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 jmagly/aiwg --skill scaffold-addongit clone --depth 1 https://github.com/jmagly/aiwgWrote 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/jmagly/aiwg/scaffold-addon)<a href="https://agentmods.dev/skills/jmagly/aiwg/scaffold-addon"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/scaffold-addon/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/jmagly/aiwg/scaffold-addon"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/scaffold-addon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 208 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00030 | $0.01509 |
| Opus 5 | $0.00015 | $0.00754 |
| Sonnet 5 | $0.00006 | $0.00302 |
| Haiku 4.5 | $0.00003 | $0.00151 |
Grade A, and why
scaffold-addon 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 7d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold Addon
Create a complete addon package structure inside agentic/code/addons/.
Triggers
Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):
- "I need a new addon" → scaffold addon with given name
- "create an addon package" → prompt for name, scaffold
- "build a new AIWG addon" → prompt for name and description
- "new feature bundle" → clarify as addon, prompt for name
Trigger Patterns Reference
| Pattern | Example | Action |
|---|---|---|
| Named scaffold | "scaffold addon security-scanner" | Scaffold directly |
| Interactive | "scaffold addon --interactive" | Guided design mode |
| Description-driven | "create an addon for Python linting" | Derive name=python-lint, confirm |
| With description | "scaffold addon metrics --description 'Cost and token tracking'" | Scaffold with description pre-set |
Understanding Addons
Addons are self-contained feature bundles that extend AIWG without belonging to a specific lifecycle framework. Examples:
| Addon | Purpose |
|---|---|
aiwg-utils |
Core meta-utilities (this addon) |
voice-framework |
Voice profiles and writing style enforcement |
testing-quality |
Test quality validation agents |
rlm |
Reflection-learning memory patterns |
ring-methodology |
Ring-based development methodology |
Addons differ from frameworks:
- Addons: Cross-cutting feature bundles, installed alongside frameworks
- Frameworks: Complete lifecycle management systems (sdlc-complete, media-marketing-kit)
Process
1. Parse Arguments
Extract from $ARGUMENTS:
<name>— kebab-case addon name (required)--description "<text>"— short description (optional; prompted if absent)--author "<name>"— author name (optional)--interactive— enable guided design questions--core— mark as core addon (auto-installed with every AIWG install)
If <name> is missing, ask before proceeding.
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.
- 7d ago First seen · 212 lines · 30 tokens per session scan A 19038c658a9f
scaffold-addon is a skill published in the GitHub repository jmagly/aiwg (211 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 1,509 once invoked, about $0.0002 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 2026-09-05.
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