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 agentmods add instructions/dhruvanbhalara/skills/copilot-instructionsgit clone --depth 1 https://github.com/dhruvanbhalara/skillsWrote 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/dhruvanbhalara/skills/copilot-instructions)<a href="https://agentmods.dev/instructions/dhruvanbhalara/skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dhruvanbhalara/skills/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00787 | $0.00787 |
| Opus 5 | $0.00394 | $0.00394 |
| Sonnet 5 | $0.00157 | $0.00157 |
| Haiku 4.5 | $0.00079 | $0.00079 |
Grade A, and why
skills copilot-instructions.md 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- skills AGENTS.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Instructions & Best Practices
As an AI agent working on this repository, you MUST adhere to the following core principles and coding standards. These are synthesized from the individual skills in the skills/ directory (covering Flutter, Dart, GitHub, and other development workflows).
Core Tech Stack
- Language: Dart 3 (Strong typing, null safety, exhaustive switch expressions)
- Framework: Flutter
- State Management: BLoC / Cubit (Event-driven, logic separation)
- Dependency Injection:
injectable/get_it - Architecture: Clean Architecture (Data → Domain → Presentation)
Coding Standards
- Naming:
PascalCasefor classes,camelCasefor variables/functions,snake_casefor files. - Strong Typing: NO
dynamic. UseObject?or explicit types. - Conciseness: Keep files < 300 lines. Keep functions short (< 50 lines).
- Null Safety: Avoid
!operator. Prefer pattern matching or early returns. - Logging: Use
AppLogger. NEVER useprint()or rawdebugPrint().
Architecture & Data
- Repository Pattern: DataSources handle raw IO (Dio, Isar, Firebase). Repositories handle orchestrating and domain mapping.
- Models: Use
fromJson/toJsonfactories. Data models live indata/, Domain entities indomain/, and UI states inpresentation/. - Forms: Manage form state in BLoCs. Use pure validator functions in the domain layer.
UI & UX (Design System)
- Design Tokens: ZERO hardcoded colors or spacing. Use
AppColors,AppSpacing, andAppRadius. - Widget Lifecycle: Declare controllers/nodes as
late finalininitState()and dispose indispose(). - Performance: NO heavy work in
build(). Mandate isolates for JSON parsing > 1MB. - Patterns: NO nested ScrollViews in same direction. NO private
_buildWidgetmethods (extract into classes). Use Slivers for complex lists.
Git Workflow
- Atomic Commits: One commit = one logical change. Follow Conventional Commits:
type(scope): description. - Commit Bodies: Include sub-messages to explain the "why" and "how" of changes.
- Pull Requests: Ensure zero analysis warnings and passing tests before PR. Provide descriptive titles and internal/external change summaries.
- Changelogs: Follow Keep a Changelog standards. Do not copy commit logs directly. Read the git history of the target branch, then summarize the changes under clear categories (Added, Changed, Fixed, Removed).
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.
- 5d ago First seen · 51 lines · 787 tokens per session scan A b39530d8ffbe
skills copilot-instructions.md is an instructions file published in the GitHub repository dhruvanbhalara/skills (29 stars, last pushed 5d ago), licensed MIT. It adds 787 tokens to every session, about $0.0039 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.
Other instructions, from other repositories
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droidconKeKotlin AGENTS.md
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