SuperSpec AGENTS.md

SuperSpec AGENTS.md is an instructions file for Codex, OpenCode from asasugar/SuperSpec. It costs 2,431 tokens per session, scanned A, original, MIT.

Agent instructions for SuperSpec, a system for managing software changes through written specifications and project context.

In plain words
What is it for?
They are for checking active changes, choosing whether to follow or adapt project context, and creating specification changes through the supported command-line workflow.
Why use it?
They tell the agent what project rules and existing changes to inspect before creating or modifying a specification.

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/asasugar/superspec/agents-md
Clone the repo
git clone --depth 1 https://github.com/asasugar/SuperSpec

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.

agentmods badge for SuperSpec AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/asasugar/superspec/agents-md.svg)](https://agentmods.dev/instructions/asasugar/superspec/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/asasugar/superspec/agents-md"><img src="https://agentmods.dev/badge/instructions/asasugar/superspec/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,431 This file is loaded in full into every session.
When invoked 2,431 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 $0.02431 $0.02431
Opus 5 $0.01215 $0.01215
Sonnet 5 $0.00486 $0.00486
Haiku 4.5 $0.00243 $0.00243

Measured 3d ago against content hash bc5c7d615ceb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

SuperSpec 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 3d 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 · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SuperSpec — AI Agent Instructions

🚨 Before ANY Task

  1. Read configuration: superspec.config.json → get lang, specDir, boost, strategy, context
  2. Review project context:
    • Read context files (project rules/conventions)
    • Check project README, architecture docs, CONTRIBUTING.md
    • If no context configured, auto-check: .cursor/rules/, AGENTS.md, CONTRIBUTING.md
  3. Inspect current state:
    • Run /ss-status or check {specDir}/changes/ → know active changes
    • Review related changes via depends_on to avoid duplication
  4. Read current change context:
    • Determine strategy by priority: user input -c > config default
    • Read frontmatter input field → understand original user intent
    • If strategy: follow → treat context files as constraints (must follow)
    • If strategy: create → treat context files as awareness (may deviate, must justify)
  5. Never create change folders manually → use superspec create CLI or /ss-create

🧭 First Principles

# Principle Rule
I Context Economy < 300 lines per artifact, 400 hard limit. Exceeds → split. Readable in 10 min.
II Signal-to-Noise Every sentence must inform a decision. If removing it changes nothing → remove it.
III Intent Over Implementation Focus on why and what. Let how emerge during /ss-apply.
IV Progressive Disclosure Start minimal. Expand only when clarification demands it.
V Required Sections Metadata header, Problem, Solution, Success Criteria, Trade-offs.

🎯 Standard vs Boost

Standard (lightweight) Boost (enhanced)
场景 Simple tasks, bug fixes, small features Large features, breaking changes, complex designs
Artifacts proposal + checklist + tasks proposal + spec + checklist + tasks (+ design optional)
proposal 定位 需求 + 技术方案(自含,可直接拆 task) 需求背景(Goals, Risks, Impact)
spec 定位 需求细节 + 交互(US/FR/AC/Edge Cases)
Checklist 时机 proposal 后自动检查(/ 10) spec 后自动检查(/ 25)
Task granularity Flexible < 1h per task
Cross-validation Auto: US↔FR↔AC↔tasks
Edge cases Basic Comprehensive

Read the full file on GitHub · 211 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. 3d ago First seen · 211 lines · 2,431 tokens per session scan A bc5c7d615ceb

Subscribe to this mod's changes

SuperSpec AGENTS.md is an instructions file published in the GitHub repository asasugar/SuperSpec (15 stars, last pushed 5mo ago), licensed MIT. It adds 2,431 tokens to every session, about $0.0122 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 2026-08-30.