issues AGENTS.md

Instructions for the Issues project, including its architecture, domain rules, feature catalogue, backlog, interface guidance, and coding-agent configuration. They describe how features are analysed, approved, implemented, and recorded.

In plain words
What is it for?
Planning features, checking the correct project documents, updating feature records, following development rules, and working with the repository's agent configurations.
Why use it?
They help agents work from the project's defined terminology and design rules instead of making assumptions. The documented process also keeps feature work and database changes organised.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/vepo/issues/agents-md
Clone the repo
git clone --depth 1 https://github.com/vepo/issues

Made for: Codex, OpenCode.

Per session 2,320 This file is loaded in full into every session.
When invoked 2,320 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.02320 $0.02320
Opus 5 $0.01160 $0.01160
Sonnet 5 $0.00464 $0.00464
Haiku 4.5 $0.00232 $0.00232

Measured 2d ago against content hash f628186e39f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issues 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 2d 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.

AGENTS.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent instructions (Issues)

Read these before changing code or tests:

Document Purpose
ARCHITECTURE.md Stack, packages, patterns, API map, naming, feature workflow
docs/domain-specification.md Ubiquitous language, bounded contexts, invariants
docs/feature-catalog.md UI routes and navigation paths
docs/backlog.md Ordered product backlog (ideas and priority)
docs/ui-elements-gallery.md UI element catalog — flat UI principles, properties, style, behavior
docs/conventions-checklist.md Doc debt and agent setup status
feature/ Feature analysis, tasks, approval, and changelog per capability
.cursor/rules/ Four pillars + file-scoped detail
.cursor/agents/ Project subagents (specialized behaviour)
.cursor/skills/issues-agent/ Backup skill: use Issues via MCP / API tokens

Not in production yet: This project is not in production yet. There is no need to keep legacy or update any production environment. Schema changes: amend V1.0.0__Database_Creation.sql only — see issues-flyway.mdc.

Development process: development-process.mdc — (1) feature analysis → (2) architecture design → (3) task break → (4) explicit task approval → (5) TDD. Each feature doc has Wireframe and Architecture sections; each changelog entry maintains a Feature checklist (FCn) rechecked before done. Two question kinds: FQn (product) and AQn (technical). Answering FQ/AQ triggers a mandatory impact review (not approval). No code before approved task IDs. Never end with non-working codemvn verify green before stopping.

API codegen: after backend endpoint changes, run mvn test then cd src/main/webui && npm run generate:api. Endpoints live in {context}.{action} subpackages — one HTTP method per class (e.g. user.create.CreateUserEndpoint).

Read the full file on GitHub · 112 lines

Changes

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.

  1. 2d ago First seen · 112 lines · 2,320 tokens per session scan A f628186e39f3

Subscribe to this mod's changes

issues AGENTS.md is an instructions file published in the GitHub repository vepo/issues (8 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,320 tokens to every session, about $0.0116 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.

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