Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/ashermahonin/agentic-skills/agents-mdgit clone --depth 1 https://github.com/ashermahonin/agentic-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/ashermahonin/agentic-skills/agents-md)<a href="https://agentmods.dev/instructions/ashermahonin/agentic-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/ashermahonin/agentic-skills/agents-md.svg" alt="Measured on agentmods" 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 | $0.00914 | $0.00914 |
| Opus 5 | $0.00457 | $0.00457 |
| Sonnet 5 | $0.00183 | $0.00183 |
| Haiku 4.5 | $0.00091 | $0.00091 |
Grade A, and why
agentic-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 5d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Skills repository rules
Purpose
This repository maintains 47 portable Agent Skills, their route map, client adapters, project-memory skeleton, documentation, installer, and validator.
Repository map
- agentic/skills: self-contained skills in the open Agent Skills format.
- agentic/routing/skills.json: entrypoints, order, permissions, and combinations.
- agentic/standards: runtime capability contract.
- agentic/compatibility: verified client map.
- agentic/adapters: client-specific integration without provider logic in core skills.
- agentic/docs: English, Russian, Spanish, and Chinese documentation.
- agentic/obsidian: linked project-memory templates.
- agentic/scripts: repository validation and deterministic documentation generators.
- install.sh: global and project-local installation.
Working rules
- Select the smallest route that owns the task. Do not run broad discovery for a bounded, familiar change.
- Check the runtime capabilities required by the route. Missing tools change the deliverable; they do not justify invented evidence.
- Preserve user scope, permissions, dirty files, and existing project instructions.
- Use current primary documentation when external technology or standards affect a decision. Prefer Context7 MCP when available.
- Keep temporary scripts, screenshots, logs, and generated output out of the repository root.
- Use a failing test before production code when an automated test can provide useful regression evidence. Record another verification method when it cannot.
- Apply engineering-quality to production code and focused refactors.
- Keep production writes inside service-implementation ownership; review skills remain read-only unless fixes are requested.
- Match validation and security depth to the affected surface and blast radius.
- Update the canonical documentation and project memory when behaviour, operation, architecture, or durable decisions change.
- Apply agentic/routing/principal-operating-model.md before critical writes.
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.
- 5d ago First seen · 83 lines · 914 tokens per session scan A 958c3c19204c
agentic-skills AGENTS.md is an instructions file published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 914 tokens to every session, about $0.0046 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 2026-08-31.
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).
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.
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 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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.