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SKILL verified Apache-2.0 Self-run

Typing Exclusion Worker

skill-getsentry-skills-typing-exclusion-worker · by getsentry

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

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Install

$ agentstack add skill-getsentry-skills-typing-exclusion-worker

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Typing Exclusion Worker

Purpose

Execute one assigned typing batch safely and predictably:

  • remove only assigned modules from mypy exclusions,
  • fix surfaced typing issues in scope,
  • run required checks,
  • return a consistent summary for the manager/orchestrator.

Inputs Required

Before starting, confirm these inputs exist in the task prompt:

  • worktree/branch name,
  • exact module list to remove from exclusion,
  • ownership/domain boundary,
  • expected validation commands (if customized).

If any are missing, ask for them before editing.

Scope Rules (Hard Constraints)

  1. Only remove assigned module entries from the mypy exclusion list in pyproject.toml.
  2. Keep code changes in assigned scope unless a direct dependency is required to pass typing/tests.
  3. Do not expand to cross-team modules unless explicitly approved by the manager.
  4. Avoid blanket # type: ignore; if unavoidable, use narrow ignore[code] with a short reason.

Execution Workflow

  1. Apply exclusion change
  • Remove assigned modules from the exclusion override in pyproject.toml.
  1. Run mypy on assigned scope
  • Prefer targeted paths first for fast feedback.
  • Fix errors using explicit typing patterns (isinstance narrowing, accurate return types, typed class attrs, relation-safe model access).
  1. Run tests for touched area
  • Execute targeted pytest for modified modules/tests.
  • Fix regressions before continuing.
  1. Run pre-commit on changed files
  • Run pre-commit run --files .
  • If hooks auto-fix files, rerun until clean.
  1. Final verification
  • Re-run targeted mypy and tests after final edits.
  • Ensure no unrelated files were changed.

Python Typing Best Practices

  • Prefer precise types over Any.
  • Use type narrowing on unions before attribute access.
  • Keep method overrides signature-compatible with base classes.
  • Annotate class attributes in tests/helpers when inference is weak.
  • Use relation objects (obj.related) when stubs do not expose raw *_id attributes.

Required Output Template

Return this exact structure at the end of each batch:

## Batch Summary

- Branch/worktree: ``
- Ownership/domain: ``

### Modules Removed From Exclusion

- ``
- ``

### Files Changed

- ``
- ``

### Key Typing Fixes

- ``
- ``

### Validation

- `mypy`: ``
- `pre-commit --files`: ``
- `pytest`: ``

### Notes

- Remaining blockers: ``
- Any new ignore entries: ``

Stop Conditions (Escalate to Manager)

Stop and report instead of widening scope when:

  • fixes require touching another team/domain,
  • exclusion conflicts in pyproject.toml cannot be resolved safely,
  • error volume indicates batch is too large and should be split.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.