external/trailofbits-security/trailmark/skills/trailmark-review-gate/SKILL.md
Runs a Trailmark structural review gate over a branch, pull request, fix commit, release diff, or git ref range to detect new entrypoints, new tainted paths, removed validation or authorization calls, privilege-boundary drift, blast-radius growth, complexity growth, and newly reachable sensitive sinks. Use when reviewing a PR, branch, remediation commit, or release diff where graph-level security regressions should be checked before merge.
npx skillsauth add seikaikyo/dash-skills trailmark-review-gateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Apply deterministic security gate rules to Trailmark structural diff evidence. This skill does not replace line-level review. It produces a compact structural packet reviewers can cite while they inspect the code.
trailmark or trailmark-structural.differential-review.trailmark-finding-triage.| Rationalization | Why It Is Wrong | Required Action |
|---|---|---|
| "The line diff is small, so no graph gate is needed" | Small changes can create new call paths | Compare before/after graphs |
| "Graph gate passed, so the PR is secure" | The gate only checks structural regressions | Still perform line-level review |
| "Trailmark failed, so pass the gate" | Tool failure is unknown risk, not success | Emit UNKNOWN |
| "Tests pass, so removed validation is fine" | Tests may miss affected entrypoint paths | Review the removed path manually |
| "Only new code matters" | Removed auth, validation, and callers can be higher risk than additions | Review removals and path changes |
Review Gate Progress:
- [ ] Step 1: Resolve before/after inputs
- [ ] Step 2: Build graph-evolution evidence
- [ ] Step 3: Normalize structural changes
- [ ] Step 4: Apply gate rules
- [ ] Step 5: Emit review packet and actions
Accept two refs, a branch name, a commit range, or before/after directories.
Do not check out branches unnecessarily. Prefer git diff, git show, and
git worktrees, following the graph-evolution snapshot workflow.
Run graph-evolution or equivalent Trailmark before/after graph analysis.
Both snapshots must run engine.preanalysis() so taint, privilege-boundary,
blast-radius, complexity, and entrypoint signals are available.
Record Trailmark version and any feature probes. If graph construction fails,
emit UNKNOWN.
Normalize evidence into:
Apply the rules in references/gate-rules.md. Gate verdicts are:
| Verdict | Meaning |
|---|---|
| FAIL | A high-risk structural regression needs review before acceptance |
| WARN | A meaningful graph change needs reviewer attention |
| PASS | No configured structural gate fired |
| UNKNOWN | Trailmark failed or evidence is too incomplete |
Write the packet using
references/output-format.md, then hand it to
the branch reviewer. Use
references/review-integration.md when
combining this packet with differential-review or another PR review process.
PASS when Trailmark failed.FAIL and WARN.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.