Agent Skills Platform turns documented work and supporting evidence into tested, installable skills for coding agents. Teams use it to review, publish, maintain, and safely reuse agent workflows, with the catalogue entries serving as skills and plugins built for that ecosystem.
Borrowing it
Nothing to install: this file belongs to FrancyJGLisboa/agent-skill-creator. 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/FrancyJGLisboa/agent-skill-creator/main/AGENTS.mdgit clone --depth 1 https://github.com/FrancyJGLisboa/agent-skill-creatorWrote 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/francyjglisboa/agent-skill-creator/agents-md)<a href="https://agentmods.dev/instructions/francyjglisboa/agent-skill-creator/agents-md"><img src="https://agentmods.dev/badge/instructions/francyjglisboa/agent-skill-creator/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/francyjglisboa/agent-skill-creator/agents-md"><img src="https://agentmods.dev/badge/instructions/francyjglisboa/agent-skill-creator/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 | $0.00285 | $0.00285 |
| Opus 5.5 | $0.00114 | $0.00114 |
| Sonnet 5.5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
agent-skill-creator 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 1mo 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
agent-skill-creator
Turn any workflow into a reusable, cross-platform agent skill. The user describes what they do — in plain English, or by handing over a PDF, a link, a script, a transcript — and this skill builds a complete, validated, security-scanned agent skill with functional code, its own eval suite, and a cross-platform installer.
Activation
Invoke with /agent-skill-creator <description or material>, or naturally:
- "Create a skill for analyzing CSV files"
- "Every day I process invoices manually, automate this"
- "Validate this skill" / "Export this skill for Cursor"
How to use this file
This is the cross-tool companion file (AAIF format). The full factory instructions — the five-phase pipeline, quality gates, eval emission, and cross-platform export — live in SKILL.md at this repo root. Read SKILL.md and follow it; treat this file as the pointer, not the instructions.
What generated skills carry
Every skill this factory produces ships with: spec-compliant SKILL.md + AGENTS.md, functional scripts, an eval spec with golden cases and a regression gate (scripts/run_evals.py), a self-maintenance loop (scripts/evolve.py), plugin manifests for native in-tool installs, and a 17-platform installer.
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.
- 1mo ago First seen · 30 lines · 285 tokens per session scan A abf2e8e72f33
agent-skill-creator AGENTS.md is an instructions file published in the GitHub repository FrancyJGLisboa/agent-skill-creator (2,407 stars, last pushed 1mo ago), licensed MIT. It adds 285 tokens to every session, about $0.0011 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.
Other instructions, from other repositories
data-scientist copilot-instructions.md
Repository instructions for a data-science workflow in GitHub Copilot, covering datasets, statistics, and analysis files.
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).