gemini-mem-v3: Skill for Claude Code

.claude/skills/gitnexus/gitnexus-impact-analysis/SKILL.md

gitnexus-impact-analysis is a skill for Claude Code from JHdehao/gemini-mem-v3. It costs 50 tokens per session (784 once invoked), scanned A, a copy of gitnexus-impact-analysis, MIT.

A skill for estimating the effects of changing a piece of code by examining its dependents and execution flows. GitNexus, the underlying code-mapping tool, groups direct and indirect relationships by depth and confidence.

In plain words
What is it for?
Assessing whether a function or component is safe to change, finding what depends on it, and reporting possible breakage risks.
Why use it?
It shows the likely blast radius before an edit or commit, so you can identify direct callers and other affected parts of the system. It also checks whether current changes affect known workflows.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is JHdehao/gemini-mem-v3's own configuration. It tells Claude Code how to work on gemini-mem-v3 itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gemini-mem-v3 configures →

Reuse

Borrowing it

Nothing to install: this file belongs to JHdehao/gemini-mem-v3. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/JHdehao/gemini-mem-v3/main/.claude/skills/gitnexus/gitnexus-impact-analysis/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/JHdehao/gemini-mem-v3

Made for: Claude Code.

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 gitnexus-impact-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/jhdehao/gemini-mem-v3/gitnexus-impact-analysis/github.svg)](https://agentmods.dev/skills/jhdehao/gemini-mem-v3/gitnexus-impact-analysis)
Your own site
<a href="https://agentmods.dev/skills/jhdehao/gemini-mem-v3/gitnexus-impact-analysis"><img src="https://agentmods.dev/badge/skills/jhdehao/gemini-mem-v3/gitnexus-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 gitnexus-impact-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/jhdehao/gemini-mem-v3/gitnexus-impact-analysis"><img src="https://agentmods.dev/badge/skills/jhdehao/gemini-mem-v3/gitnexus-impact-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 784 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 89% 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 $0.00050 $0.00784
Opus 5 $0.00025 $0.00392
Sonnet 5 $0.00010 $0.00157
Haiku 4.5 $0.00005 $0.00078

Measured 9d ago against content hash a4d6e8003c4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gitnexus-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 9d 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

89% identical to gitnexus-impact-analysis — 20 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.

.claude/skills/gitnexus/gitnexus-impact-analysis/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Impact Analysis with GitNexus

When to Use

  • "Is it safe to change this function?"
  • "What will break if I modify X?"
  • "Show me the blast radius"
  • "Who uses this code?"
  • Before making non-trivial code changes
  • Before committing — to understand what your changes affect

Workflow

1. gitnexus_impact({target: "X", direction: "upstream"})  → What depends on this
2. READ gitnexus://repo/{name}/processes                   → Check affected execution flows
3. gitnexus_detect_changes()                               → Map current git changes to affected flows
4. Assess risk and report to user

If "Index is stale" → run npx gitnexus analyze in terminal.

Checklist

- [ ] gitnexus_impact({target, direction: "upstream"}) to find dependents
- [ ] Review d=1 items first (these WILL BREAK)
- [ ] Check high-confidence (>0.8) dependencies
- [ ] READ processes to check affected execution flows
- [ ] gitnexus_detect_changes() for pre-commit check
- [ ] Assess risk level and report to user

Understanding Output

Depth Risk Level Meaning
d=1 WILL BREAK Direct callers/importers
d=2 LIKELY AFFECTED Indirect dependencies
d=3 MAY NEED TESTING Transitive effects

Risk Assessment

Affected Risk
<5 symbols, few processes LOW
5-15 symbols, 2-5 processes MEDIUM
>15 symbols or many processes HIGH
Critical path (auth, payments) CRITICAL

Tools

gitnexus_impact — the primary tool for symbol blast radius:

gitnexus_impact({
  target: "validateUser",
  direction: "upstream",
  minConfidence: 0.8,
  maxDepth: 3
})

→ d=1 (WILL BREAK):
  - loginHandler (src/auth/login.ts:42) [CALLS, 100%]
  - apiMiddleware (src/api/middleware.ts:15) [CALLS, 100%]

→ d=2 (LIKELY AFFECTED):
  - authRouter (src/routes/auth.ts:22) [CALLS, 95%]

Read the full file on GitHub · 98 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. 9d ago First seen · 98 lines · 50 tokens per session scan A a4d6e8003c4a

Subscribe to this mod's changes

gitnexus-impact-analysis is a skill published in the GitHub repository JHdehao/gemini-mem-v3 (1 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 784 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to gitnexus-impact-analysis, differing in 20 lines, and is treated as a copy.

Related

Other skills, from other repositories

potpie-cli

Use when the task is centered on running, explaining, configuring, or troubleshooting the potpie command: doctor, login, pot management, source registration, search, graph workbench reads/writes, and pot scope behavior.

potpie-ai/potpie · 50 tokens

potpie-debug-memory

Use while debugging or troubleshooting failures, flaky tests, incidents, production alerts, CI failures, local dev setup issues, repeated bugs, prior fixes, failed attempts, and verification history.

potpie-ai/potpie · 41 tokens

gcloud-usage

This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".

fcakyon/claude-codex-settings · 49 tokens

mongodb-query-optimizer

Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query…

fcakyon/claude-codex-settings · 98 tokens

spk-admin-setup-doctor

Install, verify, and repair Spec Kitty commands, skills, agent paths, runtime prerequisites, and common setup failures.

Priivacy-ai/spec-kitty · 31 tokens

superlint

This skill describes the mandatory standard operating procedure for using our internal SuperLint tool. Use this when tasks require fixing code quality issues according to corporate standards.

mgechev/skillgrade · 0 tokens