Borrowing it
Nothing to install: this file belongs to mcwalrus/oppertunity-party. 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/mcwalrus/oppertunity-party/main/AGENTS.mdgit clone --depth 1 https://github.com/mcwalrus/oppertunity-partyWrote 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/mcwalrus/oppertunity-party/agents-md)<a href="https://agentmods.dev/instructions/mcwalrus/oppertunity-party/agents-md"><img src="https://agentmods.dev/badge/instructions/mcwalrus/oppertunity-party/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/mcwalrus/oppertunity-party/agents-md"><img src="https://agentmods.dev/badge/instructions/mcwalrus/oppertunity-party/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 | $0.01746 | $0.01746 |
| Opus 5.5 | $0.00698 | $0.00698 |
| Sonnet 5.5 | $0.00349 | $0.00349 |
| Haiku 4.5 | $0.00175 | $0.00175 |
Grade A, and why
oppertunity-party 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
just validate-docs # hyperlink on docs/**/*.md (internal) + curl HEAD on external URLs How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
Project Overview
Scrapes the New Zealand Opportunity Party website and converts content into local markdown files. Sources include policies (with linked PDFs), blog posts, news, team profiles, events, and party governance documents.
Key Paths
| Path | Description | Git |
|---|---|---|
data/sources/opportunity-website/ |
Raw scraper output — written by ingestors, never read by consumers | Ignored |
data/clean/ |
Normalized content — canonical source for all consumers | Tracked |
data/clean/_index.json |
Cross-type search index (regenerated each transform run) | Tracked |
pipeline/ |
Dagster code location — wraps ingestion + transforms as assets | — |
docs/data-architecture.md |
Pipeline design, layer invariants, how to add source/consumer | Tracked |
docs/dependencies.md |
Why each dependency exists (grouped by purpose) | Tracked |
docs/reference/ |
Reference materials used while building (Dagster course, …) | Tracked |
tasks/ |
PRDs and planning notes (prd-*.md, campaign-website-issues/) |
Tracked |
TODO: add docs/data-schema.md
Data Pipeline
https://dagster.io/ is the library we use to manage ETL (Extract, Transform, Load) processes. This will include web-scraping, data cleansing, transformations, site build, sitemap resolution, and deployment. We expect agents to apply the appropriate Asset management.
Operations go through Dagster
Most operations should be expressed as Dagster assets — not as standalone scripts or justfile recipes. The justfile is reserved for:
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 · 132 lines · 1,746 tokens per session scan A dd5cc5319062
oppertunity-party AGENTS.md is an instructions file published in the GitHub repository mcwalrus/oppertunity-party (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,746 tokens to every session, about $0.0070 per session on Opus 5.5. 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
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).
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.