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 ashtonian/llm-init --skill plangit clone --depth 1 https://github.com/ashtonian/llm-initWrote 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/ashtonian/llm-init/plan)<a href="https://agentmods.dev/skills/ashtonian/llm-init/plan"><img src="https://agentmods.dev/badge/skills/ashtonian/llm-init/plan/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/ashtonian/llm-init/plan"><img src="https://agentmods.dev/badge/skills/ashtonian/llm-init/plan.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 | $0.00009 | $0.00335 |
| Opus 5.5 | $0.00004 | $0.00134 |
| Sonnet 5.5 | $0.00002 | $0.00067 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
plan 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.
What it actually says
Help select the right plan template and create a plan file.
Instructions
-
Read the available templates in
docs/spec/.llm/templates/:Template Use When idea.plan.llmStarting from scratch -- idea to working project fullstack.plan.llmFull-stack feature (DB -> API -> UI -> E2E) feature.plan.llmBackend-focused feature (6 phases) review.plan.llmReview/iteration cycle with quality gates bugfix.plan.llmBug investigation and fix self-review.plan.llmAudit the LLM orchestration system codegen.plan.llmSpec-first code generation (requires spec before code) requirements.plan.llmMulti-session requirement gathering to produce a spec plan.template.llmGeneric -- anything else -
Based on the user's description, recommend the best template.
-
Create the plan file:
cp docs/spec/.llm/templates/<template> docs/spec/.llm/plans/<name>.plan.llm -
Pre-fill the plan with:
- Metadata (timestamp, status: planning)
- Objective from the user's description
- Initial implementation steps
-
Present the plan to the user for review before proceeding.
Description
$ARGUMENTS
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 · 39 lines · 9 tokens per session scan A c6ceaf33ec08
plan is a skill published in the GitHub repository ashtonian/llm-init (2 stars, last pushed today), licensed MIT. It adds 9 tokens to every session and 335 once invoked, about $0.0000 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 2026-08-31.
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