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 jamesgray-ai/handsonai-plugins --skill scaffolding-registrygit clone --depth 1 https://github.com/jamesgray-ai/handsonai-pluginsWrote 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/jamesgray-ai/handsonai-plugins/scaffolding-registry)<a href="https://agentmods.dev/skills/jamesgray-ai/handsonai-plugins/scaffolding-registry"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/scaffolding-registry/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/jamesgray-ai/handsonai-plugins/scaffolding-registry"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/scaffolding-registry.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 | $0.00155 | $0.06276 |
| Opus 5.5 | $0.00062 | $0.02510 |
| Sonnet 5.5 | $0.00031 | $0.01255 |
| Haiku 4.5 | $0.00015 | $0.00628 |
Grade A, and why
scaffolding-registry 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 4d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffolding Registry
Stand up a leader's AI Registry as an OKF v0.2 knowledge bundle: a registry/ folder with a SCHEMA.md producer profile and concept nodes for their real business. This is the on-ramp: a guided interview that captures the leader's real business, lines of business, functions, and processes. It names no workflows: the analyze skill does that next, writing them into the backlog.
What this builds
The registry lives in the working folder, the one folder that holds the leader's AI Registry (registry/), their workflows (framework/, the framework folder) and their knowledge graph (knowledge/). Where that folder is depends on where the leader works (see Where the files live below): on Claude Code and Codex it is the workspace; on the web (Claude, ChatGPT) and in Microsoft 365 Copilot (Cowork), a folder in the leader's Google Drive or OneDrive, ai-workspace/ unless they keep another; on Claude desktop, the folder the leader selects in the prompt window. The layout inside it is the same everywhere:
<working folder>/ ← the workspace on Claude Code and Codex; ai-workspace/ (or the leader's own folder) elsewhere
├── REGISTRY.md ← Tier 1 dashboard (derived, never hand-edited)
├── registry-dashboard.html ← Tier 2 visual dashboard (derived; always generated at setup)
├── registry/ ← the OKF v0.2 bundle
│ ├── SCHEMA.md ← producer profile (written by scaffolding-registry)
│ ├── index.md ← bundle root; frontmatter okf_version: "0.2"
│ ├── log.md ← setup decisions, schema changes, workflow events
│ ├── businesses/ lines-of-business/ functions/
│ ├── processes/ workflows/ notes/
│ │ (each typed directory has its own index.md)
├── framework/ ← the framework folder (made by the first step that saves a workflow, never by this skill)
│ └── <workflow>/ ← the workflow's record: requirements.md, design-plan.md,
│ build-record.md, test-results.md, with inputs/, context/
│ and history/
├── knowledge/ ← the knowledge graph, when the leader builds one (building-knowledge-graph)
├── sops/ process-guides/ ← unchanged homes; nodes link to them
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.
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.
- 4d ago Changed · +57 lines · -18 tokens per session 68ce43a0e59a
- 25d ago Changed 76b0552ee7e4
- 26d ago Changed · -3 lines 319b5cdbed2d
- 1mo ago Changed · +3 lines c2ff756a7ff2
- 1mo ago Changed · +3 lines 71a4e40bb5cb
- 1mo ago Changed e14904a78cd0
- 1mo ago Changed f472c6c242c9
- 1mo ago Changed · -2 lines 33fd572c5d11
- 1mo ago Changed · +6 lines · +39 tokens per session 31fd3e21ddd9
- 1mo ago First seen · 106 lines · 134 tokens per session scan A 9eed3028ceab
scaffolding-registry is a skill published in the GitHub repository jamesgray-ai/handsonai-plugins (8 stars, last pushed yesterday), licensed MIT. It adds 155 tokens to every session and 6,276 once invoked, about $0.0006 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.
scaffolding-registry compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| scaffolding-registryjamesgray-ai/handsonai-plugins | Skill | 8 | yesterday | MIT | A | 155 | Claude Code |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |