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 skills add Aaditya1273/Agent.md --skill agentmd-usagegit clone --depth 1 https://github.com/Aaditya1273/Agent.mdWrote 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/skills/aaditya1273/agent.md/agentmd-usage)<a href="https://agentmods.dev/skills/aaditya1273/agent.md/agentmd-usage"><img src="https://agentmods.dev/badge/skills/aaditya1273/agent.md/agentmd-usage/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/skills/aaditya1273/agent.md/agentmd-usage"><img src="https://agentmods.dev/badge/skills/aaditya1273/agent.md/agentmd-usage.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 | $0.00224 | $0.01994 |
| Opus 5.5 | $0.00090 | $0.00798 |
| Sonnet 5.5 | $0.00045 | $0.00399 |
| Haiku 4.5 | $0.00022 | $0.00199 |
Grade A, and why
agentmd-usage 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent.md usage
Agent.md is a package manager for engineering standards: 304 packages across
20 categories, each a plain markdown file, each shipped in 11 model-tuned
variants (claude, deepseek, gemini, glm, grok, kimi, minimax,
mistral, open-ai, qwen, sarvam-ai). Substance is identical across
variants; only framing changes (Claude variants use XML section tags, OpenAI
variants use markdown headers, Grok variants put non-negotiables first, and so
on). Nothing is executed — packages are markdown written to disk.
Two checks to run without being asked
- Before writing code against a pinned library — Next.js, React, Prisma,
Pydantic, SQLAlchemy, Zod, Tailwind, Express, Django, Vue — run
npx activate-agentmd pins. It prints the breaking changes for the majors this project actually runs. Your training data may predate them; follow the pins over habit. - After editing an instruction file (CLAUDE.md, AGENTS.md, GEMINI.md,
.cursor/rules/*,.claude/rules/*,.claude/skills/*,.github/copilot-instructions.md) runnpx activate-agentmd lint. It exits non-zero on a leaked key or a prompt-injection pattern; fix those before continuing.
Everything goes through one CLI. Always invoke it as npx activate-agentmd unless
agentmd is already on PATH. Node 18+.
If the Agent.md MCP is connected
The registry is also served as an MCP server at https://agentmd.pages.dev/api/mcp
(streamable HTTP). When it is connected, prefer its tools over shelling out
to search — they return structured results without leaving the conversation:
| Tool | Use it for |
|---|---|
list_categories |
See the 20 categories and package counts before choosing |
search_packages(query, limit?) |
Find standards by keyword; add a model name to filter by family |
get_package(category, package, model?) |
Read a standard's full markdown before recommending it |
install_command(category, package, model?, agent?) |
The exact activate-agentmd commands to install and link it |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 135 lines · 224 tokens per session scan A 73feea5b8628
agentmd-usage is a skill published in the GitHub repository Aaditya1273/Agent.md (11 stars, last pushed 2d ago), licensed MIT. It adds 224 tokens to every session and 1,994 once invoked, about $0.0009 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 2026-10-03.
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