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.
npx agentmods add skills/britt/agent-skills/markdown-formattingnpx skills add britt/agent-skills --skill markdown-formattinggit clone --depth 1 https://github.com/britt/agent-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/skills/britt/agent-skills/markdown-formatting)<a href="https://agentmods.dev/skills/britt/agent-skills/markdown-formatting"><img src="https://agentmods.dev/badge/skills/britt/agent-skills/markdown-formatting.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 | $0.00042 | $0.00780 |
| Opus 5 | $0.00021 | $0.00390 |
| Sonnet 5 | $0.00008 | $0.00156 |
| Haiku 4.5 | $0.00004 | $0.00078 |
Grade A, and why
markdown-formatting 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown Formatting Skill
Apply consistent Markdown formatting to all outputs. Structure content for readability and professionalism.
When to Use
Activate when producing:
- PR descriptions and issue bodies
- Documentation and guides
- Notes and summaries
- Structured artifacts that will be saved or published (reports, READMEs, changelogs)
Not for conversational chat replies — normal responses don't need templates or strict formatting rules.
Core Principles
- Lead with the point - TL;DR or summary first, details after
- Use structure - Headings, lists, and whitespace aid scanning
- Be consistent - Same patterns across all outputs
- Respect context - PRs need checklists, docs need examples
Formatting Rules
Document Structure
# Title (standalone documents only)
Brief summary or TL;DR (1-2 sentences)
## Section Heading
Content organized by topic...
Headings
- Use
##for main sections (reserve#for document title) - Use
###sparingly for subsections - Never skip levels (no
##to####)
Lists
- Use
-for unordered lists (not*) - Use
1.for ordered/sequential steps - Nest with 2-space indent
- Keep list items parallel in structure
Code
- Inline: backticks for
commands,filenames,variables - Blocks: triple backticks with language identifier
- Always specify language:
typescript,bash, ```json
Emphasis
- Bold for key terms, warnings, important points
- Italics sparingly for emphasis or introducing terms
- Never combine bold and italics
Links
- Descriptive text:
[installation guide](url)not[click here](url) - Reference issues/PRs with
#123format
Templates
PR Description
## Summary
[One-line description of the change]
## Changes
- [Change 1]
- [Change 2]
## Test Plan
- [ ] [Test case 1]
- [ ] [Test case 2]
Issue Body
## Problem
[What is wrong or missing]
## Steps to Reproduce
1. [Step 1]
2. [Step 2]
## Expected
[What should happen]
## Actual
[What actually happens]
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.
- 4d ago First seen · 140 lines · 42 tokens per session scan A 8c5f427c6ae4
markdown-formatting is a skill published in the GitHub repository britt/agent-skills (5 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 780 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…