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 skills add jaktestowac/awesome-copilot-for-testers --skill creating-promptsgit clone --depth 1 https://github.com/jaktestowac/awesome-copilot-for-testersWrote 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/jaktestowac/awesome-copilot-for-testers/creating-prompts)<a href="https://agentmods.dev/skills/jaktestowac/awesome-copilot-for-testers/creating-prompts"><img src="https://agentmods.dev/badge/skills/jaktestowac/awesome-copilot-for-testers/creating-prompts/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/jaktestowac/awesome-copilot-for-testers/creating-prompts"><img src="https://agentmods.dev/badge/skills/jaktestowac/awesome-copilot-for-testers/creating-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.01027 |
| Opus 5 | $0.00026 | $0.00513 |
| Sonnet 5 | $0.00010 | $0.00205 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
creating-prompts 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 12d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Copilot Prompt Files
Use this skill when a task deserves a reusable entrypoint instead of the user re-explaining the same workflow every time. It helps create prompt files that are specific, easy to invoke, and well-matched to the agent or workflow behind them.
When to Use
Use this skill when the user asks for things like:
- "create a prompt file for this workflow"
- "turn this repeated request into a
.prompt.md" - "route this task to the right agent with guided input"
- "fix a prompt that is too vague or too generic"
- "add a reusable prompt example for the team"
Typical scenarios:
- creating a focused slash-command entrypoint
- standardizing a frequent analysis or generation workflow
- capturing required inputs and outputs for a specialized task
- improving prompt usability for a repository or public collection
Outcome Standard
A strong prompt contribution usually includes:
- a single clear job
- the right target agent and model when appropriate
- explicit inputs, workflow steps, and output expectations
- minimal overlap with agent identity or repository instructions
- one install-ready prompt file plus reference material
Prompt Design Rules
- Workflow starter, not persona - let the agent define behavior; let the prompt define the task.
- One job per prompt - split prompts that try to launch multiple unrelated workflows.
- Be explicit about inputs - state what the user or workspace must provide.
- Define the finish line - describe the expected deliverable or completion state.
- Stay reusable - avoid baking in one-off context that belongs in the user's actual message.
Workflow
Phase 0: Decide whether a prompt is the right primitive
Use a prompt when users need a reusable task starter. If the real need is a standing expert role, create an agent. If the real need is reusable procedural knowledge, create a skill. If the real need is always-on repository rules, create instructions.
Phase 1: Frame the prompt contract
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 132 lines · 52 tokens per session scan A f67203fb027d
creating-prompts is a skill published in the GitHub repository jaktestowac/awesome-copilot-for-testers (113 stars, last pushed 16d ago), licensed MIT. It adds 52 tokens to every session and 1,027 once invoked, about $0.0003 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 2026-08-30.
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