skill-orchestration-system: Instructions file for Codex

AGENTS.md

skill-orchestration-system AGENTS.md is an instructions file for Codex, OpenCode from Rainnystone/skill-orchestration-system. It costs 1,531 tokens per session, scanned A, original, MIT.

Project instructions for Skill Orchestration System, a Python command-line tool that organizes agent skills into reviewable groups and creates backups before changes.

In plain words
What is it for?
Use them when working on the Skill Orchestration System, especially when navigating its code, documentation, tests, migrations, or release files.
Why use it?
They tell agents where to find project guidance and which private or local files must stay out of the public repository.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents; mentions AGENTS.md; mentions Codex.

This is Rainnystone/skill-orchestration-system's own configuration. It tells Codex and OpenCode how to work on skill-orchestration-system 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 skill-orchestration-system configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Rainnystone/skill-orchestration-system. 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/Rainnystone/skill-orchestration-system/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Rainnystone/skill-orchestration-system

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,531 This file is loaded in full into every session.
When invoked 1,531 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 $0.01531 $0.01531
Opus 5.5 $0.00612 $0.00612
Sonnet 5.5 $0.00306 $0.00306
Haiku 4.5 $0.00153 $0.00153

Measured 2mo ago against content hash 75e493cc54fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-orchestration-system 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 · 137 lines

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.

Agent Instructions

Project Overview

Skill Orchestration System (SOS) is a Python CLI for organizing agent skills into auditable, activatable packs. It scans skill folders, proposes functional packs, writes reviewable plans, applies migrations only with explicit confirmation, generates sos-* pointer skills, and creates backups before writes.

This is the canonical public repository. Public files must stay free of personal paths, private workspace details, tokens, account data, and local planning logs. Local NHK, planning, spec, and archive surfaces may exist in this checkout, but they are intentionally ignored by Git.

Workspace Navigation

Start with the smallest current surface that can route the task safely:

  1. AGENTS.md for stable execution rules.
  2. coding-agent-guide.md for local task routing, when present.
  3. documentation-governance.md for local active/archive rules, when present.
  4. task_plan.md, findings.md, and progress.md only when they are active.
  5. README.md, README_CN.md, references/, src/, and tests/ for public product work.

Ignored local workflow files include task_plan.md, progress.md, findings.md, coding-agent-guide.md, documentation-governance.md, docs/, and archive/. They are useful for local continuity but must not be committed.

Architecture Boundaries

  • CLI writes must stay deterministic, auditable, and dry-run-first.
  • scan, propose, and dry-run commands must not mutate active skill roots.
  • Config, manifest, vault, backup, restore, sync, and source deletion behavior must be covered by tests.
  • Source deletion must remain opt-in and require explicit confirmation.
  • Pointer skills should remain short routing surfaces; full skill content belongs in the managed vault.
  • Do not hardcode local absolute paths or user-specific defaults.
  • Host-specific disable behavior must stay isolated to operation kinds (MOVE_TO_ARCHIVE for Claude, DISABLE_CODEX_SKILL for Codex) and validated in apply._validate_plan before any write.

Read the full file on GitHub · 137 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 · 137 lines · 1,531 tokens per session scan A 75e493cc54fb

Subscribe to this mod's changes

skill-orchestration-system AGENTS.md is an instructions file published in the GitHub repository Rainnystone/skill-orchestration-system (10 stars, last pushed 4mo ago), licensed MIT. It adds 1,531 tokens to every session, about $0.0061 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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