call-graph-analysis

call-graph-analysis is a skill for Claude Code from openshift-eng/ai-helpers. It costs 21 tokens per session (3,268 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.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is # TARGET_PKG is the specific main package (e.g. ./cmd/controller, .).

Part of the compliance plugin — 9 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

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

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

Made for: Claude Code.

Or install compliance, the plugin that ships this one along with the rest of its 9 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/github.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/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for call-graph-analysis

Your own site · 80×15
<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="Reviewed on agentmods" width="80" 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 3,268 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Privilege Escalation · line 27
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
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 $0.03268
Opus 5.5 $0.00008 $0.01307
Sonnet 5.5 $0.00004 $0.00654
Haiku 4.5 $0.00002 $0.00327

Measured 23d ago against content hash 061c2566e267, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 23d 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 · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 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: ${AI_HELPERS_WORKSPACE:-.}/.work/compliance/analyze-cve/${CVE_ID}) — where artifacts are written; same workspace base as Phase 0.7's REPOS_BASE

Critical Rules

  1. Always use timeout -k 10 — plain timeout sends SIGTERM but callgraph can ignore it when stuck in SSA construction or type resolution. -k 10 sends SIGKILL after 10s grace, guaranteeing termination.
  2. Never run callgraph on ./... for repos with more than ~50 packages. Target specific main packages (e.g. ./cmd/controller, ./main.go) and let the tool pull in transitive deps automatically.
  3. Always redirect output to a file (> file 2>&1). Never pipe callgraph output to another command — if the reader closes, callgraph can hang on SIGPIPE.

Read the full file on GitHub · 330 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. 23d ago Changed 061c2566e267
  2. 1mo ago Changed · +55 lines 0f24b9e8b54a
  3. 1mo 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 (121 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 3,268 once invoked, about $0.0001 per session on Opus 5.5. 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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