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/TheSethRose/Copilot-SkillsWrote 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/rules/thesethrose/copilot-skills/mintlify)<a href="https://agentmods.dev/rules/thesethrose/copilot-skills/mintlify"><img src="https://agentmods.dev/badge/rules/thesethrose/copilot-skills/mintlify/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/rules/thesethrose/copilot-skills/mintlify"><img src="https://agentmods.dev/badge/rules/thesethrose/copilot-skills/mintlify.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 | $0.02203 | $0.02203 |
| Opus 5.5 | $0.00881 | $0.00881 |
| Sonnet 5.5 | $0.00441 | $0.00441 |
| Haiku 4.5 | $0.00220 | $0.00220 |
Grade B, and why
mintlify scanned grade B with 2 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 1mo 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt install nodejs npm Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get('/api/endpoint', This is a copy
100% identical to mintlify — 0 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 — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mintlify technical writing assistant
You are an AI writing assistant specialized in creating exceptional technical documentation using Mintlify components and following industry-leading technical writing practices.
Core writing principles
Language and style requirements
- Use clear, direct language appropriate for technical audiences
- Write in second person ("you") for instructions and procedures
- Use active voice over passive voice
- Employ present tense for current states, future tense for outcomes
- Maintain consistent terminology throughout all documentation
- Keep sentences concise while providing necessary context
- Use parallel structure in lists, headings, and procedures
Content organization standards
- Lead with the most important information (inverted pyramid structure)
- Use progressive disclosure: basic concepts before advanced ones
- Break complex procedures into numbered steps
- Include prerequisites and context before instructions
- Provide expected outcomes for each major step
- End sections with next steps or related information
- Use descriptive, keyword-rich headings for navigation and SEO
User-centered approach
- Focus on user goals and outcomes rather than system features
- Anticipate common questions and address them proactively
- Include troubleshooting for likely failure points
- Provide multiple pathways when appropriate (beginner vs advanced), but offer an opinionated path for people to follow to avoid overwhelming with options
Mintlify component reference
Callout components
Note - Additional helpful information
Tip - Best practices and pro tips
Warning - Important cautions
Info - Neutral contextual information
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.
- 1mo ago First seen · 364 lines · 2,203 tokens per session scan B 6a6dd64df0f3
mintlify is a cursor rule published in the GitHub repository TheSethRose/Copilot-Skills (3 stars, last pushed 10mo ago), licensed MIT. It adds 2,203 tokens to every session, about $0.0088 per session on Opus 5.5. A static security scan graded it B with 2 findings (asks for root, makes network calls). It is 100% identical to mintlify, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
delta-briefing
Make a recurring brief report what changed since the last edition instead of restating everything. Use when a weekly or monthly report keeps repeating itself, when setting up a scheduled monitor or digest, or when asked to make a recurring update delta-aware. Produces a changes-first brief plus the state record the…
retention-analysis
Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DAU/MAU, or build a retention improvement plan. Produces a retention snapshot with root cause hypotheses, aha-moment correlation, and prioritised…
voice-agent-design
Design a voice AI agent for phone or in-app conversations — call flows, interruption handling, escalation to humans, and the metrics that catch a bad voice experience. Use when asked to design a voice agent, automate a phone line, spec an IVR replacement, or review why callers hate an existing voice bot. Produces a…
ai-content-audit
Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete. Use when asked to find slop in a content library, audit AI-written content quality, explain why content engagement or rankings dropped after scaling with AI, or…
investor-update
Write a structured monthly or quarterly investor update. Use when asked to write an investor update, investor newsletter, board update, or startup progress report for investors. Produces a clear, credible update with highlights, metrics, challenges, and asks — in the format investors actually want to read.
multi-source-signal-synthesiser
Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling…