Borrowing it
Nothing to install: this file belongs to SkeneTechnologies/plg-skills. 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/SkeneTechnologies/plg-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/SkeneTechnologies/plg-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/skenetechnologies/plg-skills/agents-md)<a href="https://agentmods.dev/instructions/skenetechnologies/plg-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/skenetechnologies/plg-skills/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/skenetechnologies/plg-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/skenetechnologies/plg-skills/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 | $0.00353 | $0.00353 |
| Opus 5 | $0.00177 | $0.00177 |
| Sonnet 5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
plg-skills 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 10d 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
AI / agent guide for this repo
This repository is a Markdown skill library for Product-Led Growth (PLG). It is not an application/codebase; it’s a collection of instruction files.
Repo structure (don’t break this)
- Skills live in
skills/<skill-name>/SKILL.md - Every skill file starts with YAML front matter:
name: must match the directory name exactly (e.g.skills/growth-loops/→name: growth-loops)description: when to use the skill + a few example user phrases + cross-references
Content standards (how to write/edit skills)
- Dense and actionable: frameworks, checklists, step-by-step playbooks, and copy/paste templates
- Context-aware: tailor guidance to product type, persona, ACV, market, and current motion (PLG/marketing-led/sales-led)
- Low fluff: minimize generic advice; be specific and opinionated with caveats
- Cross-reference other skills using backticks (e.g.
growth-loops) instead of duplicating content
When adding a new skill
- Create
skills/<new-skill>/SKILL.md - Keep
name: <new-skill>aligned with the folder name - Update
README.md:- add the new skill to the right table/category
- update the Skills (N) count
What to avoid
- Don’t change skill folder names without also updating
name:and any cross-references. - Don’t remove the YAML front matter.
- Don’t add unrelated tooling/code unless explicitly requested.
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.
- 10d ago First seen · 33 lines · 353 tokens per session scan A 1b5c6664edd8
plg-skills AGENTS.md is an instructions file published in the GitHub repository SkeneTechnologies/plg-skills (19 stars, last pushed 7mo ago), licensed MIT. It adds 353 tokens to every session, about $0.0018 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
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.