call-graph-analysis

call-graph-analysis is a skill for Claude Code from openshift-eng/ai-helpers. It costs 21 tokens per session (2,425 once invoked), scanned B, original, Apache-2.0.

A call-graph analysis workflow that traces which functions can reach a vulnerable function during program execution. A call graph is a map of possible calls between functions.

In plain words
What is it for?
Use it to confirm CVE impact in Go code, produce execution-path evidence for audits, and optionally create visual graphs with Graphviz.
Why use it?
It provides stronger evidence about whether a vulnerability is actually reachable when simpler dependency checks are inconclusive.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the compliance plugin — 4 skills, 1 command shipped together

Good fit Use it to confirm CVE impact in Go code, produce execution-path evidence for audits, and optionally create visual graphs with Graphviz.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openshift-eng/ai-helpers/call-graph-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add openshift-eng/ai-helpers --skill call-graph-analysis
Clone the repo
git clone --depth 1 https://github.com/openshift-eng/ai-helpers

Made for: Claude Code.

Or install compliance, the plugin that ships this one along with the rest of its 4 skills, 1 command.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for call-graph-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/openshift-eng/ai-helpers/call-graph-analysis.svg)](https://agentmods.dev/skills/openshift-eng/ai-helpers/call-graph-analysis)
Your own site
<a href="https://agentmods.dev/skills/openshift-eng/ai-helpers/call-graph-analysis"><img src="https://agentmods.dev/badge/skills/openshift-eng/ai-helpers/call-graph-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,425 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.02425
Opus 5 $0.00010 $0.01213
Sonnet 5 $0.00004 $0.00485
Haiku 4.5 $0.00002 $0.00243

Measured 3d ago against content hash 153f09a427e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade B, and why

call-graph-analysis scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- `graphviz` (for visualization): `brew install graphviz` (macOS) or `sudo apt-get install graphviz` (Linux)
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/compliance/skills/call-graph-analysis/SKILL.md · 275 lines

How it starts

The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Call Graph Reachability Analysis

Provides highest-confidence vulnerability assessment by proving whether vulnerable functions can actually be reached during program execution.

When to Use This Skill

Use this skill when:

  • You need definitive proof that a vulnerable function is or isn't reachable
  • Medium/high confidence analysis shows possible vulnerability but needs confirmation
  • Generating evidence for security compliance or audit requirements
  • govulncheck is unavailable or didn't find the CVE
  • You need visual proof of execution paths for stakeholders

Prerequisites

Required Tools

  • callgraph: go install golang.org/x/tools/cmd/callgraph@latest
  • digraph: go install golang.org/x/tools/cmd/digraph@latest
  • Go workspace with go.mod file

Optional Tools

  • graphviz (for visualization): brew install graphviz (macOS) or sudo apt-get install graphviz (Linux)
  • sfdp or dot command (part of graphviz)

Input Requirements

  • CVE vulnerable function signature (e.g., <package-path>.<function-name>)
  • Package path from CVE analysis
  • Workspace path to analyze
  • Algorithm preference (optional, default: vta) — passed via --algo from parent command
  • CVE_ID — used to construct the output directory
  • OUT_DIR (optional, default: .work/compliance/analyze-cve/${CVE_ID}) — where artifacts are written

Timeout and Algorithm Convention

  • Use the algorithm specified by the user via --algo (default: vta).
  • All callgraph invocations use timeout 300 (5 minutes) to prevent hanging on large codebases.
  • If the chosen algorithm times out: fall back to the next faster algorithm (vtartacha), then narrow scope to specific packages (e.g., ./cmd/..., ./pkg/...).

Implementation Steps

Step 1: Verify Tools Are Available

# Check for callgraph
which callgraph || echo "callgraph not found - install with: go install golang.org/x/tools/cmd/callgraph@latest"

# Check for digraph
which digraph || echo "digraph not found - install with: go install golang.org/x/tools/cmd/digraph@latest"

# Optional: Check for graphviz
which sfdp || echo "graphviz not found - visual graphs won't be generated (optional)"

Read the full file on GitHub · 275 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 275 lines · 21 tokens per session scan B 153f09a427e4

Subscribe to this mod's changes

call-graph-analysis is a skill published in the GitHub repository openshift-eng/ai-helpers (116 stars, last pushed 2d ago), licensed Apache-2.0. It adds 21 tokens to every session and 2,425 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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