataservices/ with q, filters, and next_page, then GET /dataservices/{id}/).
  • HTTP otherwise: Use the Main, Metrics, and Tabular base URLs below. Prefer GET responses over assumptions: do not invent dataset or resource IDs; cite slugs, UUIDs, and URLs returned by the API.
  • Automation vs chat: MCP suits interactive exploration; the Main API suits reproducible scripts and the full route surface.
  • Writes (atypical): Never log or echo X-API-KEY. Use POST/PUT/PATCH/DELETE only with clear user intent and a configured key. On 401/403, distinguish missing key from insufficient permissions; on 404, re-check id vs slug and use search. Do not expand into full producer pipelines here.

Choosing an API (intent → surface)

User goalUse
Search or read catalog metadata, resources, orgs, reuses, discussionsMain API — e.g. GET /datasets/, GET /datasets/{id}/, resources under the dataset
Filter/sort/paginate rows of a CSV resource hosted for TabularTabular API — after steps in §3 Tabular API
Platform usage / statistics (models such as dataset, organization, site)Metrics API — see Swagger for {model} and column filters
Call an external API (legacy catalog: api.gouv.fr; now dataservices on data.gouv.fr)Dataservices — MCP search_dataservices or GET /dataservices/, then machine_documentation_url + base_api_url (steps in §1 Main API)

Identifiers and catalog visibility

  • Technical UUID vs slug: Both work in many paths; prefer the UUID from API responses for stable automation.
  • Resolve before Tabular: Tabular {rid} is the resource UUID from GET /datasets/{id}/ (or .../resources/). If you only have a slug, GET the dataset first and read resources[].id.
  • Stable resource link: GET /datasets/r/{id}/ redirects to the latest resource for that id.
  • Search is not “the whole web”: GET /datasets/ supports filters such as archived, deleted, private. Defaults may hide some records; set query params explicitly when the user needs a full picture and the key allows it.

Pagination and rate limits

  • Lists return data, page, page_size, total, next_page, previous_page. Follow next_page until empty instead of guessing page counts.
  • Use a reasonable page_size; avoid hammering the service or downloading the entire catalog page by page without need.
  • Respect X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset: slow down or backoff when remaining is low.

Demo vs production

  • Production: https://www.data.gouv.fr/api/1/ (and production Metrics / Tabular hosts below).
  • Demo: https://demo.data.gouv.fr/api/1/ — for tests only; do not present demo results as production facts unless the user asked for demo.

Glossary

  • Dataset: A catalog entry (metadata, licence, frequency, tags) grouping resources.
  • Resource: A file or API link attached to a dataset (CSV, JSON, GeoJSON, etc.); each has an id used by Tabular when the file is tabular-compatible on the platform.
  • Organization / producer: Publisher entity; datasets may belong to an organization.
  • Reuse: A project or article that references platform datasets or dataservices.
  • Dataservice: A documented external HTTP API (OpenAPI/Swagger often at machine_documentation_url) with a base_api_url for calls. Same class of APIs that were once referenced on api.gouv.fr; the catalog entry on the open data platform is now a dataservice.
  • Slug: Human-readable id in URLs; may change; UUID is safer for scripts.

Producer coaching (documentation and publication quality)

When the user asks how to prepare, document, or legally qualify data for publication on data.gouv.fr without using write APIs here, ground answers in the official guides (fetch pages if the client allows, otherwise give links): Guide qualité, Guide juridique. This skill is not legal advice; encourage human review for obligations and licensing.


Intent routing (optional)

flowchart LR
  subgraph discovery [Discovery]
    A[CatalogMetadata]
    B[RowQueries]
    C[UsageStats]
    D[ExternalAPI]
  end
  A --> MainAPI[MainAPI]
  B --> TabularAPI[TabularAPI]
  C --> MetricsAPI[MetricsAPI]
  D --> Dataservices[DataservicesThenUpstream]

1. Main API

Base URL: https://www.data.gouv.fr/api/1/ | Demo: https://demo.data.gouv.fr/api/1/

Auth: Read public. Write (POST/PUT/PATCH/DELETE): header X-API-KEY. Permissions = web (org member to edit org datasets). private: true for drafts. IDs: technical id or slug; prefer technical id. Content: JSON; file uploads: multipart/form-data. Optional: X-Fields to limit returned fields.

Response: Paginated lists: data, page, page_size, total, next_page, previous_page. Errors: 400, 401, 403, 404, 410, 423, 500, 502. Body: {"message":"..."}. Rate limits: X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset.

Datasets

MethodPath
GET/datasets/ — q, page, page_size, sort, organization, owner, tag, license, format, geozone, granularity, temporal_coverage, schema, topic, archived, deleted, private
POST/datasets/ — title, description, frequency, last_update, organization/owner, license, tags, private
GET/PUT/DELETE/datasets/{id}/
GET/datasets/{id}/resources/
POST/datasets/{id}/resources/ — create
PUT/datasets/{id}/resources/ — reorder (body: array)
GET/PUT/DELETE/datasets/{id}/resources/{rid}/
POST/datasets/{id}/resources/{rid}/upload/ or /datasets/{id}/upload/
POST/DELETE/datasets/{id}/badges/, /datasets/{id}/badges/{badge_kind}/
POST/DELETE/datasets/{id}/featured/
GET/POST/DELETE/datasets/{id}/followers/
GET/datasets/{id}/rdf, /datasets/{id}/rdf.{_format}
GET/POST/.../datasets/community_resources/, .../{community}/, .../upload/
GET/datasets/badges/, frequencies/, licenses/, resource_types/, extensions/, schemas/
GET/datasets/suggest/, suggest/formats/, suggest/mime/ — q, size
GET/datasets/r/{id}/ — redirect to latest resource
GET/datasets/recent.atom

Organizations

MethodPath
GET/POST/organizations/
GET/PUT/DELETE/organizations/{id}/
POST/PUT/DELETE/organizations/{id}/member/{user}/ — role: admin
GET/POST/organizations/{id}/membership/, .../accept/{id}/, .../refuse/{id}/
GET/organizations/{id}/datasets/, reuses/, discussions/, contacts/, contacts/suggest/
GET/organizations/{id}/datasets.csv, dataservices.csv, datasets-resources.csv, discussions.csv
GET/organizations/{id}/catalog, catalog.{_format}
GET/POST/DELETE/organizations/badges/, {id}/badges/, {id}/badges/{badge_kind}/
POST/PUT/organizations/{id}/logo/
GET/organizations/roles/, suggest/
GET/POST/DELETE/organizations/{id}/followers/

Users

MethodPath
GET/POST/users/
GET/PUT/DELETE/users/{id}/
POST/users/{id}/avatar/
GET/users/{id}/contacts/
GET/users/roles/, suggest/
GET/POST/DELETE/users/{id}/followers/

Me (authenticated)

MethodPath
GET/PUT/DELETE/me/
DELETE/POST/me/apikey/
POST/me/avatar/
GET/me/datasets/, reuses/, metrics/, org_datasets/, org_reuses/, org_community_resources/, org_discussions/

Reuses

MethodPath
GET/POST/reuses/ — q, organization, owner, tag, topic, type, dataset, featured
GET/PUT/DELETE/reuses/{id}/
POST/reuses/{id}/datasets/, dataservices/
GET/POST/DELETE/reuses/badges/, {id}/badges/, {id}/featured/
POST/reuses/{id}/image/
GET/reuses/topics/, types/, suggest/
GET/POST/DELETE/reuses/{id}/followers/
GET/reuses/recent.atom

Dataservices (external APIs)

External administrative or public HTTP APIs were historically listed on api.gouv.fr; they are now represented as dataservices on data.gouv.fr (GET /dataservices/, object fields below).

MethodPath
GET/POST/dataservices/ — GET: q, page, page_size, organization, owner, topic, tag, access_type, featured, dataset, sort
GET/PATCH/DELETE/dataservices/{id}/ — GET returns base_api_url, machine_documentation_url (OpenAPI/Swagger spec), title, description, organization, license, etc.
POST/dataservices/{id}/datasets/ — body: [{id}]
DELETE/dataservices/{id}/datasets/{dataset}/
POST/DELETE/dataservices/{id}/featured/
GET/dataservices/{id}/rdf, rdf.{_format}
GET/POST/DELETE/dataservices/{id}/followers/
GET/dataservices/recent.atom

Access and auth: Each object includes access_type (and related fields such as access_type_reason, authorization_request_url). Rules are per dataservice, not platform-wide: follow the web page (self_web_url), business_documentation_url, and the upstream OpenAPI for API keys, OAuth, DataPass, or other flows.

Rate limits: rate_limiting and rate_limiting_url describe producer quotas on the external API. The Main API’s **X-RateLimit-* headers apply only to catalog** requests (/dataservices/, etc.), not to calls you make to base_api_url.

Bulk export (metadata): GET /site/dataservices.csv returns a site-wide CSV of dataservice rows for spreadsheets or scripts (same catalog as the JSON list).

OpenAPI is authoritative: Always fetch machine_documentation_url before calling the live API. Paths, parameters, and schemas come from that spec; if human text on the portal or this skill disagrees with the fetched OpenAPI, trust the OpenAPI (same principle as Metrics and Tabular Swaggers in §References and freshness).

To use a dataservice: (1) Find it: MCP search_dataservices or GET /dataservices/?q=term (follow next_page until done). (2) GET /dataservices/{id}/ (or the MCP equivalent) for machine_documentation_url and base_api_url. (3) Fetch machine_documentation_url for the OpenAPI spec. (4) Call base_api_url per that spec.

Contacts, Harvest, Discussions, Notifications

MethodPath
POST/contacts/ — name, email, role
GET/contacts/roles/
GET/PUT/DELETE/contacts/{id}/
GET/POST/harvest/sources/
GET/PUT/DELETE/harvest/source/{id}/
GET/harvest/source/{id}/jobs/, /harvest/job/{ident}/
POST/harvest/source/{id}/run/
POST/DELETE/harvest/source/{id}/schedule/
GET/POST/harvest/source/{id}/preview/, /harvest/source/preview/
POST/harvest/source/{id}/validate/
GET/harvest/backends/
GET/POST/PUT/DELETE/discussions/, discussions/{id}/
POST/discussions/{id}/ — comment, close (body)
PUT/DELETE/discussions/{id}/comments/{idx}/
DELETE/discussions/{id}/comments/{idx}/spam/, discussions/{id}/spam/
GET/notifications/
POST/notifications/{id}/read/

Posts, Pages, Reports, Transfer, Activity, Site, Spatial, Tags

MethodPath
GET/POST/posts/ — name, content, body_type, kind, datasets, reuses
GET/PUT/DELETE/posts/{id}/
POST/PUT/posts/{id}/image/
POST/DELETE/posts/{id}/publish/
GET/posts/recent.atom
GET/POST/pages/
GET/PUT/pages/{id}/
GET/POST/reports/ — reason (explicit_content
GET/reports/reasons/
GET/PATCH/reports/{id}/
GET/POST/transfer/, transfer/{id}/ — subject, recipient, comment; response: accept\refuse
GET/activity/ — user, organization, related_to
GET/PATCH/site/
GET/site/catalog, catalog.{_format}, context.jsonld, data.{_format}
GET/site/datasets.csv, dataservices.csv, reuses.csv, organizations.csv, resources.csv, harvests.csv, tags.csv
GET/access_type/reason_categories/
GET/avatars/{identifier}/{size}/
GET/spatial/granularities/, levels/, coverage/{level}/, zone/{id}/, zone/{id}/datasets/, zones/{ids}/, zones/suggest/
GET/tags/suggest/
GET/spam/
GET/proconnect/auth, login/, logout, logout_oauth
GET/POST/workers/jobs/
GET/PUT/DELETE/workers/jobs/{id}/
GET/workers/jobs/schedulables/, workers/tasks/{id}/

2. Metrics API

Base URL: https://metric-api.data.gouv.fr | Swagger: https://metric-api.data.gouv.fr/api/doc

MethodPathDescription
GET/api/{model}/data/Paginated metrics rows (JSON). Params: page, page_size, column__sort, column__exact, column__contains, column__less, column__greater
GET/api/{model}/data/csv/Metrics export for {model} as CSV (same column filters as JSON where applicable; not the Tabular API resource CSV format)
GET/health/Health check

{model} = table name (e.g. site, organization, dataset). See Swagger for models and columns.


3. Tabular API

Base URL: https://tabular-api.data.gouv.fr | Swagger: https://tabular-api.data.gouv.fr/api/doc | Per-resource: GET /api/resources/{rid}/swagger/

{rid} = resource UUID from main API (dataset's resources).

Tabular data workflow (use in order):

  1. GET /api/resources/{rid}/ — confirm the resource is exposed and get links.
  2. GET /api/resources/{rid}/profile/ — column types, stats, indexes.
  3. GET /api/resources/{rid}/swagger/ — allowed query params and operators per column (read before complex filters).
  4. GET /api/resources/{rid}/data/page and page_size (max 50). For aggregations, check /api/aggregation-exceptions/ first (only listed resources/columns may support groupby/count/sum, etc.).
MethodPathDescription
GET/api/resources/{rid}/Metadata, links to profile/data/swagger
GET/api/resources/{rid}/profile/Column types, formats, stats, indexes
GET/api/resources/{rid}/swagger/OpenAPI for data endpoint (columns, operators)
GET/api/aggregation-exceptions/Resource UUIDs allowed for aggregation
GET/api/resources/{rid}/data/Filter, sort, paginate (page, page_size max 50)
GET/api/resources/{rid}/data/csv/Stream CSV
GET/api/resources/{rid}/data/json/Stream JSON
GET/health/Health check

Data params: columns=col1,col2 | Filter: column__exact, __differs, __isnull, __isnotnull, __contains, __notcontains, __in, __notin, __less, __greater, __strictly_less, __strictly_greater | Sort: column__sort=asc|desc | Aggregation (allowed resources, indexed cols): column__groupby, __count, __avg, __min, __max, __sum. JSON columns: only isnull/isnotnull.


Quick examples

import requests

BASE = "https://www.data.gouv.fr/api/1"

# 1) Search catalog, then open first hit
r = requests.get(f"{BASE}/datasets/", params={"q": "transport", "page_size": 5}).json()
first = r["data"][0]
ds = requests.get(f"{BASE}/datasets/{first['id']}/").json()

# 2) Pick a CSV resource UUID, then Tabular profile + data (use any resource id exposed by Tabular)
csvs = [res for res in ds["resources"] if res.get("format", "").lower() == "csv"]
rid = csvs[0]["id"] if csvs else ds["resources"][0]["id"]
requests.get(f"https://tabular-api.data.gouv.fr/api/resources/{rid}/profile/").json()
requests.get(
    f"https://tabular-api.data.gouv.fr/api/resources/{rid}/data/",
    params={"page": 1, "page_size": 20},
).json()

# 3) Direct file download (when you need the raw file, not row filtering)
url = next(res["url"] for res in ds["resources"] if res["id"] == rid)
requests.get(url, stream=True)
# Metrics API — paginated dataset metrics (models/columns in Swagger)
requests.get(
    "https://metric-api.data.gouv.fr/api/dataset/data/",
    params={"page": 1, "page_size": 20},
).json()

Python client: https://github.com/etalab/datagouv-client-python


References and freshness

For sharing with humans, dataset pages on www.data.gouv.fr use slugs from API fields; metadata and ids should still come from GET responses.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.06%
按下载量换算43

Claude

29.71%
按下载量换算34

Cursor

20.75%
按下载量换算24

Gemini CLI

9.2%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills