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 porcupine-md/jonggrang --skill scaffold-cligit clone --depth 1 https://github.com/porcupine-md/jonggrangWrote 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/porcupine-md/jonggrang/scaffold-cli)<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/scaffold-cli"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/scaffold-cli/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/porcupine-md/jonggrang/scaffold-cli"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/scaffold-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.01061 |
| Opus 5.5 | $0.00007 | $0.00424 |
| Sonnet 5.5 | $0.00004 | $0.00212 |
| Haiku 4.5 | $0.00002 | $0.00106 |
Grade A, and why
scaffold-cli 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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Project {{project_name}} is a CLI application using {{stack}}. You will create a new command "{{input.name}}".
Read AGENTS.md for conventions. Read existing commands to understand patterns.
Instructions
-
Analyze existing command patterns
- Read existing command files
- Identify: argument parsing library (cobra, clap, click, commander, argparse, etc.)
- Identify: command registration pattern (subcommands, router, etc.)
- Identify: output formatting (table, JSON, plain text, colored)
- Note error handling patterns (exit codes, stderr vs stdout)
-
Create command file
- Path: according to project convention
- Go (cobra):
cmd/{{input.name}}.goorinternal/cmd/{{input.name}}.go - Rust (clap):
src/commands/{{input.name}}.rs - Python (click):
src/commands/{{input.name}}.py - Node (commander):
src/commands/{{input.name}}.ts
- Go (cobra):
- Implement:
- Command definition with name, description, aliases
- Argument/flag parsing with validation
- Help text with usage examples
- Handler function with business logic
- Path: according to project convention
-
Create argument/flag definitions
- Define all required and optional flags
- Set proper types (string, bool, int, etc.)
- Add short aliases where appropriate (-o for --output)
- Set sensible defaults
- Add validation for required args
-
Register command
- Add to root command / command registry
- Ensure it shows up in
--helpoutput - Set up proper parent-child relationship for subcommands
-
Implement handler logic
- Separate business logic from CLI plumbing
- Use project's existing service/logic layer
- Handle errors gracefully with helpful messages
- Respect --quiet/--verbose flags if they exist
- Use proper exit codes (0 = success, 1 = error, 2 = usage error)
-
Create tests
- Path: according to convention
- Test cases:
- Command executes successfully with valid args
- Help text is correct
- Required args validation works
- Flag parsing works correctly
- Error cases return proper exit codes
- Output format is correct
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.
- 1mo ago First seen · 121 lines · 18 tokens per session scan A 532cb372e27d
scaffold-cli is a skill published in the GitHub repository porcupine-md/jonggrang (16 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 1,061 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 2026-08-30.
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