agentmods.dev

land-section-entries

land-section-entries is a skill for Claude Code, Codex from kimtth/azure-openai-llm-notes. It costs 48 tokens per session (806 once invoked), scanned A, original, no licence file.

A workflow for classifying and formatting resources from temp.md into tempentries.md, then placing staged entries into section Markdown files only when explicitly asked. It is for adding knowledge-base entries, not reorganising sections or refreshing generated lists.

In plain words
What is it for?
Use it to stage resources, format them as entries, and land them in a section file after receiving a clear request.
Why use it?
It separates preparing new entries from actually publishing them, reducing accidental changes to the knowledge base.

Skill for Claude CodeCodex

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

not rated 422repo +1 yesterday A scan 48 tokens no licence

Good fit Use it to stage resources, format them as entries, and land them in a section file after receiving a clear request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kimtth/azure-openai-llm-notes/land-section-entries
View source ↗ kimtth/azure-openai-llm-notes
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 kimtth/azure-openai-llm-notes --skill land-section-entries
Clone the repo
git clone --depth 1 https://github.com/kimtth/azure-openai-llm-notes

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 land-section-entries

README.md
[![agentmods](https://agentmods.dev/badge/skills/kimtth/azure-openai-llm-notes/land-section-entries/github.svg)](https://agentmods.dev/skills/kimtth/azure-openai-llm-notes/land-section-entries)
Your own site
<a href="https://agentmods.dev/skills/kimtth/azure-openai-llm-notes/land-section-entries"><img src="https://agentmods.dev/badge/skills/kimtth/azure-openai-llm-notes/land-section-entries/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 land-section-entries

Your own site · 80×15
<a href="https://agentmods.dev/skills/kimtth/azure-openai-llm-notes/land-section-entries"><img src="https://agentmods.dev/badge/skills/kimtth/azure-openai-llm-notes/land-section-entries.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 806 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 $0.00048 $0.00806
Opus 5.5 $0.00019 $0.00322
Sonnet 5.5 $0.00010 $0.00161
Haiku 4.5 $0.00005 $0.00081

Measured yesterday against content hash 4399e0a500f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

land-section-entries 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 yesterday.

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.

.agent/skills/land-section-entries/SKILL.md · 55 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. yesterday First seen · 55 lines · 48 tokens per session scan A 4399e0a500f6

Subscribe to this mod's changes

land-section-entries is a skill published in the GitHub repository kimtth/azure-openai-llm-notes (422 stars, last pushed yesterday), with no licence file. It adds 48 tokens to every session and 806 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 2026-11-05.

LLMProject managementWriting and docsagentai-toolsopenaiprompt-engineering
Related

land-section-entries compared with skills from other repositories

land-section-entries next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
land-section-entrieskimtth/azure-openai-llm-notesSkill422yesterdaynoneA48Claude Code, Codex
html-artifactslangchain-ai/open-sweSkill11ktodayMITA52Claude Code, Codex
web-appslangchain-ai/open-sweSkill11ktodayMITA43Claude Code, Codex
langbot-eba-adapter-devlangbot-app/LangBotSkill19kyesterdayApache-2.0A73Claude Code, Codex
ocxlidge-jun/opencodexSkill18k2d agoMITA59Claude Code, Codex
langbot-devlangbot-app/LangBotSkill19kyesterdayApache-2.0A136Claude Code, Codex
langbot-plugin-devlangbot-app/LangBotSkill19kyesterdayApache-2.0A115Claude Code, Codex