Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ramboz/jig/plugin install jigWrote 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/ramboz/jig/scaffold-init)<a href="https://agentmods.dev/skills/ramboz/jig/scaffold-init"><img src="https://agentmods.dev/badge/skills/ramboz/jig/scaffold-init.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 | $0.00085 | $0.02182 |
| Opus 5 | $0.00043 | $0.01091 |
| Sonnet 5 | $0.00017 | $0.00436 |
| Haiku 4.5 | $0.00009 | $0.00218 |
Grade C, and why
scaffold-init scanned grade C with 1 finding 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 5d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
`git reset --hard`, `rm -rf`). Hosts with no project-scoped permission surface How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec 001 is fully implemented: greenfield-scaffold, doc-content, signal-detection, deferred-decisions, and Q&A wizard. See docs/specs/001-scaffold-init/spec.md.
What this skill does
Generates an AI-native development workspace by copying templates from
${CLAUDE_PLUGIN_ROOT}/templates/ into a target directory. Detects project
signals from the filesystem (LLM/agent files, CI, tests, team), runs an optional
Q&A flow to let the user override those signals, and selects tiers accordingly.
Tier 0 always installs; Tier 1 installs when test signals are present; Tier 2
is offered (not auto-installed) when LLM/agent signals are present.
How to use
- Determine the target directory. Default: the current working directory. If you're unsure, ask the user once before scaffolding.
- Check if the target already has a
scaffold.jsonordocs/specs/— if so, the project is already scaffolded. Stop and tell the user rather than overwriting. - Run the Q&A flow (see next section). Collect answers as flag values.
- Invoke the wizard with the collected flags:
With no machinery flag the wizard scaffolds plugin mode — the lean default (docs + primer only; jig runs from the installed plugin). Passpython3 "${CLAUDE_PLUGIN_ROOT}/skills/scaffold-init/scaffold.py" \ [--runtime <name>] [--team|--solo] [--has-ci|--no-ci] \ [--has-tests|--no-tests] [--plans-ai|--no-ai] \ [--in-repo] \ <target-dir>--in-repoonly when the sixth question is answered "yes". - Read the wizard's stdout summary and report back to the user. List the files that were created and the immediate next steps.
Codex custom-agent install
Codex scaffold mode (--host codex) writes project-local custom agents as
TOML under .codex/agents/. For Codex plugin users who want jig's role agents
globally available, run the explicit post-install helper:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/scaffold-init/scaffold.py" --install-codex-agents
What ships with it
3 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.
- 5d ago First seen · 165 lines · 85 tokens per session scan C a8a6ea18d72a
scaffold-init is a skill published in the GitHub repository ramboz/jig (6 stars, last pushed 5d ago), licensed MIT. It adds 85 tokens to every session and 2,182 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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setup
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.codex
Skill ".codex" from knitli/toolshed, covering context hygiene skill, name, description, instructions and 1. discovery.
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Manage stacked branches and pull requests with the gh-stack GitHub CLI extension. Use when the user wants to create, push, rebase, sync, navigate, or view stacks of dependent PRs. Triggers on tasks involving stacked diffs, dependent pull requests, branch chains, or incremental code review workflows.
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Dispatch and execute implementation plans with TDD and checkpoints. Use when plan is ready. Parallel by default for independent tasks.