Codebase Impact Analysis

Codebase Impact Analysis is a skill for Claude Code, Codex from wangke19/gemini-ai-helpers. It costs 30 tokens per session (1,775 once invoked), scanned A, a copy of codebase-impact-analysis, Apache-2.0.

A Go code analysis workflow that checks whether a codebase is affected by a specific CVE, a public identifier for a known software security flaw, and assigns a risk level.

In plain words
What is it for?
Use it to assess Go projects for CVE impact, collect supporting evidence, and estimate risk.
Why use it?
It connects vulnerability details to the actual dependencies and code paths in a project.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess Go projects for CVE impact, collect supporting evidence, and estimate risk.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wangke19/gemini-ai-helpers/codebase-impact-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 wangke19/gemini-ai-helpers --skill codebase-impact-analysis
Clone the repo
git clone --depth 1 https://github.com/wangke19/gemini-ai-helpers

Made for: Claude Code, Codex.

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 Codebase Impact Analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/codebase-impact-analysis/github.svg)](https://agentmods.dev/skills/wangke19/gemini-ai-helpers/codebase-impact-analysis)
Your own site
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/codebase-impact-analysis"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/codebase-impact-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 Codebase Impact Analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/codebase-impact-analysis"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/codebase-impact-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,775 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00030 $0.01775
Opus 5.5 $0.00012 $0.00710
Sonnet 5.5 $0.00006 $0.00355
Haiku 4.5 $0.00003 $0.00178

Measured 1mo ago against content hash 182156df016d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Codebase Impact Analysis scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to codebase-impact-analysis — 208 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

extensions/compliance/skills/codebase-impact-analysis/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codebase Impact Analysis

Determines whether a Go codebase is impacted by a specific CVE by applying multiple analysis methods with increasing confidence, collecting evidence, and assigning a risk level.

When to Use This Skill

Use this skill when:

  • A CVE profile has been gathered (from the cve-intelligence-gathering skill)
  • You need to determine if the current Go project is affected
  • You need to assign a risk level with supporting evidence

Prerequisites

Required Tools (validated in Phase 0 of parent command)

  • go toolchain with go.mod in workspace root
  • govulncheck: go install golang.org/x/vuln/cmd/govulncheck@latest
  • callgraph: go install golang.org/x/tools/cmd/callgraph@latest
  • digraph: go install golang.org/x/tools/cmd/digraph@latest

Required Inputs

From Phase 1 (CVE Intelligence Gathering skill):

  • CVE ID
  • Affected package/module name(s)
  • Vulnerable version range
  • Fixed version (if available)
  • Vulnerable function signatures (if known)

From Parent Command:

  • --algo preference for call graph analysis (default: vta)

Implementation Steps

Step 1: Identify Go Module Dependencies

# Parse dependencies from go.mod
go list -m all

# Get detailed dependency info
go list -m -json all
  • Read go.mod from workspace root
  • Parse direct and indirect dependencies
  • Extract module versions

Step 2: Cross-Reference Vulnerable Packages

Apply the following methods in order. Each provides increasing confidence.

Method 1: Dependency Matching
  • Compare CVE-affected packages with go.mod dependencies
  • Check if affected package versions are in use
  • Account for version ranges and semantic versioning
# Check if vulnerable package is a dependency
go list -m <vulnerable-package>

Decision Point:

  • IF package NOT in dependencies → Skip to risk assignment (likely LOW RISK)
  • IF package found → Continue to Method 2
Method 2: Go Vulnerability Scanner
# Run official Go vulnerability scanner
govulncheck ./...

Read the full file on GitHub · 221 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. 1mo ago First seen · 221 lines · 30 tokens per session scan A 182156df016d

Subscribe to this mod's changes

Codebase Impact Analysis is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,775 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to codebase-impact-analysis, differing in 208 lines, and is treated as a copy.

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