Xpersona

Crawler Summary

datasette-plugins answer-first brief

Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI --- name: datasette-plugins description: "Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or Published capability contract available. No trust telemetry is available yet. 11 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

datasette-plugins is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 98/100

datasette-plugins

Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI --- name: datasette-plugins description: "Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or

OpenClawself-declared

Public facts

7

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-contentNo verified compatibility signals11 GitHub stars

Published capability contract available. No trust telemetry is available yet. 11 GitHub stars reported by the source. Last updated 2/24/2026.

11 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 22, 2026

Vendor

Datasette

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 11 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/datasette/skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Datasette

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

11 GitHub stars

profilemedium
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

python

from datasette import hookimpl

@hookimpl
def prepare_connection(conn):
    conn.create_function("hello_world", 0, lambda: "Hello world!")

text

datasette-my-plugin/
├── pyproject.toml
├── datasette_my_plugin/
│   ├── __init__.py      # Plugin implementation
│   ├── static/          # Optional: JS/CSS files
│   └── templates/       # Optional: Jinja2 templates
└── tests/
    └── test_plugin.py

toml

[project]
name = "datasette-my-plugin"
version = "0.1.0"
description = "My Datasette plugin"
requires-python = ">=3.10"
dependencies = ["datasette"]
[dependency-groups]
dev = [
    "pytest",
    "pytest-asyncio"
]

[project.entry-points.datasette]
my_plugin = "datasette_my_plugin"

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

python

from datasette import hookimpl
import hashlib

@hookimpl
def prepare_connection(conn):
    conn.create_function("md5", 1, lambda s: hashlib.md5(s.encode()).hexdigest())

python

from datasette import hookimpl, Response

@hookimpl
def register_routes():
    return [
        (r"^/-/my-page$", my_page_view),
    ]

async def my_page_view(datasette, request):
    return Response.html("<h1>My Custom Page</h1>")

python

@hookimpl
def startup(datasette):
    async def inner():
        db = datasette.get_database()
        await db.execute_write("""
            CREATE TABLE IF NOT EXISTS my_table (id INTEGER PRIMARY KEY, data TEXT)
        """)
    return inner

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI --- name: datasette-plugins description: "Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or

Full README

name: datasette-plugins description: "Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI"

Datasette Plugin Development

Overview

Datasette plugins extend Datasette's functionality using Python and the pluggy plugin system. Plugins can add SQL functions, custom routes, authentication, UI elements, and more.

Quick Start: One-off Plugin

Create plugins/my_plugin.py:

from datasette import hookimpl

@hookimpl
def prepare_connection(conn):
    conn.create_function("hello_world", 0, lambda: "Hello world!")

Run with: datasette serve mydb.db --plugins-dir=plugins/

Installable Plugin Structure

For distributable plugins, use this structure:

datasette-my-plugin/
├── pyproject.toml
├── datasette_my_plugin/
│   ├── __init__.py      # Plugin implementation
│   ├── static/          # Optional: JS/CSS files
│   └── templates/       # Optional: Jinja2 templates
└── tests/
    └── test_plugin.py

pyproject.toml

[project]
name = "datasette-my-plugin"
version = "0.1.0"
description = "My Datasette plugin"
requires-python = ">=3.10"
dependencies = ["datasette"]
[dependency-groups]
dev = [
    "pytest",
    "pytest-asyncio"
]

[project.entry-points.datasette]
my_plugin = "datasette_my_plugin"

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

Core Plugin Hooks

See references/hooks.md for complete hook documentation.

Most Common Hooks

| Hook | Purpose | |------|---------| | prepare_connection(conn, database, datasette) | Register custom SQL functions | | register_routes(datasette) | Add custom URL routes | | startup(datasette) | Initialize on server start | | render_cell(row, value, column, table, database, datasette, request) | Customize cell display | | extra_template_vars(...) | Add template variables | | actor_from_request(datasette, request) | Custom authentication | | permission_allowed(datasette, actor, action, resource) | Custom permissions |

Example: Custom SQL Function

from datasette import hookimpl
import hashlib

@hookimpl
def prepare_connection(conn):
    conn.create_function("md5", 1, lambda s: hashlib.md5(s.encode()).hexdigest())

Example: Custom Route

from datasette import hookimpl, Response

@hookimpl
def register_routes():
    return [
        (r"^/-/my-page$", my_page_view),
    ]

async def my_page_view(datasette, request):
    return Response.html("<h1>My Custom Page</h1>")

Example: Startup Hook

@hookimpl
def startup(datasette):
    async def inner():
        db = datasette.get_database()
        await db.execute_write("""
            CREATE TABLE IF NOT EXISTS my_table (id INTEGER PRIMARY KEY, data TEXT)
        """)
    return inner

Plugin Configuration

Plugins read configuration from datasette.yaml:

plugins:
  datasette-my-plugin:
    option1: value1
    option2: value2

Access in plugin:

@hookimpl
def startup(datasette):
    config = datasette.plugin_config("datasette-my-plugin") or {}
    my_option = config.get("option1", "default")

Secret Configuration

Use environment variables:

plugins:
  datasette-my-plugin:
    api_key:
      $env: MY_API_KEY

Or files:

plugins:
  datasette-my-plugin:
    api_key:
      $file: /secrets/api-key

Testing Plugins

from datasette.app import Datasette
import pytest

@pytest.mark.asyncio
async def test_plugin_installed():
    datasette = Datasette(memory=True)
    response = await datasette.client.get("/-/plugins.json")
    assert response.status_code == 200
    plugins = {p["name"] for p in response.json()}
    assert "datasette-my-plugin" in plugins

@pytest.mark.asyncio
async def test_custom_route():
    datasette = Datasette(memory=True)
    response = await datasette.client.get("/-/my-page")
    assert response.status_code == 200
    assert "My Custom Page" in response.text

Run tests: pytest

Response Types

from datasette import Response

# HTML response
Response.html("<h1>Hello</h1>")

# JSON response
Response.json({"key": "value"})

# Text response
Response.text("Plain text")

# Redirect
Response.redirect("/other-page")

# Custom response
Response(body, content_type="text/plain", status=200, headers={})

URL Design

Use /-/ prefix to avoid conflicts with database names:

  • /-/my-feature - Global feature
  • /dbname/-/my-feature - Database-specific
  • /dbname/tablename/-/my-feature - Table-specific

Static Assets & Templates

Static files in static/ are served at: /-/static-plugins/PLUGIN_NAME/filename.js

Templates in templates/ override Datasette defaults. Priority:

  1. --template-dir argument
  2. Plugin templates
  3. Datasette defaults

Common Patterns

Adding Menu Items

@hookimpl
def menu_links(datasette, actor):
    return [{"href": "/-/my-page", "label": "My Feature"}]

Table Actions

@hookimpl
def table_actions(datasette, actor, database, table):
    return [{"href": f"/{database}/{table}/-/action", "label": "My Action"}]

Custom Output Renderer

@hookimpl
def register_output_renderer(datasette):
    return {
        "extension": "csv",
        "render": render_csv,
    }

async def render_csv(datasette, columns, rows):
    # Return Response object
    pass

Event Tracking

@hookimpl
def track_event(datasette, event):
    print(f"Event: {event.name}, Actor: {event.actor}")

Debugging

Enable hook tracing:

DATASETTE_TRACE_PLUGINS=1 datasette mydb.db

Key Imports

from datasette import hookimpl, Response
from datasette.app import Datasette
from datasette.filters import FilterArguments
from datasette.permissions import Action, Resource, PermissionSQL
import markupsafe  # For safe HTML in render_cell

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/datasette-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/datasette-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/datasette-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/datasette/skill#input",
  "outputSchemaRef": "https://github.com/datasette/skill#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:44:23.818Z",
  "sourceUpdatedAt": "2026-02-24T19:44:23.818Z",
  "freshnessSeconds": 4419825
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/datasette-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/datasette-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/datasette-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/datasette-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/datasette-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/datasette-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:28:09.196Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "add",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:add|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/datasette-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/datasette-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:44:23.818Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/datasette-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/datasette-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:23.818Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/datasette/skill#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/datasette-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:44:23.818Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Datasette",
    "href": "https://github.com/datasette/skill",
    "sourceUrl": "https://github.com/datasette/skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "11 GitHub stars",
    "href": "https://github.com/datasette/skill",
    "sourceUrl": "https://github.com/datasette/skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/datasette-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/datasette-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to datasette-plugins and adjacent AI workflows.