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.
npx agentmods add skills/itallstartedwithaidea/claude-googleadsagent/low-code-generationnpx skills add itallstartedwithaidea/claude-googleadsagent --skill low-code-generationgit clone --depth 1 https://github.com/itallstartedwithaidea/claude-googleadsagentWrote 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.
[](https://agentmods.dev/skills/itallstartedwithaidea/claude-googleadsagent/low-code-generation)<a href="https://agentmods.dev/skills/itallstartedwithaidea/claude-googleadsagent/low-code-generation"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/claude-googleadsagent/low-code-generation.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00029 | $0.01382 |
| Opus 5 | $0.00015 | $0.00691 |
| Sonnet 5 | $0.00006 | $0.00276 |
| Haiku 4.5 | $0.00003 | $0.00138 |
Grade A, and why
low-code-generation 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 today.
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.
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.
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.
- today First seen · 148 lines · 29 tokens per session scan A e0b7560031af
low-code-generation is a skill published in the GitHub repository itallstartedwithaidea/claude-googleadsagent (2 stars, last pushed 1mo ago), with no licence file. It adds 29 tokens to every session and 1,382 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
startup-icp-definer
Define startup ICPs with company profile, buyer persona, user persona, buying center, pain hierarchy, triggers, and targeting focus. Triggers on ICP definition, target audience, personas, buying centers, and who-to-sell-to questions.
anthropic-tool-mastery
Anthropic Tool Mastery is the definitive skill for leveraging Claude's native tooluse capability to its fullest potential.
ci-cd-pipelines
CI/CD Pipelines defines production-grade continuous integration and deployment workflows using GitHub Actions with wrangler deploy, link validation, HTML validation, and automated quality gates.
low-code-generation
Low-Code Generation uses AI to produce forms, tables, dashboards, and workflow UIs from natural language descriptions or schema definitions.
azsdk-common-pipeline-analysis
Analyze Azure SDK CI/CD pipeline failures into a structured diagnosis, and define the required output format. Load this skill before calling azsdkanalyzepipeline, which returns raw failure data that this skill interprets and formats. USE FOR: "pipeline failed", "build failure", "CI check failing", "tests failing in…
mps-aspect-actions
Use when defining or editing MPS node factories (the "actions" aspect) — NodeFactories roots, per-concept NodeFactory setup functions that initialize a freshly created node and optionally copy data from a replaced sampleNode, plus the actions aspect's CopyPasteHandlers and PasteWrappers roots. Reach for this skill…