Borrowing it
Nothing to install: this file belongs to xelandernt/skilly. 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/xelandernt/skilly/main/AGENTS.mdgit clone --depth 1 https://github.com/xelandernt/skillyWrote 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/xelandernt/skilly/agents-md)<a href="https://agentmods.dev/instructions/xelandernt/skilly/agents-md"><img src="https://agentmods.dev/badge/instructions/xelandernt/skilly/agents-md/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/xelandernt/skilly/agents-md"><img src="https://agentmods.dev/badge/instructions/xelandernt/skilly/agents-md.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 | $0.01439 | $0.01439 |
| Opus 5.5 | $0.00576 | $0.00576 |
| Sonnet 5.5 | $0.00288 | $0.00288 |
| Haiku 4.5 | $0.00144 | $0.00144 |
Grade A, and why
skilly AGENTS.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 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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
1. Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
- Identify the affected contract first: Rust core, CLI, Python API, custom filesystem protocol, or external SkillsMP/GitHub boundary.
- Treat the Agent Skills specification
as authoritative for
SKILL.mdfields, names, resources, and validation rules. - State whether a public API change is breaking. Preserve compatibility unless the user explicitly allows breaking changes; when breaking changes are allowed, remove the old surface instead of maintaining parallel APIs.
- Confirm whether a CLI path must support both interactive terminals and non-interactive automation. Never assume a TTY is available.
- For filesystem work, reason about native and custom filesystems, path traversal, partial writes, stale resources, and rollback before coding.
- If behavior could live in Rust or Python, default to Rust core logic with a thin Python binding. Explain any exception.
- If multiple interpretations remain, present them and ask rather than choosing silently.
2. Simplicity First
Minimum code that solves the problem. Nothing speculative.
- Implement domain behavior once in
src/core.rs. Native filesystem entry points and Python/custom-filesystem entry points should delegate to the same generic implementation. - Keep
src/lib.rsas a binding layer,src/skilly/_bridge.pyas a typed adapter, andsrc/skilly/repository.pyas orchestration. Do not duplicate parsing, matching, scanning, installation, or update logic across layers. - Prefer one obvious public interface. Do not add response wrappers, aliases, convenience utilities, or configuration paths that duplicate an existing capability.
- Use
SkillRepositoryfor stateful workflows and focused discovery functions for stateless reads. - Keep CLI flows small: shared destination resolution, shared core operations, explicit TTY/non-TTY branches, and no terminal UI when plain output is enough.
- Do not add abstractions for a single use or options without a demonstrated caller.
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 · 142 lines · 1,439 tokens per session scan A 9bd296d2ae5f
skilly AGENTS.md is an instructions file published in the GitHub repository xelandernt/skilly (2 stars, last pushed 21d ago), licensed MIT. It adds 1,439 tokens to every session, about $0.0058 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 2026-08-31.
skilly AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skilly AGENTS.mdxelandernt/skilly | Instructions file | 2 | 21d ago | MIT | A | 1,439 | Codex, OpenCode |
| 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 |