Borrowing it
Nothing to install: this file belongs to Pwd9000-ML/GitHub-Copilot-Bootcamp. 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/Pwd9000-ML/GitHub-Copilot-Bootcamp/master/.github/instructions/Currriculum-Styling.instructions.mdgit clone --depth 1 https://github.com/Pwd9000-ML/GitHub-Copilot-BootcampWrote 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/instructions/pwd9000-ml/github-copilot-bootcamp/currriculum-styling)<a href="https://agentmods.dev/instructions/pwd9000-ml/github-copilot-bootcamp/currriculum-styling"><img src="https://agentmods.dev/badge/instructions/pwd9000-ml/github-copilot-bootcamp/currriculum-styling/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/instructions/pwd9000-ml/github-copilot-bootcamp/currriculum-styling"><img src="https://agentmods.dev/badge/instructions/pwd9000-ml/github-copilot-bootcamp/currriculum-styling.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 | $0.00450 | $0.00450 |
| Opus 5.5 | $0.00180 | $0.00180 |
| Sonnet 5.5 | $0.00090 | $0.00090 |
| Haiku 4.5 | $0.00045 | $0.00045 |
Grade A, and why
Currriculum-Styling 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.
What it actually says
Language and spelling
- Use British English spelling throughout all curriculum files. Common substitutions: "customise" not "customize", "behaviour" not "behavior", "organisation" not "organization", "optimise" not "optimize", "recognise" not "recognize", "analyse" not "analyze".
Formatting and structure
- Use consistent heading hierarchy across all markdown files: one H1 per page for the page title, H2 for major sections, H3 for subsections.
- Use consistent formatting for lists and links across all markdown files.
- Do not use em dashes (—). Use a full stop (.) or a comma (,) to separate clauses instead.
- When listing prerequisites, use bullet points and keep each item concise.
Code blocks
- In every code block, include a comment that explains the purpose of the code and any important detail that learners should be aware of.
Page completeness
- Every page must end with a
## Next Stepssection that links to the next page in the curriculum or to additional resources. Exception: FAQ documents do not require a Next Steps section.
Issue templates
- Issue templates must include clear, specific sections for the user to fill out (for example: "What did you try?", "What happened?", "Expected behaviour", "Actual behaviour").
- When curriculum content changes, review the corresponding issue template and update it if the changed content is referenced.
README maintenance
- When curriculum content or structure changes, update the root
README.mdto reflect those changes. - After any update, set the
**Last Updated:** DD/MM/YYYYline near the top ofREADME.mdto today's date in DD/MM/YYYY format.
Adding a new week
- When adding a brand new week of content, use the
weekly-curriculumskill in.github/skills/weekly-curriculum/SKILL.md. It enforces the folder layout, file naming, placeholder fill-in, styling rules, and README updates automatically.
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 · 37 lines · 450 tokens per session scan A 4e0f46d6fd27
Currriculum-Styling is an instructions file published in the GitHub repository Pwd9000-ML/GitHub-Copilot-Bootcamp (28 stars, last pushed 5mo ago), licensed MIT. It adds 450 tokens to every session, about $0.0018 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 2026-08-30.
Currriculum-Styling compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Currriculum-StylingPwd9000-ML/GitHub-Copilot-Bootcamp | Instructions file | 28 | 5mo ago | MIT | A | 450 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |