Borrowing it
Nothing to install: this file belongs to EchoingVesper/mcp-task-orchestrator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EchoingVesper/mcp-task-orchestrator/main/.claude/commands/git-operations/smart-resolver.mdgit clone --depth 1 https://github.com/EchoingVesper/mcp-task-orchestratorWrote 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.
[](https://agentmods.dev/commands/echoingvesper/mcp-task-orchestrator/smart-resolver)<a href="https://agentmods.dev/commands/echoingvesper/mcp-task-orchestrator/smart-resolver"><img src="https://agentmods.dev/badge/commands/echoingvesper/mcp-task-orchestrator/smart-resolver/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.
<a href="https://agentmods.dev/commands/echoingvesper/mcp-task-orchestrator/smart-resolver"><img src="https://agentmods.dev/badge/commands/echoingvesper/mcp-task-orchestrator/smart-resolver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00413 |
| Opus 5.5 | $0.00000 | $0.00165 |
| Sonnet 5.5 | $0.00000 | $0.00083 |
| Haiku 4.5 | $0.00000 | $0.00041 |
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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- smart-resolver — 100% identical, 118 lines differ
What it actually says
Perform an intelligent merge conflict resolution with deep understanding of our codebase.
Pre-resolution analysis:
-
Understand what each branch was trying to achieve: git log --oneline origin/main..HEAD git log --oneline HEAD..origin/main
-
Check if there are any related issues or PRs: git log --grep="fix" --grep="feat" --oneline -20
- use the github cli as needed
-
Identify the type of conflicts (feature vs feature, fix vs refactor, etc.)
-
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:
- Run linters to check code style
- Run type checkers if applicable
- Run test suite
- Check for semantic conflicts (code that merges but breaks functionality)
- Verify no debugging code was left in
Final steps:
- Create a detailed summary of all resolutions
- If any resolutions are uncertain, mark them with TODO comments
- Suggest additional testing that might be needed
- Stage all resolved files
Begin by analyzing the current conflict situation with git status and understanding both branches.
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.
- 2mo ago First seen · 60 lines · 0 tokens per session scan A 3635ef17f1bf
smart-resolver is a command published in the GitHub repository EchoingVesper/mcp-task-orchestrator (28 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 413 tokens. 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 2026-08-30.
Other commands, from other repositories
auto-claude
Invoke Auto-Claude autonomous coding framework for complex feature implementation.
git-ops
Git + worktree orchestrator entry point. /git-ops --landall surveys every branch/worktree and batch-lands the ones that are done; bare /git-ops runs a status survey. Thin router over the git-ops skill.
fix-issue
Analyze and fix the GitHub issue: $ARGUMENTS.
branch
Show Claude Code costs per git branch / PR.
merge
You are executing the /hydra:merge command. Merge a worktree branch back into the current branch.
sandbox-promote
Promote an accepted, version-worthy WIP artifact from .credo/sandbox-tmp/ / to .credo/sandbox/ /. is the sandbox-tmp folder name (argument: $1).