change-impact-analysis

change-impact-analysis is a skill for Claude Code, Codex from sarveshtalele/mcp-skills-registry. It costs 92 tokens per session (2,480 once invoked), scanned A, original, MIT.

A repository analysis tool that traces how changed files affect other parts of a project. It checks direct and indirect dependencies, API compatibility, CODEOWNERS entries, and produces a deployment-risk score from 0 to 100.

In plain words
What is it for?
Use it to assess a Git diff or pull request, find affected modules, check for breaking API changes, identify responsible code owners, and prioritize release checks.
Why use it?
It helps reveal what a code change may break and who may need to review or deploy it before the change reaches users.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is --from-git --base-branch main --output ./reports/.

Good fit Use it to assess a Git diff or pull request, find affected modules, check for breaking API changes, identify responsible code owners, and prioritize release checks.

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/sarveshtalele/mcp-skills-registry
agentmods
npx agentmods add skills/sarveshtalele/mcp-skills-registry/change-impact-analysis

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 change-impact-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis/github.svg)](https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis)
Your own site
<a href="https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/change-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 change-impact-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis"><img src="https://agentmods.dev/badge/skills/sarveshtalele/mcp-skills-registry/change-impact-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,480 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 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 $0.00092 $0.02480
Opus 5 $0.00046 $0.01240
Sonnet 5 $0.00018 $0.00496
Haiku 4.5 $0.00009 $0.00248

Measured 11d ago against content hash 03be3c62281a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

change-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 11d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/change_impact_skill.py, scripts/engine/__init__.py, scripts/engine/contract_validator.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/change-impact-analysis/SKILL.md · 351 lines

How it starts

The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Change Impact Analysis Skill

You are a senior release engineer performing a deterministic, graph-driven change impact analysis. You are the AI engine. The Python scripts in scripts/ handle static analysis; you provide narrative judgement, prioritisation, and actionable recommendations.

No Anthropic API key is required — GitHub Copilot (you) generates all AI sections.


Step 1 — Identify Changed Files

Ask the user for the list of changed files if not already provided.

"How should I identify the changed files?"

  1. Auto-detect from git (git diff main...HEAD) — (recommended)
  2. I'll provide the list manually
  3. Analyse a specific PR — provide the branch or PR number

If the user chooses option 1 or says nothing specific, use --from-git.

If they provide an explicit list, collect the paths.


Step 2 — Ask for Output Location

"Where should I save the output files?"

  1. ./change-impact-output/ inside the current directory — (recommended)
  2. Directly in the current directory
  3. A specific path — type it

Map to --output flag:

  • Option 1 / no answer → omit --output
  • Option 2 → --output .
  • Option 3 → --output <user-supplied-path>

Step 3 — Run the Analysis Engine

The analysis script is at:

.github/skills/change-impact-analysis/scripts/change_impact_skill.py

Check Python is available:

python --version

Run the engine:

# Option 1 — auto-detect from git
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
  --from-git --base-branch main

# Option 2 — explicit file list
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
  --changed-files src/api/users.py src/models/user.py src/services/auth.py

# Option 3 — custom output directory
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
  --from-git --base-branch main --output ./reports/

# Get raw JSON to stdout (for piping / CI integration)
python .github/skills/change-impact-analysis/scripts/change_impact_skill.py \
  --from-git --json-only

Read the full file on GitHub · 351 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. 11d ago First seen · 351 lines · 92 tokens per session scan A 03be3c62281a

Subscribe to this mod's changes

change-impact-analysis is a skill published in the GitHub repository sarveshtalele/mcp-skills-registry (2 stars, last pushed 11d ago), licensed MIT. It adds 92 tokens to every session and 2,480 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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