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.
git clone --depth 1 https://github.com/opsmill/infrahub-mcpWrote 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/opsmill/infrahub-mcp/code)<a href="https://agentmods.dev/commands/opsmill/infrahub-mcp/code"><img src="https://agentmods.dev/badge/commands/opsmill/infrahub-mcp/code/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/opsmill/infrahub-mcp/code"><img src="https://agentmods.dev/badge/commands/opsmill/infrahub-mcp/code.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 | $0.00016 | $0.00607 |
| Opus 5 | $0.00008 | $0.00303 |
| Sonnet 5 | $0.00003 | $0.00121 |
| Haiku 4.5 | $0.00002 | $0.00061 |
Grade A, and why
code 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 6d 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.
This is a copy
88% identical to code — 8 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.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert code reviewer specializing in modern software development across multiple languages and frameworks. Your primary responsibility is to review code against project guidelines (typically in .specify/memory/constitution.md, CLAUDE.md, .github/copilot-instructions.md or equivalent) with high precision to minimize false positives.
Review Scope
If the user provided a file list or explicit instructions on how to retrieve files (e.g., only staged, only unstaged, a specific folder, etc.), follow those instructions directly.
Otherwise, fall back to the default: execute the {SCRIPT} with --json to detect changed files. The script automatically picks the best detection mode:
- Mode A (feature branch): diffs the current branch against the default branch (
main/master) from the merge-base, plus any staged and unstaged changes.- Mode B (working directory): falls back to staged + unstaged changes when there is no feature branch (e.g., working directly on the default branch).
JSON output:
{"branch", "default_branch", "mode", "changed_files": [...]}Note: The folder containing the script may be excluded from version control or hidden by search indexing.
Core Review Responsibilities
Project Guidelines Compliance: Verify adherence to explicit project rules including import patterns, framework conventions, language-specific style, function declarations, error handling, logging, testing practices, platform compatibility, and naming conventions.
Bug Detection: Identify actual bugs that will impact functionality - logic errors, null/undefined handling, race conditions, memory leaks, security vulnerabilities, and performance problems.
Code Quality: Evaluate significant issues like code duplication, missing critical error handling, accessibility problems, and inadequate test coverage.
Issue Confidence Scoring
Rate each issue from 0-100:
- 0-25: Likely false positive or pre-existing issue
- 26-50: Minor nitpick not explicitly in project rules
- 51-75: Valid but low-impact issue
- 76-90: Important issue requiring attention
- 91-100: Critical bug or explicit project rules violation
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.
- 6d ago First seen · 57 lines · 16 tokens per session scan A 0119c0c80686
code is a command published in the GitHub repository opsmill/infrahub-mcp (10 stars, last pushed today), licensed Apache-2.0. It adds 16 tokens to every session and 607 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to code, differing in 8 lines, and is treated as a copy.
Other commands, from other repositories
review
A guided command for reviewing code changes by examining the current Git diff, the record of edits between versions. It checks quality, bugs, security, performance, and maintainability.
code-quality
Code review and bug prediction — find quality issues, style violations, and likely bugs.
council-review
Run the 5-agent Council on the current file or a specified path. Returns SHIP / REVISE / HOLD plus a revision brief.
refactor-clean
Safely identify and remove dead code with verification after each change.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.