Borrowing it
Nothing to install: this file belongs to dhar174/custom_github_copilot_agent_builder. 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/dhar174/custom_github_copilot_agent_builder/main/.github/skills/make-skill-template/SKILL.mdgit clone --depth 1 https://github.com/dhar174/custom_github_copilot_agent_builderWrote 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/dhar174/custom_github_copilot_agent_builder/make-skill-template)<a href="https://agentmods.dev/skills/dhar174/custom_github_copilot_agent_builder/make-skill-template"><img src="https://agentmods.dev/badge/skills/dhar174/custom_github_copilot_agent_builder/make-skill-template/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/dhar174/custom_github_copilot_agent_builder/make-skill-template"><img src="https://agentmods.dev/badge/skills/dhar174/custom_github_copilot_agent_builder/make-skill-template.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 | $0.00075 | $0.01227 |
| Opus 5.5 | $0.00030 | $0.00491 |
| Sonnet 5.5 | $0.00015 | $0.00245 |
| Haiku 4.5 | $0.00007 | $0.00123 |
Grade A, and why
make-skill-template 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 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.
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.
This is a copy
100% identical to make-skill-template — 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Make Skill Template
A meta-skill for creating new Agent Skills. Use this skill when you need to scaffold a new skill folder, generate a SKILL.md file, or help users understand the Agent Skills specification.
When to Use This Skill
- User asks to "create a skill", "make a new skill", or "scaffold a skill"
- User wants to add a specialized capability to their GitHub Copilot setup
- User needs help structuring a skill with bundled resources
- User wants to duplicate this template as a starting point
Prerequisites
- Understanding of what the skill should accomplish
- A clear, keyword-rich description of capabilities and triggers
- Knowledge of any bundled resources needed (scripts, references, assets, templates)
Creating a New Skill
Step 1: Create the Skill Directory
Create a new folder with a lowercase, hyphenated name:
skills/<skill-name>/
└── SKILL.md # Required
Step 2: Generate SKILL.md with Frontmatter
Every skill requires YAML frontmatter with name and description:
---
name: <skill-name>
description: '<What it does>. Use when <specific triggers, scenarios, keywords users might say>.'
---
Frontmatter Field Requirements
| Field | Required | Constraints |
|---|---|---|
name |
Yes | 1-64 chars, lowercase letters/numbers/hyphens only, must match folder name |
description |
Yes | 1-1024 chars, must describe WHAT it does AND WHEN to use it |
license |
No | License name or reference to bundled LICENSE.txt |
compatibility |
No | 1-500 chars, environment requirements if needed |
metadata |
No | Key-value pairs for additional properties |
allowed-tools |
No | Space-delimited list of pre-approved tools (experimental) |
Description Best Practices
CRITICAL: The description is the PRIMARY mechanism for automatic skill discovery. Include:
- WHAT the skill does (capabilities)
- WHEN to use it (triggers, scenarios, file types)
- Keywords users might mention in prompts
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 · 148 lines · 75 tokens per session scan A 8f2d681b7cda
make-skill-template is a skill published in the GitHub repository dhar174/custom_github_copilot_agent_builder (7 stars, last pushed 8mo ago), licensed MIT. It adds 75 tokens to every session and 1,227 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to make-skill-template, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…