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/pilotariak/azkena/agents-mdgit clone --depth 1 https://github.com/pilotariak/azkenaWrote 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/pilotariak/azkena/agents-md)<a href="https://agentmods.dev/instructions/pilotariak/azkena/agents-md"><img src="https://agentmods.dev/badge/instructions/pilotariak/azkena/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 | $0.02334 | $0.02334 |
| Opus 5 | $0.01167 | $0.01167 |
| Sonnet 5 | $0.00467 | $0.00467 |
| Haiku 4.5 | $0.00233 | $0.00233 |
Grade A, and why
azkena AGENTS.md scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Test with curl: How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Azkena
Azkena is the Model Context Protocol (MCP) server for the Pilotariak platform. It exposes Basque pelota competition data as MCP tools so AI assistants (Claude Desktop, Cursor, Copilot Workspace, etc.) can query competitions, clubs, results, and more.
Built as a Cloudflare Worker using @modelcontextprotocol/sdk.
Architecture
azkena/
└── src/
├── index.ts # Worker entry — routes HTTP to MCP and /.well-known/
├── types.ts # Env bindings
├── discovery.ts # /.well-known/ discovery endpoints
├── frontis/
│ └── client.ts # GraphQL client for Frontis gateway
└── tools/
├── index.ts # Registers all tools on the McpServer
├── competitions.ts
├── clubs.ts
├── categories.ts
├── specialties.ts
└── results.ts
MCP Tools
| Tool | Description | Key parameters |
|---|---|---|
list_competitions |
All competitions for a league | league |
list_clubs |
All clubs in a league | league |
list_categories |
Player categories (divisions/series) | league |
list_specialties |
Basque pelota disciplines | league |
list_results |
Match results with optional filters | league, competitionId?, specialtyId?, categoryId?, phase? |
League codes: lcapb · lidfpb · ccapb · ctpb
The typical workflow for an AI assistant:
- Call
list_competitions/list_categories/list_specialtiesto get IDs - Call
list_resultswith those IDs to get filtered match results
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.
- 3d ago First seen · 218 lines · 2,334 tokens per session scan A 767ffa4be224
azkena AGENTS.md is an instructions file published in the GitHub repository pilotariak/azkena (0 stars, last pushed 13d ago), licensed Apache-2.0. It adds 2,334 tokens to every session, about $0.0117 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
ai-toolkit AGENTS.md
AGENTS.md instructions for pipefy/ai-toolkit, covering repository guidelines, documentation map, project structure, import namespace migration: pipefysdk → pipefy and src/pipefysdk/init.py (transitional shim).
superpowers-reasonix AGENTS.md
Instructions for christopherarter/superpowers-reasonix, covering project guidance, skills — stop. load a skill before you act, red flags — these thoughts mean stop. you are rationalizing and priority.
ai-mind AGENTS.md
AGENTS.md instructions for HWYD/ai-mind, covering agents, version spec workspace continuity (mandatory), 项目定位, 事实来源优先级 and 开始大改前先读什么.
vvvv-skills CLAUDE.md
Claude Code instructions for tebjan/vvvv-skills, covering vvvv gamma, when to patch vs code, core concepts, live environment and important conventions.
pi AGENTS.md
AGENTS.md instructions for counterposition/pi, covering agents.md, commands, pattern: pnpm --filter @counterposition/pi-web-search run, single test file and single test by name.
SciCrucible CLAUDE.md
Claude Code instructions for Xinyang-Li666/SciCrucible, covering 科学知识库, 知识库结构, 可用命令, 项目目录 and 工作原则.