smart-resolver

A command for investigating and resolving Git merge conflicts by examining the intent, history, tests, configuration, and documentation behind each branch.

In plain words
What is it for?
Handling conflicts in source code, tests, configuration files, CI jobs, dependencies, environment examples, and documentation.
Why use it?
It helps preserve both sides’ useful changes and reduces the risk of accepting a conflict resolution that breaks behavior or omits related updates.

Command for Claude Code

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.

agentmods
npx agentmods add commands/mort-lab/excel-mcp/smart-resolver
Clone the repo
git clone --depth 1 https://github.com/mort-lab/excel-mcp

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 412 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00412
Opus 5 $0.00000 $0.00206
Sonnet 5 $0.00000 $0.00082
Haiku 4.5 $0.00000 $0.00041

Measured 2d ago against content hash 739ee4c5d83c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

smart-resolver 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 2d 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 smart-resolver — 118 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/commands/git-operations/smart-resolver.md · 60 lines

What it actually says

Perform an intelligent merge conflict resolution with deep understanding of our codebase.

Pre-resolution analysis:

  1. Understand what each branch was trying to achieve: git log --oneline origin/main..HEAD git log --oneline HEAD..origin/main

  2. Check if there are any related issues or PRs: git log --grep="fix" --grep="feat" --oneline -20

  • use the github cli as needed
  1. Identify the type of conflicts (feature vs feature, fix vs refactor, etc.)

  2. Think hard about your findings and plan accordingly

Resolution strategy:

For different file types:

Source code conflicts (.js, .ts, .py, etc.):

  • Understand the business logic of both changes
  • Merge both features if they're complementary
  • If conflicting, check which has better test coverage
  • Look for related files that might need updates

Test file conflicts:

  • Usually merge both sets of tests
  • Ensure no duplicate test names
  • Update test descriptions if needed

Configuration files:

  • package.json: Merge dependencies, scripts
  • .env.example: Include all new variables
  • CI/CD configs: Merge all jobs unless duplicate

Documentation conflicts:

  • Merge both documentation updates
  • Ensure consistency in terminology
  • Update table of contents if needed

Lock files (package-lock.json, poetry.lock):

  • Delete and regenerate after resolving package.json/pyproject.toml

Post-resolution verification:

  1. Run linters to check code style
  2. Run type checkers if applicable
  3. Run test suite
  4. Check for semantic conflicts (code that merges but breaks functionality)
  5. Verify no debugging code was left in

Final steps:

  1. Create a detailed summary of all resolutions
  2. If any resolutions are uncertain, mark them with TODO comments
  3. Suggest additional testing that might be needed
  4. Stage all resolved files

Begin by analyzing the current conflict situation with git status and understanding both branches.

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. 2d ago First seen · 60 lines · 0 tokens per session scan A 739ee4c5d83c

Subscribe to this mod's changes

smart-resolver is a command published in the GitHub repository mort-lab/excel-mcp (5 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 412 tokens. A static security scan graded it A with 0 findings. It is 100% identical to smart-resolver, differing in 118 lines, and is treated as a copy.