external/sentry-security-review/commit/SKILL.md
ALWAYS use this skill when committing code changes — never commit directly without it. Creates commits following Sentry conventions with proper conventional commit format and issue references. Trigger on any commit, git commit, save changes, or commit message task.
npx skillsauth add seikaikyo/dash-skills commitInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Follow these conventions when creating commits for Sentry projects.
Before committing, always check the current branch:
git branch --show-current
If you're on main or master, you MUST create a feature branch first — unless the user explicitly asked to commit to main. Do not ask the user whether to create a branch; just proceed with branch creation. The create-branch skill should derive and create a suitable branch name automatically.
Use the create-branch skill to create the branch. After create-branch completes, verify the current branch has changed before proceeding:
git branch --show-current
If still on main or master, stop — do not commit.
<type>(<scope>): <subject>
<body>
<footer>
The header is required. Scope is optional. All lines must stay under 100 characters.
| Type | Purpose |
|------|---------|
| feat | New feature |
| fix | Bug fix |
| ref | Refactoring (no behavior change) |
| perf | Performance improvement |
| docs | Documentation only |
| test | Test additions or corrections |
| build | Build system or dependencies |
| ci | CI configuration |
| chore | Maintenance tasks |
| style | Code formatting (no logic change) |
| meta | Repository metadata |
| license | License changes |
\n sequencesFixes SENTRY-1234).When creating commits from the CLI, do not embed escaped newlines like \n inside -m strings. That produces literal backslash characters in the final commit message.
Prefer one of these patterns:
git commit -m "type(scope): Subject" \
-m "First paragraph with real line wrapping.
Second paragraph.
Fixes GH-1234
Co-Authored-By: (the agent's name and attribution byline)"
git commit
Use the editor flow when the message needs careful formatting.
Reference issues in the footer using these patterns:
Fixes GH-1234
Fixes #1234
Fixes SENTRY-1234
Refs LINEAR-ABC-123
Fixes closes the issue when mergedRefs links without closingWhen changes were primarily generated by a coding agent, include the Co-Authored-By attribution in the commit footer. Agents should use their own identity:
Co-Authored-By: (the agent's name and attribution byline)
Example: Co-Authored-By: Claude Sonnet 4 <[email protected]>
This is the only indicator of AI involvement that should appear in commits. Do not add phrases like "Generated by AI", "Written with Claude", or similar markers in the subject, body, or anywhere else in the commit message.
fix(api): Handle null response in user endpoint
The user API could return null for deleted accounts, causing a crash
in the dashboard. Add null check before accessing user properties.
Fixes SENTRY-5678
Co-Authored-By: (the agent's name and attribution byline)
feat(alerts): Add Slack thread replies for alert updates
When an alert is updated or resolved, post a reply to the original
Slack thread instead of creating a new message. This keeps related
notifications grouped together.
Refs GH-1234
ref: Extract common validation logic to shared module
Move duplicate validation code from three endpoints into a shared
validator class. No behavior change.
feat(api)!: Remove deprecated v1 endpoints
Remove all v1 API endpoints that were deprecated in version 23.1.
Clients should migrate to v2 endpoints.
BREAKING CHANGE: v1 endpoints no longer available
Fixes SENTRY-9999
revert: feat(api): Add new endpoint
This reverts commit abc123def456.
Reason: Caused performance regression in production.
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.