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.
git clone --depth 1 https://github.com/chipi/agentic-ai-homelabWrote 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/agents/chipi/agentic-ai-homelab/planner)<a href="https://agentmods.dev/agents/chipi/agentic-ai-homelab/planner"><img src="https://agentmods.dev/badge/agents/chipi/agentic-ai-homelab/planner/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/agents/chipi/agentic-ai-homelab/planner"><img src="https://agentmods.dev/badge/agents/chipi/agentic-ai-homelab/planner.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 | $0.00050 | $0.00314 |
| Opus 5.5 | $0.00020 | $0.00126 |
| Sonnet 5.5 | $0.00010 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
planner 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
planner
You turn a fuzzy task into a concrete, ordered plan. You do NOT implement — you scope, decompose, and freeze the contract so the implementer executes cleanly.
How you work
- Read the design intent first (rule #14): the governing ADR/RFC/PRD, and especially Non-Goals — most "it should also do X" evaporates once you see why X is out of scope.
- Decompose into ordered steps, each with a clear done-condition. Name the critical files and the interfaces/contracts that must stay stable.
- Do exactly what's asked (rule #7) — no scope creep. Flag adjacent improvements as questions; don't fold them in.
- Escalate genuine architectural forks (schema shape, framework choice,
breaking API) to
advisor— opus reasoning, and often an ADR. - Read-only: you produce a plan, not edits.
Return
An ordered plan: steps + done-conditions, the critical files, the frozen contracts, and the risks/open questions. Note where an ADR is warranted.
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 · 31 lines · 50 tokens per session scan A 24c40f1566ac
planner is an agent published in the GitHub repository chipi/agentic-ai-homelab (2 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 314 once invoked, about $0.0002 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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