external/sentry-security-review/typing-exclusion-worker/SKILL.md
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.
npx skillsauth add seikaikyo/dash-skills typing-exclusion-workerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Execute one assigned typing batch safely and predictably:
Before starting, confirm these inputs exist in the task prompt:
If any are missing, ask for them before editing.
pyproject.toml.# type: ignore; if unavoidable, use narrow ignore[code] with a short reason.Apply exclusion change
pyproject.toml.Run mypy on assigned scope
isinstance narrowing, accurate return types, typed class attrs, relation-safe model access).Run tests for touched area
Run pre-commit on changed files
pre-commit run --files <changed files>.Final verification
Any.obj.related) when stubs do not expose raw *_id attributes.Return this exact structure at the end of each batch:
## Batch Summary
- Branch/worktree: `<name>`
- Ownership/domain: `<team-or-domain>`
### Modules Removed From Exclusion
- `<module.path.one>`
- `<module.path.two>`
### Files Changed
- `<path>`
- `<path>`
### Key Typing Fixes
- `<short rationale + fix>`
- `<short rationale + fix>`
### Validation
- `mypy`: `<pass/fail + scope>`
- `pre-commit --files`: `<pass/fail>`
- `pytest`: `<pass/fail + scope>`
### Notes
- Remaining blockers: `<none or details>`
- Any new ignore entries: `<none or file + ignore code + reason>`
Stop and report instead of widening scope when:
pyproject.toml cannot be resolved safely,tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.