developing-software

developing-software is a skill for Claude Code, Codex from qaml-ai/camelAI. It costs 85 tokens per session (1,707 once invoked), scanned A, original, MIT.

A software-building guide for creating, testing, and deploying websites, APIs, games, dashboards, and AI apps with camelAI projects on Cloudflare Workers.

In plain words
What is it for?
Scaffolding and modifying camelAI applications, including their routes, data structures, validation, interfaces, and deployment.
Why use it?
It gives the coding agent a defined workflow for choosing a starter, adapting it to the requested product, and publishing the result.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Scaffolding and modifying camelAI applications, including their routes, data structures, validation, interfaces, and deployment.

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Install with agentmods
npx agentmods add skills/qaml-ai/camelai/developing-software
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 qaml-ai/camelAI --skill developing-software
Clone the repo
git clone --depth 1 https://github.com/qaml-ai/camelAI

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 developing-software

README.md
[![agentmods](https://agentmods.dev/badge/skills/qaml-ai/camelai/developing-software/github.svg)](https://agentmods.dev/skills/qaml-ai/camelai/developing-software)
Your own site
<a href="https://agentmods.dev/skills/qaml-ai/camelai/developing-software"><img src="https://agentmods.dev/badge/skills/qaml-ai/camelai/developing-software/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 developing-software

Your own site · 80×15
<a href="https://agentmods.dev/skills/qaml-ai/camelai/developing-software"><img src="https://agentmods.dev/badge/skills/qaml-ai/camelai/developing-software.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,707 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00085 $0.01707
Opus 5.5 $0.00034 $0.00683
Sonnet 5.5 $0.00017 $0.00341
Haiku 4.5 $0.00009 $0.00171

Measured 1mo ago against content hash 0f03a7ab13d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

developing-software 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.

sandbox/skills/developing-software/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Developing Software

Read this file completely once per task before the first create_project call. Do not reread it during the same task unless the instructions change. Read a reference below with read_skill({ skill: "developing-software", file: "<filename>" }); do not use the generic project/workspace file tools for skill files.

Workflow

  1. Choose the template for the dominant user experience.
  2. Create the project with a concise description and an explicit template.
  3. Inspect the seeded files before editing. Treat the scaffold as working architecture, not disposable sample code.
  4. Reshape the starter into the requested product. Rename the example entity, schema, routes, actions, validation, and UI copy consistently instead of adding a second implementation beside the demo.
  5. In React Router projects, add standard UI through add_shadcn_component; do not hand-write components or page shells that the bundled registry provides. In vanilla projects, work directly in public/.
  6. Use deploy_project directly to build, publish, return the live URL, and open the app in preview. No manual set_preview or list_apps call is needed afterward; set_preview remains available when you explicitly want to reopen or switch previews. Pass dry_run: true only when the user explicitly wants validation without publishing.
  7. Treat a successful deploy as sufficient completion evidence for routine build-and-ship requests. Do not automatically launch env.BROWSER or capture screenshots after every deploy. Use browser or visual verification only when the user asks for it, the task is specifically diagnosing a deployed UI/runtime issue, or the task explicitly requires browser evidence.

Use camelAI project tools for scaffolding, dependencies, builds, and deploys. Do not run create-worker, wrangler init, npm create cloudflare, package-manager deploy commands, or shell-based scaffolding.

Template Selection

Template Choose when
crud The product is primarily a stateful app, admin tool, tracker, portal, or workflow. This is the default and includes React Router loaders/actions plus Durable Object SQLite CRUD.
vanilla The experience is client-only plain HTML/CSS/JavaScript: a small site, landing page, calculator, quiz, interactive demo, or simple DOM/canvas game. Prefer crud when it needs accounts, durable server records, a shared leaderboard, or multiplayer state.
ai-chat Conversation or direct model interaction is the primary experience. An otherwise stateful app with one AI-assisted feature should normally remain crud and add the AI binding.
integration-dashboard Discovering, monitoring, or operating workspace-connected SaaS/database services is central. If connections only provide business metrics, prefer data-dashboard.
data-dashboard Users interact with KPIs, filters, charts, tables, exports, or drill-downs.
data-analysis The deliverable is a notebook-first, read-only analytical report. Use the data-analysis skill and run_notebook; do not treat it like a React app.

Read the full file on GitHub · 93 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 93 lines · 85 tokens per session scan A 0f03a7ab13d9

Subscribe to this mod's changes

developing-software is a skill published in the GitHub repository qaml-ai/camelAI (390 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 1,707 once invoked, about $0.0003 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 2026-08-30.

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