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 skillmds/skillmd --skill github-copilot-prompt-filesgit clone --depth 1 https://github.com/skillmds/skillmdWrote 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/skillmds/skillmd/github-copilot-prompt-files)<a href="https://agentmods.dev/skills/skillmds/skillmd/github-copilot-prompt-files"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/github-copilot-prompt-files/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/skillmds/skillmd/github-copilot-prompt-files"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/github-copilot-prompt-files.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 | $0.00074 | $0.00477 |
| Opus 5.5 | $0.00030 | $0.00191 |
| Sonnet 5 | $0.00015 | $0.00095 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
github-copilot-prompt-files 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.
What it actually says
GitHub Copilot prompt files
Create one manually invoked command for one focused task. Inspect the active VS Code prompt schema and available agent/tool identifiers first.
Workflow
- Define the input variables, attached context, output artifact, allowed tools, and completion evidence.
- Store workspace prompts as
.github/prompts/<name>.prompt.md; use user scope only for a genuinely cross-project command. - Add only needed frontmatter:
name,description,argument-hint,agent,model, andtoolsare currently supported. - Write an ordered task contract. Use
${input:name:placeholder}for missing values and relative Markdown links for repository context. - Give the prompt the smallest tool list. A prompt's
toolsoverrides tools inherited from its selected agent; unavailable tools can be ignored. - Run from the editor and slash menu, then verify the output rather than the response wording.
Rules
- Use a prompt for deliberate one-task invocation. Use a skill for automatic discovery, multi-step expertise, scripts, or resources.
- Omit
modelunless the task genuinely requires a verified model capability. - Do not hardcode current selections, secrets, absolute paths, or undocumented tool identifiers.
- Reference shared instructions instead of duplicating them.
- Ask only for inputs not discoverable from the workspace.
Read the prompt contract, use evaluated patterns, and follow verification.
Completion
Frontmatter parses; every input is consumed; links resolve; tools are available and least privilege; the slash command is discoverable; positive and malformed inputs produce the declared artifacts; a nearby non-command task stays outside.
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.
- 4d ago First seen · 47 lines · 74 tokens per session scan A 692d12fdf76f
github-copilot-prompt-files is a skill published in the GitHub repository skillmds/skillmd (1 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 477 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-19.
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