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 drn/dots --skill scaffoldgit clone --depth 1 https://github.com/drn/dotsWrote 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/drn/dots/scaffold)<a href="https://agentmods.dev/skills/drn/dots/scaffold"><img src="https://agentmods.dev/badge/skills/drn/dots/scaffold.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 5.1 | $0.00033 | $0.00880 |
| Opus 5 | $0.00016 | $0.00440 |
| Sonnet 5 | $0.00007 | $0.00176 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
scaffold 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 3d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold
Create boilerplate files matching the conventions of the current repository. Analyzes existing patterns before generating anything.
Arguments
$ARGUMENTS- Required: what to scaffold (e.g., "go command", "installer", "test for pkg/cache", "react component", "api endpoint")
Context
- Project type: !
find . -maxdepth 1 \( -name go.mod -o -name Gemfile -o -name package.json -o -name Cargo.toml -o -name pyproject.toml -o -name CLAUDE.md -o -name AGENTS.md \) 2>/dev/null | head -10 - Top-level structure: !
find . -maxdepth 1 -type d -not -name '.*' 2>/dev/null | head -20 - Source files: !
find . -maxdepth 3 -type f \( -name "*.go" -o -name "*.rb" -o -name "*.ts" -o -name "*.tsx" -o -name "*.py" -o -name "*.rs" \) -not -path './vendor/*' -not -path './node_modules/*' 2>/dev/null | head -30
Instructions
Step 0: Check for skill redirect
IF $ARGUMENTS mentions "skill", "slash command", or "agent skill", tell the user: "Use /write-skill for creating agent skills — it has specialized knowledge for that." and stop.
Step 1: Parse request
Extract from $ARGUMENTS:
- What: The type of thing to scaffold (command, component, test, endpoint, module, etc.)
- Name: The name for the new thing
- Location: Where it should go (infer from conventions if not specified)
IF the request is unclear, ask the user to clarify before proceeding.
Step 2: Analyze existing patterns
Find 2-3 existing examples of the same type in the codebase:
- Use Glob to find files matching the pattern (e.g., for "go command", look at
cmd/*/main.goorcli/commands/*.go). - Read the examples to extract:
- File naming convention (snake_case, camelCase, kebab-case)
- Directory structure (flat, nested, grouped)
- Import patterns and boilerplate
- Common patterns (interfaces implemented, base classes extended, hooks used)
- Test file location and naming
IF no existing examples are found, ask the user: "I could not find existing examples of in this repo. Can you point me to an example to follow, or describe the convention?"
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.
- 3d ago First seen · 96 lines · 33 tokens per session scan A 4e7362107642
scaffold is a skill published in the GitHub repository drn/dots (23 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 880 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 2026-09-03.
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