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 SebastienDegodez/copilot-instructions --skill finding-filesgit clone --depth 1 https://github.com/SebastienDegodez/copilot-instructionsWrote 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/sebastiendegodez/copilot-instructions/finding-files)<a href="https://agentmods.dev/skills/sebastiendegodez/copilot-instructions/finding-files"><img src="https://agentmods.dev/badge/skills/sebastiendegodez/copilot-instructions/finding-files.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 5.1 | $0.00028 | $0.00739 |
| Opus 5 | $0.00014 | $0.00369 |
| Sonnet 5 | $0.00006 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
finding-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 7d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fd: Intuitive File Search
Always invoke finding-files skill for fast file discovery - do not execute bash commands directly.
Use fd for fast file discovery that's 13-23x faster than find.
Default Strategy
Invoke finding-files skill for fast file discovery with parallel search and smart defaults. Use when searching for files by name, pattern, or type, especially when performance matters or when working with large directories.
Common workflow: finding-files skill → other skills (fuzzy-selecting, viewing-files, searching-text, replacing-text) for further processing.
Key Options
-e extfor extension filtering-t file|dirfor type filtering-Hinclude hidden files-Iignore .gitignore--exclude patternexclusions-xexec per file,-Xexec batch{},{.},{/}placeholders
When to Use
- Quick file searches by pattern
- Filter by type, size, extension
- Search with depth limits
- Batch file operations
- Integration with other tools
Common Workflows
finding-files → fuzzy-selecting → viewing-files: Search files, select interactively, view with syntax highlightingfinding-files → replacing-text: Find files and perform batch replacementsfinding-files → xargs tool: Execute commands on found filesfinding-files → searching-text: Search within specific file types
Core Principle
Smart defaults: ignores hidden/.gitignore files, case-insensitive, parallel search - much faster than find.
Detailed Reference
For comprehensive search patterns, filtering options, execution examples, and performance tips, load fd guide when needing:
- Advanced filtering patterns (size, time, depth)
- Batch execution with placeholders
- Performance optimization techniques
- Integration with shell scripts
- Complex exclusion patterns
The guide includes:
- Core search patterns and file discovery
- Extension and type filtering techniques
- Execution and batch operation examples
- Performance optimization strategies
- Integration with other tools (xargs, ripgrep)
- Advanced filtering and exclusion patterns
What ships with it
1 file 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.
- 7d ago First seen · 88 lines · 28 tokens per session scan A c7b2d809a330
finding-files is a skill published in the GitHub repository SebastienDegodez/copilot-instructions (192 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 739 once invoked, about $0.0001 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 skills, from other repositories
rework-rate
Measure and interpret PR rework rate — the emerging 5th DORA metric.
mcp
Build or consume Model Context Protocol (MCP) servers and clients in .NET using the official MCP C# SDK, including stdio, Streamable HTTP, tools, prompts, resources, and capability negotiation. USE FOR: .NET MCP servers or clients; stdio versus HTTP transport choices; tools, resources, prompts, completions, and…
microsoft-extensions-ai
Build provider-agnostic .NET AI integrations with Microsoft.Extensions.AI, IChatClient, embeddings, middleware, structured output, vector search, and evaluation. USE FOR: building or reviewing .NET code that uses Microsoft.Extensions.AI, Microsoft.Extensions.AI.Abstractions, IChatClient, IEmbeddingGenerator…
migrate-xunit-to-xunit-v3
Migrate .NET test projects from xUnit.net v2 to xunit.v3 and fix v3 breaks. Use for package/CPM conversion, OutputType=Exe, preserving the VSTest or MTP runner (including projects currently using YTest.MTP.XUnit2), incompatible TFMs, async void tests, string-to-Type attributes, custom Fact/Theory/BeforeAfterTest…
semantic-kernel
Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable. USE FOR: adding AI-driven prompts, plugins, or orchestration to a .NET app; reviewing kernel construction, service registration, or plugin usage; building…
template-instantiation
Creates .NET projects from templates with validated parameters, smart defaults, Central Package Management adaptation, and latest NuGet version resolution. USE FOR: creating new dotnet projects, scaffolding solutions with multiple projects, installing or uninstalling template packages, creating projects that respect…