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 skills add ytvee-dev/webdev-agent-kit --skill project-onboarding-adaptergit clone --depth 1 https://github.com/ytvee-dev/webdev-agent-kitWrote 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/ytvee-dev/webdev-agent-kit/project-onboarding-adapter)<a href="https://agentmods.dev/skills/ytvee-dev/webdev-agent-kit/project-onboarding-adapter"><img src="https://agentmods.dev/badge/skills/ytvee-dev/webdev-agent-kit/project-onboarding-adapter/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.
<a href="https://agentmods.dev/skills/ytvee-dev/webdev-agent-kit/project-onboarding-adapter"><img src="https://agentmods.dev/badge/skills/ytvee-dev/webdev-agent-kit/project-onboarding-adapter.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00033 | $0.03499 |
| Opus 5.5 | $0.00013 | $0.01400 |
| Sonnet 5.5 | $0.00007 | $0.00700 |
| Haiku 4.5 | $0.00003 | $0.00350 |
Grade A, and why
project-onboarding-adapter 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Onboarding Adapter
Purpose
Adapt this .agents bundle to a host frontend project without creating application source files. For React or Next.js, cache normal target-stack facts. For a non-target frontend project, cache only the detected stack boundary and the framework-agnostic skills that remain usable.
Onboarding must also adapt natively to the installed client target. It creates or refreshes the smallest appropriate host pointer, records client facts in local-only project/client-profile.md, and records tool capabilities in local-only project/mcp-profile.md.
Natural Language Trigger Aliases
Route adaptation, initialization, and project-context bootstrap commands here, including адаптируйся, инициализируй .agents, and Adapt this .agents bundle to my project. Full Codex onboarding includes model setup; explicit GPT requests also trigger that phase. A facts-only request does not.
When To Use
-
The user asks to check WebDev installation or diagnose inactive subagents.
-
The user explicitly requests economical GPT subagent setup or reconfiguration in a supported Codex project.
-
The user asks to adapt this bundle to a new React or Next.js project.
-
The user asks to adapt this bundle to a non-target frontend project while keeping applicable design, QA, review, lint, planning, MCP, context, and skill-authoring workflows.
-
The user asks to create or refresh the host-root pointer, native client pointer, local project overlays, MCP profile, client profile, design-reference profile, verification facts, loop memory, or path indexes.
When Not To Use
- An existing Kit needs a version update: use
webdev-kit-updater, preserving existing project overlays instead of repeating onboarding. - Ordinary screenshot-to-code implementation.
- Narrow project overlay refresh after implementation.
- Reusable skill authoring.
- Application scaffolding, package installation, or source file creation.
- Stack-specific React/Next architecture or implementation guidance for a non-target frontend project unless the user explicitly changes the supported stack.
What ships with it
8 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.
- agents/openai.yaml 555 B
- references/adaptation-checklist.md 8.0 KB
- references/claude-agent-bootstrap.md 4.6 KB
- references/codex-model-bootstrap.md 16 KB
- references/installation-diagnostics.md 3.6 KB
- references/model-workload-matrix.md 6.8 KB
- references/path-audit-checklist.md 3.4 KB
- scripts/configure_gpt_agents.py 31 KB runs code
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.
- 2d ago Changed · +24 lines · -20 tokens per session e52cc6a9029e
- 3d ago Changed · +12 lines d8492861de12
- 12d ago Changed · +16 lines · +1 tokens per session 651deba16733
- 1mo ago Changed · +11 lines · -1 tokens per session 5d9113aaa0e9
- 1mo ago Changed · +30 lines · -2 tokens per session ce23519283ea
- 1mo ago First seen · 174 lines · 55 tokens per session scan A c7af84aa115a
project-onboarding-adapter is a skill published in the GitHub repository ytvee-dev/webdev-agent-kit (7 stars, last pushed 2d ago), licensed Apache-2.0. It adds 33 tokens to every session and 3,499 once invoked, about $0.0001 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.
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