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 product-on-purpose/agent-skills-toolkit --skill askit-init-plugingit clone --depth 1 https://github.com/product-on-purpose/agent-skills-toolkitWrote 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/product-on-purpose/agent-skills-toolkit/askit-init-plugin)<a href="https://agentmods.dev/skills/product-on-purpose/agent-skills-toolkit/askit-init-plugin"><img src="https://agentmods.dev/badge/skills/product-on-purpose/agent-skills-toolkit/askit-init-plugin/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/product-on-purpose/agent-skills-toolkit/askit-init-plugin"><img src="https://agentmods.dev/badge/skills/product-on-purpose/agent-skills-toolkit/askit-init-plugin.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 | $0.00053 | $0.00982 |
| Opus 5 | $0.00026 | $0.00491 |
| Sonnet 5 | $0.00011 | $0.00196 |
| Haiku 4.5 | $0.00005 | $0.00098 |
Grade A, and why
askit-init-plugin 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 9d 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 — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.
askit-init-plugin
Purpose
Onboard a maintainer and scaffold a starting point that is gradeable from the first commit. Three modes: interview runs a live conversational Q&A, then scaffolds; questionnaire emits the structured onboarding template (with per-section maintainer-feedback and agent-response blocks) for the maintainer to fill async, then processes it; hybrid pre-fills that questionnaire with suggestions from chat context, still leaving the feedback blocks. All three scaffold the Bronze seed anatomy from templates/seed-plugin/ (library.json with the five required fields + AGENTS.md + a minimal .claude-plugin/plugin.json (name, version, description only, ADR 0043) + README/CHANGELOG starters) so the new plugin passes the conformance core immediately AND installs on Claude Code and Codex from the first commit. Fill name/description identically in library.json and .claude-plugin/plugin.json, or U8 (manifest-drift) warns on the mismatch. interview mode additionally asks for an optional author, so a plugin scaffolded that way carries a real attribution and passes claude plugin validate --strict outright; declining leaves the manifest exactly as minimal as the template, still --strict-warning and correctly so (ADR 0043). Mode and anatomy detail are in references/onboarding-modes.md.
When to use
When starting a brand-new plugin from scratch, onboarding a maintainer, or generating a scaffolding questionnaire. (To adopt an EXISTING repo instead, use askit-migrate.)
interview mode
- Ask the maintainer the onboarding questions live (theme/scope, target agents, target tier, first components, and an optional author: a name, and optionally a url/email).
- Synthesize a starting config and scaffold from
templates/seed-plugin/, fillingname/descriptionin BOTHlibrary.jsonand.claude-plugin/plugin.json(the same values in both) andAGENTS.md. If the maintainer supplied an author, addauthor: { name, [url], [email] }(onlynameis required by the vendor's schema) to BOTHlibrary.json(its existing OPTIONAL field, Standard sec 5.1, so a later Silver-tier regeneration viagen-manifest.mjsdoes not silently drop it) and.claude-plugin/plugin.json. If the maintainer declined or skipped, emit NOauthorkey in either file - never a placeholder (ADR 0043; the same class of defect U5 already penalizes in descriptions). - Hand off:
askit-build-skillfor the first skill,askit-build-docsfor docs,askit-evaluateto confirm Bronze.
What ships with it
2 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.
- 9d ago First seen · 33 lines · 53 tokens per session scan A 42849ce83062
askit-init-plugin is a skill published in the GitHub repository product-on-purpose/agent-skills-toolkit (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 53 tokens to every session and 982 once invoked, about $0.0003 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 2026-08-31.
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