external/sentry-security-review/skill-writer/SKILL.md
Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to "create a skill", "write a skill", "synthesize sources into a skill", "improve a skill from positive/negative examples", "update a skill", or "maintain skill docs and registration". Handles source capture, depth gates, authoring, registration, and validation.
npx skillsauth add seikaikyo/dash-skills skill-writerInstall 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.
Use this as the single canonical workflow for skill creation and improvement. Primary success condition: maximize high-value input coverage before authoring so the resulting skill has minimal blind spots.
Load only the path(s) required for the task:
| Task | Read |
|------|------|
| Set skill class and required dimensions | references/mode-selection.md |
| Apply writing constraints for depth vs concision | references/design-principles.md |
| Select structure pattern for this skill | references/skill-patterns.md |
| Select workflow orchestration pattern for process-heavy skills | references/workflow-patterns.md |
| Select output format pattern for deterministic quality | references/output-patterns.md |
| Choose workflow path and required outputs | references/mode-selection.md |
| Load representative synthesis examples by skill type | references/examples/*.md |
| Synthesize external/local sources with depth gates | references/synthesis-path.md |
| Author or update SKILL.md and supporting files | references/authoring-path.md |
| Optimize skill description and trigger precision | references/description-optimization.md |
| Iterate using positive/negative/fix examples | references/iteration-path.md |
| Evaluate behavior and compare baseline vs with-skill (opt-in quantitative) | references/evaluation-path.md |
| Register and validate skill changes | references/registration-validation.md |
create, update, synthesize, iterate).references/foo.md, scripts/check.py)references/mode-selection.md and select the required path(s).workflow-process, integration-documentation, security-review, skill-authoring, generic).Read references/synthesis-path.md.
references/examples/*.md when the skill is hybrid.Read references/iteration-path.md first when selected path includes iteration (for example operation iterate).
Skip this step when selected path does not include iteration.
Read references/authoring-path.md.
SKILL.md in imperative voice with trigger-rich description.references/skill-patterns.md, references/workflow-patterns.md, and
references/output-patterns.md for structure and output determinism.Read references/description-optimization.md.
Read references/evaluation-path.md.
references/evaluation-path.md.Read references/registration-validation.md.
Return:
SummaryChanges MadeValidation ResultsOpen Gapstools
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.