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intent-framing

intent-framing is a skill for Claude Code, Codex from yama-kei/intentlayer-skills. It costs 44 tokens per session (828 once invoked), scanned A, original, no licence file.

A planning skill for identifying the system rules that may affect a significant change before code is written.

In plain words
What is it for?
It is for reviewing non-trivial implementation changes and identifying which system intents are involved or at risk.
Why use it?
It helps prevent work from violating declared goals or constraints in the code, data structure, user experience, or system behavior.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 2repo 7mo ago A scan 44 tokens no licence

Good fit It is for reviewing non-trivial implementation changes and identifying which system intents are involved or at risk.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yama-kei/intentlayer-skills/intent-framing
View source ↗ yama-kei/intentlayer-skills
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 yama-kei/intentlayer-skills --skill intent-framing
Clone the repo
git clone --depth 1 https://github.com/yama-kei/intentlayer-skills

Made for: Claude Code, 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 intent-framing

README.md
[![agentmods](https://agentmods.dev/badge/skills/yama-kei/intentlayer-skills/intent-framing/github.svg)](https://agentmods.dev/skills/yama-kei/intentlayer-skills/intent-framing)
Your own site
<a href="https://agentmods.dev/skills/yama-kei/intentlayer-skills/intent-framing"><img src="https://agentmods.dev/badge/skills/yama-kei/intentlayer-skills/intent-framing/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 intent-framing

Your own site · 80×15
<a href="https://agentmods.dev/skills/yama-kei/intentlayer-skills/intent-framing"><img src="https://agentmods.dev/badge/skills/yama-kei/intentlayer-skills/intent-framing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 828 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 $0.00044 $0.00828
Opus 5.5 $0.00018 $0.00331
Sonnet 5.5 $0.00009 $0.00166
Haiku 4.5 $0.00004 $0.00083

Measured 2mo ago against content hash 6c4a283a2375, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

intent-framing 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.

skills/intent-framing/SKILL.md · 105 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 2mo ago First seen · 105 lines · 44 tokens per session scan A 6c4a283a2375

Subscribe to this mod's changes

intent-framing is a skill published in the GitHub repository yama-kei/intentlayer-skills (2 stars, last pushed 7mo ago), with no licence file. It adds 44 tokens to every session and 828 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.

Planning
Related

intent-framing compared with skills from other repositories

intent-framing next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
intent-framingyama-kei/intentlayer-skillsSkill27mo agononeA44Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code