Borrowing it
Nothing to install: this file belongs to Cogni-AI-OU/vastai-host-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/Cogni-AI-OU/vastai-host-mcp/main/.github/skills/skill-writer/SKILL.mdgit clone --depth 1 https://github.com/Cogni-AI-OU/vastai-host-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/skills/cogni-ai-ou/vastai-host-mcp/skill-writer)<a href="https://agentmods.dev/skills/cogni-ai-ou/vastai-host-mcp/skill-writer"><img src="https://agentmods.dev/badge/skills/cogni-ai-ou/vastai-host-mcp/skill-writer/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/skills/cogni-ai-ou/vastai-host-mcp/skill-writer"><img src="https://agentmods.dev/badge/skills/cogni-ai-ou/vastai-host-mcp/skill-writer.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 | $0.01010 |
| Opus 5.5 | $0.00000 | $0.00404 |
| Sonnet 5.5 | $0.00000 | $0.00202 |
| Haiku 4.5 | $0.00000 | $0.00101 |
Grade A, and why
skill-writer 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 2mo 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: skill-writer description: >- When the user requests to create, update, or refine a GitHub Copilot skill, generate or revise a complete SKILL.md file that strictly adheres to the official format, validation rules, and community best practices.
Skill Writer
Generate or update SKILL.md files for GitHub Copilot coding agents, ensuring precise activation, concise expert-level guidance, and full compliance with repository standards.
When to Activate
- User explicitly asks to create or update a skill for a specific issue, topic or task.
- User requests to update, improve, or refactor an existing SKILL.md.
- User provides new rules, examples, or feedback intended to guide skill authoring.
- Capture Agent Insights: When the agent struggles with a recurring task, encounters repeated failures, or discovers an effective new solution/workaround not already documented, update the relevant existing skill (or create a new one) to incorporate the insight, ensuring future activations handle the case more efficiently.
Core Process
-
Infer a unique, descriptive
namein lowercase-hyphenated format that will exactly match the intended folder name. -
Write a single, highly precise
descriptionsentence that captures exact activation triggers without overlap. -
Validate that the YAML frontmatter follows all repository-defined schema, linting, and validation rules (e.g., required fields, no extra keys, correct formatting).
-
Structure the file exactly as:
- First line:
<!-- markdownlint-disable MD003 MD022 MD026 MD041 --> - YAML frontmatter block
- Pure Markdown body with minimal, value-adding sections only
- First line:
-
Write dense, imperative, expert-level instructions assuming ninja proficiency; skip basics, favor one-liners, pack maximum depth.
-
Design for fully autonomous agent execution: include self-contained loops, error recovery, verification steps; avoid any user confirmation except safety-critical cases.
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.
- 2mo ago First seen · 108 lines · 0 tokens per session scan A 03ea443a0655
skill-writer is a skill published in the GitHub repository Cogni-AI-OU/vastai-host-mcp (0 stars, last pushed 29d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,010 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 2026-08-31.
skill-writer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-writerCogni-AI-OU/vastai-host-mcp | Skill | 0 | 29d ago | MIT | A | 0 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |