solo-compay-os: Instructions file for Codex

AGENTS.md

solo-compay-os AGENTS.md is an instructions file for Codex, OpenCode from hubo0520/solo-compay-os. It costs 762 tokens per session, scanned A, original, MIT.

Repository instructions for building a readable, runnable reference implementation of a one-person company operated by an AI agent.

In plain words
What is it for?
They guide work on the command-line interface, mock-provider runs, skill discovery, structured outputs, replayable run data, and tests.
Why use it?
They set shared rules for reliable runs, strict JSON results, trace records, and a simple project structure.

Instructions file for CodexOpenCode

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

This is hubo0520/solo-compay-os's own configuration. It tells Codex and OpenCode how to work on solo-compay-os 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 solo-compay-os configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hubo0520/solo-compay-os. 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/hubo0520/solo-compay-os/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/hubo0520/solo-compay-os

Made for: Codex, OpenCode.

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Per session 762 This file is loaded in full into every session.
When invoked 762 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 $0.00762 $0.00762
Opus 5.5 $0.00305 $0.00305
Sonnet 5.5 $0.00152 $0.00152
Haiku 4.5 $0.00076 $0.00076

Measured 2mo ago against content hash eab427240548, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

solo-compay-os 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 2mo 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 · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file is written for AI coding agents (and humans) contributing to this repository.

Goal: keep this repo a teaching-quality reference implementation of an "agent one-person company" that is runnable, readable, and easy to extend.

Core principles

  1. Runnable first

    • solo-company run "..." --provider mock must always work without any keys.
    • CI should run end-to-end using MockProvider.
  2. Progressive disclosure

    • Skills are discovered by metadata first (frontmatter), then instructions, then resources.
    • Do not load all skill bodies into context unless necessary.
  3. Structured outputs

    • Any LLM-produced artifact must be parsed into a strict schema (JSON).
    • If parsing fails, record a warning in the trace instead of crashing.
  4. Trace everything

    • Every significant step emits a JSONL trace event.
    • Runs are replayable: runs/<id>/plan.json + trace.jsonl + generated workspace.
  5. Small, boring tech

    • Prefer standard library + a few well-known libs (Typer, Pydantic, PyYAML, Rich).
    • Avoid "framework soup" in v0.1.

Repo layout

  • src/solo_company_os/cli.py
    Typer CLI entrypoint (solo-company).

  • src/solo_company_os/core/skill.py
    Parses SKILL.md (YAML frontmatter + Markdown body).

  • src/solo_company_os/core/skill_index.py
    Discovers skills under:

    • .agents/skills/
    • .github/skills/
    • .claude/skills/
    • ~/.claude/skills/, ~/.codex/skills/
  • src/solo_company_os/core/orchestrator.py
    Plan → execute work orders → write artifacts → RUN.md

  • src/solo_company_os/core/providers/
    Provider abstraction:

    • mock.py: deterministic, offline, used by CI
    • openai_compatible.py: OpenAI-compatible /v1/chat/completions for real runs
  • .agents/skills/*/SKILL.md
    Example skills shipped with the repo.

  • scenarios/
    Example mission files.

Output contract conventions

For all skills in this repo, the active agent must return ONLY JSON:

Read the full file on GitHub · 93 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. 2mo ago First seen · 93 lines · 762 tokens per session scan A eab427240548

Subscribe to this mod's changes

solo-compay-os AGENTS.md is an instructions file published in the GitHub repository hubo0520/solo-compay-os (5 stars, last pushed 8mo ago), licensed MIT. It adds 762 tokens to every session, about $0.0030 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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