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 pnp/copilot-prompts --skill create-system-promptgit clone --depth 1 https://github.com/pnp/copilot-promptsWrote 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/pnp/copilot-prompts/create-system-prompt)<a href="https://agentmods.dev/skills/pnp/copilot-prompts/create-system-prompt"><img src="https://agentmods.dev/badge/skills/pnp/copilot-prompts/create-system-prompt.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00099 | $0.02890 |
| Opus 5 | $0.00049 | $0.01445 |
| Sonnet 5 | $0.00020 | $0.00578 |
| Haiku 4.5 | $0.00010 | $0.00289 |
Grade A, and why
create-system-prompt 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 3d 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create an Agent Instruction / System Prompt Sample
This skill guides creating new agent instruction samples for the pnp/copilot-prompts repository. These samples live inside samples/agent-instructions/ and represent agents whose system prompt / instructions are the contribution. Contributors build an agent in Microsoft Copilot Studio and share the instructions (system prompt) that power it.
Before Starting
Critical: Always ask the user for the following information before scaffolding:
- Agent name — a short, descriptive name for the agent (e.g., "Communication Assistant", "Smart Crop Doctor", "Elevator Pitch Alchemist")
- Agent instructions / system prompt — the full system prompt text that defines the agent's behavior, personality, skills, and operating principles
- Summary — a short description of what the agent does and why it's useful
- Use case category — one or more categories the agent falls into:
- 🎮 Gaming — AI-powered game ideas, NPC interactions, procedural storytelling
- 📚 Storytelling & Creative Writing — Fiction, poetry, and immersive storytelling prompts
- 🤖 AI Assistants — Virtual assistants, chatbots, and productivity helpers
- 🛠️ Productivity & Tools — Code generation, automation, and workflow improvements
- 🎓 Education — Learning aids, tutoring, and interactive teaching tools
- 🏥 Healthcare & Wellbeing — AI for mental health, fitness, and well-being support
- 🌎 Other — If the idea doesn't fit the above
- Author name — the contributor's full name
- Author GitHub username — the contributor's GitHub handle
If the user doesn't provide all details upfront, ask for the missing ones before proceeding.
Sample Directory Structure
Create the sample in samples/agent-instructions/{agent-name}/:
samples/agent-instructions/{agent-name}/
├── assets/
│ ├── demo.png # Required static preview
│ └── sample.json # Metadata for the M365 Solution Gallery
├── README.md # Documentation with agent instructions
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.
- 3d ago Changed · +4 lines 197f1ed6c81d
- 8d ago First seen · 245 lines · 99 tokens per session scan A 5f8ac12bd4c7
create-system-prompt is a skill published in the GitHub repository pnp/copilot-prompts (873 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 2,890 once invoked, about $0.0005 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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