Borrowing it
Nothing to install: this file belongs to eikonoikari1/skillport. 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/eikonoikari1/skillport/main/AGENTS.mdgit clone --depth 1 https://github.com/eikonoikari1/skillportWrote 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/eikonoikari1/skillport/agents-md)<a href="https://agentmods.dev/instructions/eikonoikari1/skillport/agents-md"><img src="https://agentmods.dev/badge/instructions/eikonoikari1/skillport/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/eikonoikari1/skillport/agents-md"><img src="https://agentmods.dev/badge/instructions/eikonoikari1/skillport/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 | $0.00586 | $0.00586 |
| Opus 5.5 | $0.00234 | $0.00234 |
| Sonnet 5.5 | $0.00117 | $0.00117 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
skillport 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skillport
Universal skill/rule adapter for AI coding harnesses.
What this project is
skillport converts skills, rules, and instructions between Claude Code, Cursor, Codex CLI, OpenClaw, GitHub Copilot, and Windsurf. The primary source lives in claude-code/. Pre-ported versions for other harnesses are in their respective directories.
Architecture
- IR-based: Every conversion goes through an intermediate representation (
src/ir.ts). No N-to-N format converters. - Parse → IR → Emit: Parsers in
src/parsers/read native formats. Emitters insrc/emitters/write them. Adapters insrc/adapters/handle cross-harness feature mapping. - Three strategies for non-portable features: native mapping, functional shims (wrapper scripts, instruction text), or annotated comments. Nothing is silently dropped.
Key files
claude-code/SKILL.md-- the skill definition (conversational-first, parses user intent for WHAT/FROM/TO)claude-code/bin/skillport.ts-- CLI entry point (commander-based,convertanddetectsubcommands)claude-code/src/ir.ts-- SkillIR type definitions, parity scoringclaude-code/src/detect.ts-- auto-detection of harness format from file paths and frontmatterclaude-code/src/utils/warnings.ts-- parity report formatting
Conventions
- Parsers return
SkillIR. Emitters acceptSkillIRand returnConversionResult(files + warnings + parity). - Every emitter must populate
warningsandfeaturesarrays for the parity report. - Use
buildParity()fromutils/warnings.tsto compute the final assessment. - Shims go in
scripts/within the emitted skill directory. Annotations go as HTML comments in the body.
Adding a new harness
- Add the harness name to
HarnessTypesinsrc/ir.ts - Create
src/parsers/<harness>.tswith a parse function returningSkillIR - Create
src/emitters/<harness>.tswith an emit function returningConversionResult - Add entries to the adapter mapping tables in
src/adapters/ - Wire the parser and emitter into
bin/skillport.ts(theparseSourceandemitTargetfunctions) - Update the detection logic in
src/detect.ts
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 · 46 lines · 586 tokens per session scan A 553c0a8dfbf6
skillport AGENTS.md is an instructions file published in the GitHub repository eikonoikari1/skillport (1 stars, last pushed 7mo ago), licensed MIT. It adds 586 tokens to every session, about $0.0023 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.