application-patterns-wave-05

application-patterns-wave-05 is an agent for coding agents from AgentsKit-io/agentskit-registry. It costs 0 tokens per session (2,567 once invoked), scanned A, original, MIT.

A collection of example workflows for AI agents, covering areas such as content, commerce, education, finance, insurance, legal work, productivity, and security. The examples use made-up input and are intended for inspection rather than proof of real-world results.

In plain words
What is it for?
Use it to inspect example agent patterns, run their tests, review typed results and evidence boundaries, and identify possible follow-up contributions.
Why use it?
It gives developers starting points for exploring agent workflows while showing source evidence, missing information, and where human review is needed. It also makes clear that generated results should not be treated as professional or operational decisions.

Agent

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 agents/agentskit-io/agentskit-registry/application-patterns-wave-05
Clone the repo
git clone --depth 1 https://github.com/AgentsKit-io/agentskit-registry

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 application-patterns-wave-05

README.md
[![agentmods](https://agentmods.dev/badge/agents/agentskit-io/agentskit-registry/application-patterns-wave-05.svg)](https://agentmods.dev/agents/agentskit-io/agentskit-registry/application-patterns-wave-05)
Your own site
<a href="https://agentmods.dev/agents/agentskit-io/agentskit-registry/application-patterns-wave-05"><img src="https://agentmods.dev/badge/agents/agentskit-io/agentskit-registry/application-patterns-wave-05.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,567 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00000 $0.02567
Opus 5 $0.00000 $0.01283
Sonnet 5 $0.00000 $0.00513
Haiku 4.5 $0.00000 $0.00257

Measured 3d ago against content hash 4b429bf7c2be, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

application-patterns-wave-05 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.

docs/agents/application-patterns-wave-05.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Application patterns — Wave 05

Wave 05 adds practical content, commerce, education, finance, people, insurance, legal, productivity, and security workflows. Every pattern below uses synthetic input and is a starting point for inspection, not evidence of customer impact, professional advice, fraud detection accuracy, policy compliance, or production readiness.

Shared run contract

npx agentskit add <agent-id>
npm test -- --run registry/<agent-id>/agent.test.ts

Use a configured adapter or the credential-free demo path where supported. Inspect the typed result, source evidence, missing context, and review requirement. Never treat a generated result as a financial, insurance, employment, legal, educational, security, scheduling, or customer-communication decision.

Content, commerce, and education

Blog Outline — evidence slots before prose

  • Agent: content-blog-outline
  • Try: Outline a synthetic article from audience, thesis, supplied sources, counterpoints, and a desired call to action. Mark every evidence slot.
  • Inspect: structure, audience fit, source boundaries, unanswered questions, and unsupported claims.
  • Next contribution: add a fixture where the thesis conflicts with one supplied source and require a clarification section.
  • Human boundary: an editor owns research, claims, tone, rights, accessibility, and final publication.

Translation Localizer — preserve meaning and placeholders

  • Agent: content-translation-localizer
  • Try: Localize synthetic product copy into a supplied locale while preserving placeholders, units, terminology, links, and unresolved cultural notes.
  • Inspect: placeholder integrity, meaning preservation, glossary consistency, locale assumptions, and human review flags.
  • Next contribution: add a fixture with gendered wording, pluralization, and a non-translatable product name.
  • Human boundary: a qualified language reviewer validates nuance, legal wording, accessibility, and market suitability.

Read the full file on GitHub · 177 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 · 177 lines · 0 tokens per session scan A 4b429bf7c2be

Subscribe to this mod's changes

application-patterns-wave-05 is an agent published in the GitHub repository AgentsKit-io/agentskit-registry (5 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,567 tokens. 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.