Borrowing it
Nothing to install: this file belongs to asgard-ai-platform/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/asgard-ai-platform/skills/main/AGENTS.mdgit clone --depth 1 https://github.com/asgard-ai-platform/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/asgard-ai-platform/skills/agents-md)<a href="https://agentmods.dev/instructions/asgard-ai-platform/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/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/asgard-ai-platform/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/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 | $0.01206 | $0.01206 |
| Opus 5.5 | $0.00482 | $0.00482 |
| Sonnet 5.5 | $0.00241 | $0.00241 |
| Haiku 4.5 | $0.00121 | $0.00121 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Asgard Skills — Repository Context
This repository is the raw ingredient pantry for Asgard AI Platform plugins: 263 coding agent skills organized by topic prefix.
Repository Purpose
- NOT a plugin: this repo holds raw skill files; plugins are assembled elsewhere by combining curated skills + MCPs
- NOT a template: see
skill-templatefor the plugin scaffolding - IS a versioned library of methodology + judgment + gotchas, packaged as Claude Agent Skills
Skill Anatomy
Every skill is a directory at the repo root, named {category}-{slug}, containing:
{category}-{slug}/
├── SKILL.md ← REQUIRED: frontmatter + methodology body
├── examples/ ← REQUIRED: directory must exist (uses .gitignore trick for empty dirs)
├── references/ ← REQUIRED: directory must exist; populated when SKILL.md offloads heavy content
└── scripts/ ← OPTIONAL: only present when the skill has executable scripts
Naming Convention
Skills use topic-based prefixes (no skill- prefix). The 22 categories:
grad- Graduate-level theoretical models
algo- Algorithms
biz- Business school frameworks
hum- Humanities / critical reasoning
tw- Taiwan-specific knowledge
ecom- E-commerce practical
econ- Economics fundamentals
meta- Interdisciplinary mental models
ops- Business operations
law- Legal frameworks
pr- PR & brand communications
cs- Customer service
data- Data analytics
mfg- Manufacturing
mkt- Digital marketing
med- Mass communication / journalism
soc- Social science
stat- Statistical methodology
tech- General tech (API, prompt eng, MCP)
ux- Design / UX methodology
fin- Finance practical
xborder- Cross-border commerce
SKILL.md Rules
- Frontmatter (
name,descriptionrequired;metadataoptional) - Description: WHAT + WHEN, imperative tone, < 1024 chars, no XML angle brackets, includes trigger phrases
- Body: < 500 lines / < 5,000 tokens — offload heavy content to
references/ - IRON LAW block: every skill must declare one non-obvious constraint
- Output Format: a Markdown or JSON template the agent should follow
- Gotchas: 5-6 specific, actionable pitfalls (not generic advice)
- Skill name must not contain:
claudeoranthropic(reserved)
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 · 113 lines · 1,206 tokens per session scan A df088823b697
skills AGENTS.md is an instructions file published in the GitHub repository asgard-ai-platform/skills (243 stars, last pushed 4mo ago), licensed MIT. It adds 1,206 tokens to every session, about $0.0048 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
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.