openspec-propose

openspec-propose is a skill for Codex from AlekseiSeleznev/intent-driven-codex. It costs 47 tokens per session (2,355 once invoked), scanned A, original, no licence file.

A proposal-writing skill for OpenSpec, a format for describing planned software changes before implementation.

In plain words
What is it for?
Use it when you want a complete, implementation-ready proposal for a new feature or other software change.
Why use it?
It avoids having to assemble the design, specifications, and implementation tasks separately after describing a change.

Skill for Codex

Written for Codex: installed under .codex/.

Good fit Use it when you want a complete, implementation-ready proposal for a new feature or other software change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alekseiseleznev/intent-driven-codex/openspec-propose
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.

Any agent
npx skills add AlekseiSeleznev/intent-driven-codex --skill openspec-propose
Clone the repo
git clone --depth 1 https://github.com/AlekseiSeleznev/intent-driven-codex

Made for: Codex.

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 openspec-propose

README.md
[![agentmods](https://agentmods.dev/badge/skills/alekseiseleznev/intent-driven-codex/openspec-propose/github.svg)](https://agentmods.dev/skills/alekseiseleznev/intent-driven-codex/openspec-propose)
Your own site
<a href="https://agentmods.dev/skills/alekseiseleznev/intent-driven-codex/openspec-propose"><img src="https://agentmods.dev/badge/skills/alekseiseleznev/intent-driven-codex/openspec-propose/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for openspec-propose

Your own site · 80×15
<a href="https://agentmods.dev/skills/alekseiseleznev/intent-driven-codex/openspec-propose"><img src="https://agentmods.dev/badge/skills/alekseiseleznev/intent-driven-codex/openspec-propose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,355 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00047 $0.02355
Opus 5.5 $0.00019 $0.00942
Sonnet 5.5 $0.00009 $0.00471
Haiku 4.5 $0.00005 $0.00235

Measured 1mo ago against content hash 375878c36de4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openspec-propose 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 1mo 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.

.codex/skills/openspec-propose/SKILL.md · 142 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago First seen · 142 lines · 47 tokens per session scan A 375878c36de4

Subscribe to this mod's changes

openspec-propose is a skill published in the GitHub repository AlekseiSeleznev/intent-driven-codex (6 stars, last pushed 4mo ago), with no licence file. It adds 47 tokens to every session and 2,355 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

research-topic-compiler

A research-planning skill that turns a product question or vague idea into a structured investigation. It gathers and organizes evidence about competitors, alternatives, users, markets, and industry practices, with notes that can be kept in Obsidian, a note-taking app.

PANGKAIFENG/ai-product-manager-skills · 319 tokens

prd-architect

A product-requirements-document writing skill that turns an idea, rough requirement, or feature description into a structured plan. A PRD is a document describing what should be built, why, and how the result should behave.

PANGKAIFENG/ai-product-manager-skills · 196 tokens

complex-exploration

A decision-focused research process for finding evidence and choosing between options, such as technologies, platforms, products or business directions.

PANGKAIFENG/ai-product-manager-skills · 160 tokens

brainstorming

A structured brainstorming process for choosing a product or implementation approach before writing requirements, designing mockups or planning development.

PANGKAIFENG/ai-product-manager-skills · 171 tokens

decision-research

A process for exploring complex, uncertain product or business questions and turning the reasoning into reusable knowledge and methods.

PANGKAIFENG/ai-product-manager-skills · 335 tokens

prd-to-issues

A planning skill that turns an existing product requirements document, or PRD, into small GitHub Issues that developers can implement and verify. It groups work into complete user-facing slices instead of separate front-end, back-end, testing, and documentation tasks.

PANGKAIFENG/ai-product-manager-skills · 147 tokens