How should python-typing be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

python-typing answer-first brief

Migrate Python codebases to strict type checking with pyright. Use when user wants to add types, fix type errors, set up strict mode, or run a typing migration. Provides setup automation, fix patterns, discipline enforcement, and optional iteration loop support. --- name: python-typing description: Migrate Python codebases to strict type checking with pyright. Use when user wants to add types, fix type errors, set up strict mode, or run a typing migration. Provides setup automation, fix patterns, discipline enforcement, and optional iteration loop support. --- Python Typing Migrate Python codebases to strict type checking using pyright. Onboarding On first invocation, run th Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

python-typing is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 80/100

python-typing

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals3 GitHub stars

Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

3 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Tmustier

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

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

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/tmustier/python-typing.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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

Tmustier

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Adoption (1)

Adoption signal

3 GitHub stars

profilemedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

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

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

text

What level of type checking?
  A) strict - Maximum type safety (recommended for new projects)
  B) standard - Balanced (recommended for existing codebases)
  C) basic - Minimal, just obvious bugs

bash

npx pyright --outputjson 2>/dev/null | jq '.summary.errorCount' # strict
npx pyright -p pyrightconfig-standard.json --outputjson 2>/dev/null | jq '.summary.errorCount'

text

Setup options:
  A) Recommended - Full setup with tracking and rules
  B) Minimal - Just pyright config and rules
  C) Custom - Choose each component

bash

python3 <SKILL_PATH>/scripts/init_typing.py --level {strict|standard|basic} --full

bash

python3 <SKILL_PATH>/scripts/init_typing.py --level {strict|standard|basic}

text

Recommended approach - fix in layers:

1. Quick wins: unused imports, missing return types, generic args
2. Annotations: parameter types, class attributes
3. Type safety: None checks, narrowing, unions
4. Structural: conditional imports, TypedDict, Protocol
5. External: missing stubs, third-party workarounds
6. Edge cases: complex generics, metaprogramming

Run analysis first:
  python3 <SKILL_PATH>/scripts/analyze_typing.py

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

name: python-typing description: Migrate Python codebases to strict type checking with pyright. Use when user wants to add types, fix type errors, set up strict mode, or run a typing migration. Provides setup automation, fix patterns, discipline enforcement, and optional iteration loop support.

Python Typing

Migrate Python codebases to strict type checking using pyright.

Onboarding

On first invocation, run the setup flow:

1. Determine Strictness Level

If user explicitly said "strict typing", use strict. Otherwise ask:

What level of type checking?
  A) strict - Maximum type safety (recommended for new projects)
  B) standard - Balanced (recommended for existing codebases)
  C) basic - Minimal, just obvious bugs

Run pyright at each level to show baselines:

npx pyright --outputjson 2>/dev/null | jq '.summary.errorCount' # strict
npx pyright -p pyrightconfig-standard.json --outputjson 2>/dev/null | jq '.summary.errorCount'

2. Choose Setup Type

Setup options:
  A) Recommended - Full setup with tracking and rules
  B) Minimal - Just pyright config and rules
  C) Custom - Choose each component

3. Run Setup

For Recommended (A):

python3 <SKILL_PATH>/scripts/init_typing.py --level {strict|standard|basic} --full

This installs:

pyrightconfig-{level}.json
.long-task-harness/ with typing rules
typing-findings.md
Pre-commit hook
long-task-harness (if not present)
ralph-wiggum plugin (Claude Code only)

For Minimal (B):

python3 <SKILL_PATH>/scripts/init_typing.py --level {strict|standard|basic}

For Custom (C): Ask which components, then run with appropriate flags.

4. Explain What Was Installed

After setup, explain each component:

What pyrightconfig does
What the rules enforce and why
What long-task-harness provides (link to docs)
How ralph-wiggum works (if installed)

5. Show Fix Strategy

Recommended approach - fix in layers:

1. Quick wins: unused imports, missing return types, generic args
2. Annotations: parameter types, class attributes
3. Type safety: None checks, narrowing, unions
4. Structural: conditional imports, TypedDict, Protocol
5. External: missing stubs, third-party workarounds
6. Edge cases: complex generics, metaprogramming

Run analysis first:
  python3 <SKILL_PATH>/scripts/analyze_typing.py

6. Offer Iteration Loop (if ralph-wiggum installed)

Show the prompt template and confirm before user runs it.

Fixing Errors

Workflow

Run npx pyright to see current errors
Pick 5-10 related errors (same file or type)
Fix properly (no shortcuts)
Run pyright to verify
Commit with descriptive message
Repeat

Rules (Critical)

No # type: ignore - Fix the actual issue. If truly unfixable, document in typing-findings.md first.
No assert x is not None - Use proper patterns:
- Early return: if x is None: return
- Conditional: if x is not None: x.method()
- Raise with context: if x is None: raise ValueError("x required")
Avoid Any - Use specific types, TypeVar, Union, Protocol, or object.
Avoid cast() - Use isinstance() narrowing or TypeGuard.

Common Patterns

See references/patterns.md for detailed fix patterns:

Conditional imports (try/except)
TypedDict for dict shapes
Protocol for duck typing
Third-party stubs
Complex generics

When Stuck

Check patterns.md for similar issues
Check typing-findings.md for documented workarounds
For third-party libs: install stubs or document limitation
Ask for help rather than using type:ignore

Progress Tracking

With long-task-harness

Update .long-task-harness/long-task-progress.md with:

Error count at start/end of session
Files/modules fixed
Patterns discovered
Decisions made

Every 50 Errors

Review work for consistency
Document new patterns in typing-findings.md
Note any recurring issues

Ralph-Wiggum Loop

For unattended iteration (Claude Code only):

/ralph-loop "Fix pyright strict mode errors.

## Setup
Run: npx pyright
Baseline: {ERROR_COUNT} errors

## Rules (CRITICAL)
1. Do NOT use # type: ignore - fix the actual issue
2. Do NOT use assert x is not None - use proper conditionals
3. Avoid Any - use specific types
4. Avoid cast() - use isinstance() narrowing

## Workflow
1. Run pyright, note error count
2. Pick 5-10 related errors (same file or same type)
3. Fix them properly
4. Run pyright to verify
5. Commit with descriptive message
6. Repeat

## Every 50 Errors
- Review for consistency
- Document unfixable issues in typing-findings.md
- Note patterns

## If Stuck
- Check typing-findings.md for similar issues
- For third-party libs: document and use minimal workaround
- Ask for help rather than using type: ignore

## Completion
When pyright reports 0 errors: <promise>TYPING_COMPLETE</promise>" --completion-promise "TYPING_COMPLETE" --max-iterations 300

References

references/patterns.md - Common fix patterns by category
references/faq.md - Detailed FAQ for common questions

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/tmustier-python-typing/snapshot"

curl -s "https://xpersona.co/api/v1/agents/tmustier-python-typing/contract"

curl -s "https://xpersona.co/api/v1/agents/tmustier-python-typing/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

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

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

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

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

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

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/tmustier-python-typing/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/tmustier-python-typing/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/tmustier-python-typing/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/tmustier-python-typing/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/tmustier-python-typing/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/tmustier-python-typing/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:27:33.437Z"
    }
  },
  "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"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|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": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Tmustier",
    "href": "https://github.com/tmustier/python-typing",
    "sourceUrl": "https://github.com/tmustier/python-typing",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:12:45.488Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/tmustier-python-typing/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/tmustier-python-typing/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:12:45.488Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "3 GitHub stars",
    "href": "https://github.com/tmustier/python-typing",
    "sourceUrl": "https://github.com/tmustier/python-typing",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:12:45.488Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/tmustier-python-typing/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/tmustier-python-typing/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
  }
]