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/graph-evolution

Compares Trailmark code graphs at two source code snapshots (git commits, tags, or directories) to surface security-relevant structural changes. Detects new attack paths, complexity shifts, blast radius growth, taint propagation changes, and privilege boundary modifications that

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$ npx -y skills add trailofbits/skills --skill graph-evolution --agent claude-code

SKILL.md

graph-evolution.SKILL.md
name: graph-evolution
description: >
  Compares Trailmark code graphs at two source code snapshots (git commits,
  tags, or directories) to surface security-relevant structural changes.
  Detects new attack paths, complexity shifts, blast radius growth, taint
  propagation changes, and privilege boundary modifications that text diffs
  miss. Use when comparing code between commits or tags, analyzing structural
  evolution, detecting attack surface growth, reviewing what changed between
  audit snapshots, or finding security-relevant changes that text diffs miss.

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-review` for text-diff analysis)
  • Single-snapshot analysis (use the `trailmark` skill directly)
  • Diagram generation from a single snapshot (use the `diagramming-code` skill)
  • Mutation testing triage (use the `genotoxic` skill)

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*

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Questions about graph-evolution.

Which coding agents can use graph-evolution?
graph-evolution installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.