정보
그래프-진화 스킬은 두 스냅샷 간 코드 그래프를 비교하여 기존 텍스트 diff가 놓치는 새로운 공격 경로 및 블래스트 레디어스 확장과 같은 보안 관련 구조적 변화를 탐지합니다. 커밋이나 태그를 분석하여 보안 영향과 공격 표면 진화를 이해할 때 사용하세요. 코드 버전 간 변경 사항을 감사하는 데 이상적입니다.
빠른 설치
Claude Code
추천npx skills add trailofbits/skills -a claude-code/plugin add https://github.com/trailofbits/skillsgit clone https://github.com/trailofbits/skills.git ~/.claude/skills/graph-evolutionClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
Graph Evolution
Builds Trailmark code graphs at two source snapshots and computes a structural diff. Surfaces security-relevant changes that text-level diffs miss: new attack paths, complexity shifts, blast radius growth, taint propagation changes, and privilege boundary modifications.
When to Use
- Comparing two git refs to understand what structurally changed
- Auditing a range of commits for security-relevant evolution
- Detecting new attack paths created by code changes
- Finding functions whose blast radius or complexity grew silently
- Identifying taint propagation changes across refactors
- Pre-release structural comparison (tag-to-tag or branch-to-branch)
When NOT to Use
- Line-level code review (use
differential-reviewfor text-diff analysis) - Single-snapshot analysis (use the
trailmarkskill directly) - Diagram generation from a single snapshot (use the
diagramming-codeskill) - Mutation testing triage (use the
genotoxicskill)
Rationalizations to Reject
| Rationalization | Why It's Wrong | Required Action |
|---|---|---|
| "We just need the structural diff, skip pre-analysis" | Without pre-analysis, you miss taint changes, blast radius growth, and privilege boundary shifts | Run engine.preanalysis() on both snapshots |
| "Text diff covers what changed" | Text diffs miss new attack paths, transitive complexity shifts, and subgraph membership changes | Use structural diff to complement text diff |
| "Only added nodes matter" | Removed security functions and shifted privilege boundaries are equally dangerous | Review removals and modifications, not just additions |
| "Low-severity structural changes can be ignored" | INFO-level changes (dead code removal) can mask removed security checks | Classify every change, review removals for replaced functionality |
| "One snapshot's graph is enough for comparison" | Single-snapshot analysis can't detect evolution — you need both before and after | Always build and export both graphs |
| "Tool isn't installed, I'll compare manually" | Manual comparison misses what graph analysis catches | Install trailmark first |
| "The diff came back empty, so nothing changed structurally" | trailmark diff defaults --language to python and exits 0 with empty arrays on any other target, so an empty diff reads identically whether the code is unchanged or the language was wrong | Pass --language explicitly and re-run before concluding no change |
Prerequisites
trailmark must be installed. If uv run trailmark fails, run:
uv tool install trailmark
# Python snippets: uv run --with trailmark python - (a tool env is not importable)
DO NOT fall back to "manual comparison" or reading source files as a substitute for running trailmark. The tool must be installed and used programmatically. If installation fails, report the error.
Quick Start
# Compare two git refs (e.g., tags, branches, commits)
# 1. Build graphs at each snapshot
# 2. Run pre-analysis on both
# 3. Compute structural diff
# 4. Generate report
# Step-by-step: see Workflow below
Decision Tree
├─ Need to understand what each metric means?
│ └─ Read: references/evolution-metrics.md
│
├─ Need the report output format?
│ └─ Read: references/report-format.md
│
├─ Already have two graph JSON exports?
│ └─ Jump to Phase 3 (run native diff + graph_diff.py)
│
└─ Starting from two git refs?
└─ Start at Phase 1
Workflow
Graph Evolution Progress:
- [ ] Phase 1: Create snapshots (git worktrees)
- [ ] Phase 2: Build graphs + pre-analysis on both snapshots
- [ ] Phase 3: Compute structural diff
- [ ] Phase 4: Interpret diff and generate report
- [ ] Phase 5: Clean up worktrees
Phase 1: Create Snapshots
Use git worktrees to get clean copies of each ref without disturbing the working tree.
# Create temp directories for worktrees
BEFORE_DIR=$(mktemp -d)
AFTER_DIR=$(mktemp -d)
# Create worktrees (run from repo root)
git worktree add "$BEFORE_DIR" {before_ref}
git worktree add "$AFTER_DIR" {after_ref}
If comparing two directories instead of git refs, skip this phase and use the directory paths directly in Phase 2.
Phase 2: Build Graphs and Run Pre-Analysis
Build Trailmark graphs for both snapshots and run pre-analysis on each. Pre-analysis computes blast radius, taint propagation, privilege boundaries, and entrypoint enumeration.
from trailmark.query.api import QueryEngine
def build_and_export(target_dir, output_path, language="auto"):
"""Build graph, run pre-analysis, export JSON."""
engine = QueryEngine.from_directory(target_dir, language=language)
engine.preanalysis()
json_str = engine.to_json()
with open(output_path, "w") as f:
f.write(json_str)
return engine.summary()
import tempfile, os
work_dir = tempfile.mkdtemp(prefix="trailmark_evolution_")
before_json = os.path.join(work_dir, "before_graph.json")
after_json = os.path.join(work_dir, "after_graph.json")
before_summary = build_and_export(
"{before_dir}", before_json
)
after_summary = build_and_export(
"{after_dir}", after_json
)
Verify both graphs built successfully by checking the summary output.
If either fails, rerun with an explicit language or comma-separated list
instead of auto.
Phase 3: Compute Structural Diff
Run both:
- Trailmark's native structural diff for nodes, edges, and entrypoints
- The plugin's
graph_diff.pyhelper for subgraph membership changes
Use the same work_dir from Phase 2, and pass the same --language value Phase 2
built with. trailmark diff defaults that flag to python, so on any other
target the default exits 0 and writes empty arrays rather than reporting a
mismatch.
trailmark diff --json --language auto "{before_dir}" "{after_dir}" > "{work_dir}/trailmark_diff.json" || \
uv run trailmark diff --json --language auto "{before_dir}" "{after_dir}" > "{work_dir}/trailmark_diff.json"
uv run {baseDir}/scripts/graph_diff.py \
--before "{before_json}" \
--after "{after_json}" > "{work_dir}/subgraph_diff.json"
If Phase 2 needed an explicit language or a comma-separated list instead of
auto, use that same value here.
If either diff command fails or writes an empty JSON file, stop and report the error instead of continuing to Phase 4.
A trailmark_diff.json whose nodes, edges, and entrypoints arrays are all
empty means either nothing changed structurally or both snapshots parsed to
(near-)empty graphs. Decide which using Phase 2's graph summaries: if either
snapshot's node count is zero or implausibly small for the target, the parse
missed the code — name the language set explicitly (rust, solidity,
python,rust) and re-run. Healthy node counts on both snapshots plus an empty
diff is genuine structural stability.
The native Trailmark diff contains:
| Key | Contents |
|---|---|
summary_delta | Changes in node/edge/entrypoint counts |
nodes.added | New functions, classes, methods |
nodes.removed | Deleted functions, classes, methods |
nodes.modified | Functions with changed CC, params, line span |
edges.added | New call/inheritance/import relationships |
edges.removed | Deleted relationships |
entrypoints | Added, removed, and modified entrypoints |
The subgraph diff contains:
| Key | Contents |
|---|---|
subgraphs | Per-subgraph membership changes (tainted, high_blast_radius, etc.) |
Phase 4: Interpret Diff and Generate Report
Read both diff JSON files and generate a security-focused markdown report. See references/report-format.md for the full template.
Interpretation priorities (highest to lowest):
- New tainted paths — nodes entering the
taintedsubgraph, especially if they also appear in added edges targeting sensitive functions - Privilege boundary changes — new or removed trust transitions from the native entrypoint/edge diff plus the subgraph diff
- Attack surface growth — new entrypoints, especially
untrusted_external, fromtrailmark_diff.json - Blast radius increases — nodes entering
high_blast_radius - Complexity spikes — CC increases > 3 on tainted or entrypoint-reachable nodes
- Structural additions — new nodes and edges (review needed)
- Structural removals — verify removed security functions were replaced
Cross-reference structural changes with git diff {before_ref}..{after_ref}
to add source-level context to findings.
Severity classification:
| Severity | Structural Signal |
|---|---|
| CRITICAL | New tainted path to sensitive function, removed auth boundary |
| HIGH | New entrypoint + high blast radius, large CC increase on tainted node |
| MEDIUM | New trust-boundary-crossing edges, moderate CC increase |
| LOW | Added nodes without entrypoint reachability |
| INFO | Dead code removal, complexity reductions |
For detailed metric definitions, see references/evolution-metrics.md.
Phase 5: Clean Up
Remove git worktrees after the report is written:
git worktree remove "{before_dir}"
git worktree remove "{after_dir}"
Diff Reference
trailmark diff --json --language auto BEFORE AFTER
uv run {baseDir}/scripts/graph_diff.py [OPTIONS]
trailmark diff --language defaults to python. On a target in any other
language that default still exits 0, emitting well-formed JSON with empty
nodes, edges, and entrypoints arrays, so always pass the flag: auto
detects and merges every supported language found under the target, and a single
name (rust, solidity) or comma-separated list (python,rust) pins an
explicit set. auto fails loudly with No supported languages detected under <path> when a snapshot holds nothing it can parse, which is the outcome you
want. Confirm the language first; only then can an empty diff count as evidence
that nothing changed.
Use trailmark diff for:
- Node/edge changes
- Added/removed/modified entrypoints
- Human-readable structural diff reports
Use graph_diff.py for:
- Subgraph membership changes derived from
engine.preanalysis() tainted,high_blast_radius,privilege_boundary, and related sets
| Argument | Default | Description |
|---|---|---|
--before | required | Path to the "before" graph JSON |
--after | required | Path to the "after" graph JSON |
--indent | 2 | JSON output indentation |
graph_diff.py input format: Trailmark JSON exports from engine.to_json().
graph_diff.py output: JSON structural diff for nodes, edges, and subgraphs.
Quality Checklist
Before delivering the report:
- Both graphs built successfully (check summaries)
- Pre-analysis ran on both snapshots
- Native Trailmark diff computed (
trailmark_diff.json); if it is empty, both snapshots' Phase 2 node counts were non-zero, so empty means stable - Subgraph diff computed and non-empty (
subgraph_diff.json) - All subgraph changes interpreted (tainted, blast radius, etc.)
- Critical findings include evidence (node IDs, edge diffs)
- Severity levels assigned to all findings
- Source-level context added via git diff cross-reference
- Worktrees cleaned up (or temp dirs removed)
- Report written to
GRAPH_EVOLUTION_*.md
Integration
trailmark skill: Phase 2 uses the trailmark API for graph building and pre-analysis. All trailmark query patterns work on either snapshot's engine.
differential-review skill: Use graph-evolution for structural analysis, differential-review for line-level code review. The two are complementary — graph-evolution finds attack paths that text diffs miss, while differential-review provides git blame context and micro-adversarial analysis.
trailmark-review-gate skill: Use trailmark-review-gate after graph-evolution when a branch, pull request, fix commit, or release diff needs a PASS/WARN/FAIL/UNKNOWN structural review packet. The gate applies deterministic review rules to graph-evolution output; it does not replace human review.
genotoxic skill: If graph-evolution reveals new high-CC tainted nodes, feed them to genotoxic for mutation testing triage.
diagramming-code skill:
Generate before/after diagrams to visualize structural changes.
Use call-graph or data-flow diagrams focused on changed nodes.
Supporting Documentation
- references/evolution-metrics.md — What each structural metric means and why it matters for security
- references/report-format.md — Report template, severity classification, and example findings
GitHub 저장소
자주 묻는 질문
graph-evolution Skill이란 무엇인가요?
graph-evolution은(는) trailofbits이(가) 만든 Claude Skill입니다. Skill은 Claude가 필요할 때 불러오는 지침과 리소스를 묶어 추가 프롬프트 없이 graph-evolution 관련 작업을 수행할 수 있게 합니다.
graph-evolution은(는) 어떻게 설치하나요?
이 페이지의 설치 명령을 사용하세요. graph-evolution을(를) Claude Code 플러그인으로 추가하거나 저장소를 skills 디렉터리에 복제한 다음 Claude를 다시 시작해 Skill을 불러옵니다.
graph-evolution은(는) 어떤 카테고리에 속하나요?
graph-evolution은(는) 개발 카테고리에 속합니다.
graph-evolution은(는) 무료로 사용할 수 있나요?
네. graph-evolution은(는) AIMCP에 등록되어 있으며 무료로 설치할 수 있습니다.
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이 스킬은 A2A 프로토콜을 사용하여 Vertex AI ADK 에이전트를 배포하고 오케스트레이션하며, AgentCard 검색, 작업 제출, 코드 실행 샌드박스 및 메모리 뱅크와 같은 지원 도구를 관리합니다. Python, Java 또는 Go 언어로 순차, 병렬 또는 루프 오케스트레이션 패턴을 갖춘 다중 에이전트 시스템 구축을 가능하게 합니다. Google Cloud에서 ADK 에이전트 배포 또는 에이전트 워크플로우 오케스트레이션을 요청받았을 때 사용하세요.
