sova: Instructions file for Codex

AGENTS.md

sova AGENTS.md is an instructions file for Codex, OpenCode from xsovad06/sova. It costs 5,584 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for SOVA, a Python application that takes software issues through AI-assisted development, review, pull requests, continuous-integration checks, and feedback.

In plain words
What is it for?
Use them when changing SOVA’s command-line interface, agent roles, scheduler, dashboard, issue tracking, test-driven development process, or documentation.
Why use it?
They explain the project’s terminology, architecture, security rules, and development workflow so agents can work safely within its automation system.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions .claude-plugin; mentions CLAUDE.md.

This is xsovad06/sova's own configuration. It tells Codex and OpenCode how to work on sova itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sova configures →

Reuse

Borrowing it

Nothing to install: this file belongs to xsovad06/sova. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/xsovad06/sova/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/xsovad06/sova

Made for: Codex, OpenCode.

Wrote 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.

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README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 5,584 This file is loaded in full into every session.
When invoked 5,584 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.05584 $0.05584
Opus 5.5 $0.02234 $0.02234
Sonnet 5.5 $0.01117 $0.01117
Haiku 4.5 $0.00558 $0.00558

Measured today against content hash 0ed8dcaa064c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sova 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 today.

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 · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Guidance for SOVA

This file provides cross-cutting guidance for any AI agent (Claude Code, Cursor, CodeRabbit, etc.) working in this repository.

SOVA (Software Orchestration Via Agents) is a standalone application that any software project can install to gain autonomous AI-assisted development capabilities. It takes issues from your tracker, develops solutions using TDD, self-reviews, creates PRs, monitors CI, addresses review feedback, and learns from mistakes. The system is written in Python (CLI, roles, scheduler, dashboard).

Context Index

File Purpose
CLAUDE.md Claude Code-specific commands, run instructions, knowledge system
AGENTS.md Cross-cutting conventions for all AI tools (this file)
README.md Project overview, installation, usage
docs/VISION.md Product vision and roadmap
.claude/rules/architecture.md Project structure, key paths, design decisions
docs/architecture-deep-dive.md On-demand: full narrative entries indexed (not duplicated) in architecture.md's "Supporting Modules" and "Key Design Decisions" sections
.claude/rules/bash-patterns.md Shell scripting conventions and gotchas
.claude/rules/workflow.md Development workflow and task finding
docs/model-selection-architecture.md LLM model routing, provider abstraction, model discovery/enumeration, design details
docs/model-selection-risk-assessment.md Model selection risks, migration path, rollback strategy
docs/model-selection-migration-guide.md Config shape for openai/ollama/vertex provider types
docs/security-guidelines.md Credential handling, input sanitization, subprocess safety
docs/performance-guidelines.md Timeouts, caching, concurrency, async patterns
docs/error-handling-guidelines.md Exceptions, logging, retries, fallbacks, circuit breakers
docs/api-contracts-guidelines.md Dashboard API, adapter ABC, LLM output formats
docs/database-guidelines.md ORM models, session management, migrations
docs/testing-guidelines.md pytest patterns, fixtures, mocking, test isolation
docs/deferred-consolidation.md Work an audit-driven consolidation pass deferred (import-layering contract, Codex runtime split, sova/workflow/), and the behaviour changes of the slices that landed
docs/integration-guidelines.md GitHub/Jira/SonarCloud integration, handoff protocol
docs/jira-configuration-guide.md Jira Cloud setup, JQL filters, status mapping, troubleshooting
docs/ai-provider-setup-guide.md LLM provider setup (llm.provider): credentials, model ids, Connections page
docs/commit-convention-setup.md Per-project commit types/scopes (commit.types, commit.scopes) used for generated commit subjects and PR titles
docs/codex-runtime-setup.md Codex agent runtime setup (agent.runtime = "codex"): auth, sandbox, rollback

Read the full file on GitHub · 263 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. today Changed · +1 lines · +45 tokens per session 0ed8dcaa064c
  2. yesterday Changed · +1 lines · +36 tokens per session 0db506f9d612
  3. 5d ago Changed · +5 tokens per session 500d3dde8320
  4. 6d ago Changed · +3 lines · +116 tokens per session 3eeb2951a007
  5. 8d ago Changed · +118 tokens per session 91e36711e29b
  6. 9d ago Changed · +9 tokens per session a56097ea03a3
  7. 11d ago Changed · +30 tokens per session c1702227d8a3
  8. 12d ago Changed · +131 tokens per session a69c94255ad1
  9. 13d ago Changed · +1 lines · +169 tokens per session 86a4ac410b9b
  10. 14d ago First seen · 257 lines · 4,925 tokens per session scan A da794c339d9e

Subscribe to this mod's changes

sova AGENTS.md is an instructions file published in the GitHub repository xsovad06/sova (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 5,584 tokens to every session, about $0.0223 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 2026-08-31.

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