mq is a command-line tool for querying and transforming Markdown with syntax modeled on jq, a utility commonly used for processing JSON. It helps developers extract sections, reshape documentation, analyze content, and prepare Markdown for language-model workflows. Its catalogue add-ons support using mq through coding-agent instructions and skills.
Borrowing it
Nothing to install: this file belongs to harehare/mq. 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/harehare/mq/main/.github/prompts/fix-input.mdgit clone --depth 1 https://github.com/harehare/mqWrote 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/harehare/mq/fix-input)<a href="https://agentmods.dev/commands/harehare/mq/fix-input"><img src="https://agentmods.dev/badge/commands/harehare/mq/fix-input.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00215 |
| Opus 5 | $0.00005 | $0.00108 |
| Sonnet 5 | $0.00002 | $0.00043 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
fix-input 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 today.
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.
What it actually says
Fix Input (for Copilot)
Analyzes and fixes content or code provided as input, such as code snippets, configuration files, or documentation.
Usage
- If arguments contain code snippets, analyze and fix errors
- If arguments contain file content, resolve issues
- If arguments contain configuration, validate and correct settings
- If arguments contain documentation, improve clarity and accuracy
- Supports multiple inputs or descriptions
What it does
- Analyzes provided input content
- Identifies syntax errors, logic issues, or improvements
- Fixes content following mq conventions and best practices
- Ensures Rust code uses miette for error handling
- Validates configuration against project standards
- Improves documentation clarity and accuracy
Example
/fix-input "fn parse_markdown(input: &str) -> Result { panic!("not implemented") }" /fix-input "Invalid TOML configuration in Cargo.toml" /fix-input "README.md section needs better examples"
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.
- today First seen · 31 lines · 11 tokens per session scan A e7f77ba796f3
fix-input is a command published in the GitHub repository harehare/mq (1,027 stars, last pushed today), licensed MIT. It adds 11 tokens to every session and 215 once invoked, about $0.0001 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 2026-09-06.
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