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/gauranshmathur/arr_mcp/agents-mdgit clone --depth 1 https://github.com/GauranshMathur/ARR_MCPWrote 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/gauranshmathur/arr_mcp/agents-md)<a href="https://agentmods.dev/instructions/gauranshmathur/arr_mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/gauranshmathur/arr_mcp/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 5.1 | $0.02301 | $0.02301 |
| Opus 5 | $0.01151 | $0.01151 |
| Sonnet 5 | $0.00460 | $0.00460 |
| Haiku 4.5 | $0.00230 | $0.00230 |
Grade A, and why
ARR_MCP 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://<host>:<port>/api/swagger.json | head -c 200 How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Conventions for working in this repository. Read this before adding a service or a tool.
Non-negotiables
- TDD. Write the test, run it, watch it fail for the right reason, then implement. Tests written after the code prove nothing — you never saw them catch anything.
- Verify the API before implementing it. Never write a client from memory. See "Researching a service" below. Most of the bugs already fixed in this repo came from assuming an API shape.
- Never write to stdout. Under the stdio transport, stdout carries the JSON-RPC stream. A single stray
fmt.Printlncorrupts the framing and kills the session. Logging goes to stderr;TestLoggerDefaultsToStderrpins this. - Conventional commits.
feat(scope):,fix(scope):,docs:,build:,ci:,test:,chore:. release-please builds the changelog from these, so the subject line is user-facing. Explain why in the body. - One feature per branch, one branch per worktree. See "Worktrees".
- One release per feature. See "Releasing".
Researching a service
Do this in order, and stop at the first that gives an authoritative answer:
- Live OpenAPI/Swagger document. Some services expose one unauthenticated:
Bazarr does. Sonarr 4.x and Radarr 6.x do not — they answer 404 even with a valid key, and unauthenticated they answer 401 for every path including nonexistent ones, which disguises the 404. For those, use the upstream repo's spec and verify each endpoint against the live instance.curl -s http://<host>:<port>/api/swagger.json | head -c 200 - Probe the live instance. Response schemas are often missing from the spec even when the paths are documented. When a key is needed, run the request inside the pod so the credential never leaves it:
kubectl exec <pod> -- sh -c 'K=$(...); curl -s -H "X-API-KEY: $K" http://127.0.0.1:<port>/api/<path>' - context7 for published library/API documentation.
Record anything surprising in the commit body. Real examples already found: Prowlarr serves /api/v1 while Sonarr and Radarr serve /api/v3; Bazarr wraps most responses in data but /badges and /system/languages are bare; provider resources (indexers, download clients, notifications) embed credentials in a fields array that must never reach a tool result.
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 · 137 lines · 2,301 tokens per session scan A 7a5a395bf221
ARR_MCP AGENTS.md is an instructions file published in the GitHub repository GauranshMathur/ARR_MCP (5 stars, last pushed 6d ago), licensed MIT. It adds 2,301 tokens to every session, about $0.0115 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
moira AGENTS.md
AGENTS.md instructions for moira-mcp/moira, covering agents.md, what moira is, repository layout, build & run (fresh clone) and image: line and uncomment the build: block, then.
moira CLAUDE.md
Claude Code instructions for moira-mcp/moira, a project described as: Agent Workflow Engine for AI agents over MCP — per-step directives, completion conditions, and JSON-Schema validation. Self-hostable (Apache-2.0).
mcpelevator CLAUDE.md
Claude Code instructions for pacnpal/mcpelevator, covering commands, architecture, conventions, agent skills and issue tracker.
mcpelevator AGENTS.md
AGENTS.md instructions for pacnpal/mcpelevator, covering commands, architecture and conventions.
postern CLAUDE.md
Claude Code instructions for getpostern/postern, covering postern — working notes for an agent in this repo, gotchas, invariants, shape and where the detail lives.
munin-memory AGENTS.md
AGENTS.md instructions for Magnus-Gille/munin-memory, covering munin memory — project instructions, instruction contract, project purpose and architecture, sources of truth and session and state discipline.