Borrowing it
Nothing to install: this file belongs to zarfld/presonus-studiolive-mcp. 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/zarfld/presonus-studiolive-mcp/master/.github/prompts/lint.prompt.mdgit clone --depth 1 https://github.com/zarfld/presonus-studiolive-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/zarfld/presonus-studiolive-mcp/lint)<a href="https://agentmods.dev/commands/zarfld/presonus-studiolive-mcp/lint"><img src="https://agentmods.dev/badge/commands/zarfld/presonus-studiolive-mcp/lint/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/zarfld/presonus-studiolive-mcp/lint"><img src="https://agentmods.dev/badge/commands/zarfld/presonus-studiolive-mcp/lint.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 | $0.02081 |
| Opus 5 | $0.00000 | $0.01040 |
| Sonnet 5 | $0.00000 | $0.00416 |
| Haiku 4.5 | $0.00000 | $0.00208 |
Grade A, and why
lint 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Specification Linting and Optimization
⚠️ NOTE: This template now uses GitHub Issues as the single source of truth for requirements, architecture, and tests. This prompt can still be used to lint supplementary documentation files, but the primary artifacts are now GitHub Issue bodies.
Primary Use: Lint GitHub Issue bodies and supplementary markdown documentation Deprecated Use:
Linting file-based specification files as primary artifactsFor GitHub Issues workflow, see:
- Root instructions:
.github/copilot-instructions.md(Issue-Driven Development section)- Phase instructions:
.github/instructions/phase-NN-*.instructions.md
Optimize GitHub Issue bodies and supplementary documentation for clarity, conciseness, and AI coding agent comprehension.
Objectives
- Clarity: Make issue bodies and documentation unambiguous and easy to understand
- Conciseness: Remove redundancy while preserving all important details
- Consistency: Standardize terminology and structure across issues and docs
- AI-Friendliness: Optimize for GitHub Copilot and other AI coding agents
- Traceability: Ensure supplementary docs reference canonical GitHub Issues via
#Nsyntax
Linting Rules
1. Language as Programming Language
Treat English/Markdown as a programming language:
- Use consistent terminology (avoid synonyms)
- Example: Choose ONE term and stick to it
- ❌ pull/get/fetch/retrieve
- ✅ pull (consistently)
- Define terms once, reference thereafter
- Use precise, technical language
2. Remove Duplication
- Eliminate repeated content
- Use references instead of copying
- ✅ "See User Authentication"
- ❌ Repeating entire authentication section
- Consolidate similar requirements
- Extract common patterns to shared sections
3. Minimize Synonyms
Standardize vocabulary across the specification:
Common Synonym Groups (pick ONE per project):
- obtain/get/retrieve/fetch → get
- remove/delete/erase → delete
- create/make/generate/build → create
- update/modify/change/edit → update
- validate/verify/check → validate
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.
- yesterday First seen · 350 lines · 0 tokens per session scan A c7dc0b7e6b88
lint is a command published in the GitHub repository zarfld/presonus-studiolive-mcp (1 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,081 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 2026-09-08.
Other commands, from other repositories
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.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.