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 agentmods add skills/jhostalek/dotclaude/plannpx skills add JHostalek/dotclaude --skill plangit clone --depth 1 https://github.com/JHostalek/dotclaudeWrote 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/jhostalek/dotclaude/plan)<a href="https://agentmods.dev/skills/jhostalek/dotclaude/plan"><img src="https://agentmods.dev/badge/skills/jhostalek/dotclaude/plan.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 | $0.00017 | $0.00827 |
| Opus 5 | $0.00009 | $0.00413 |
| Sonnet 5 | $0.00003 | $0.00165 |
| Haiku 4.5 | $0.00002 | $0.00083 |
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 3d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
task = $ARGUMENTS
Create the minimum implementation-ready plan: one canonical, self-contained HTML artifact with two reading layers. The visual architecture layer is the human approval surface; the execution layer is the complete implementation plan for fresh coding agents with access to the artifact and repository.
Research until the relevant behavior, change surface, constraints, reusable patterns, decisive tradeoffs, and acceptance boundary are clear. Cite repository precedent as file:line wherever the design adopts or departs from an existing pattern. Search current vendor documentation, libraries, and open-source prior art when an unfamiliar API, new pattern, or consequential design choice could change the decision; record the decisive fact and provenance, not the research process. Resolve every material in-scope uncertainty with evidence or user input. Treat hypothetical future needs as non-goals.
<artifact_contract>
Save or update docs/plans/<type>-<short-name>.html. Do not create companion requirements, research, task, or handoff files.
Describe the reviewed target state: what must exist and why, one abstraction level above pseudocode. Exclude code, pseudocode, statement-level mechanics, placeholders, open questions, and deferred decisions. Include implementation order, task decomposition, dependencies, and witnessed or repository-derived verification commands in the execution layer.
The artifact must carry all decision context required for implementation. External links are provenance, never required context. Use semantic HTML, in-file CSS, inline SVG where useful, explicit page and text colors, and no external assets or runtime. </artifact_contract>
Visual-first review surface
The first screen is a visual nutshell: outcome, before → after, selected design, scope and non-goals, and observable acceptance. Every non-trivial plan includes at least one decision-bearing visual.
Select views by the question they answer; combine, omit, or introduce another view as the design warrants:
- before/after for changed behavior;
- component or boundary map for ownership and structure;
- sequence or flow view for interactions;
- state model for lifecycle behavior;
- wireframe for user-visible states;
- matrix for meaningful alternatives.
Visuals replace equivalent prose rather than repeat it. Keep labels, legends, and captions precise enough that each visual communicates an implementation constraint, not decoration.
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.
- 3d ago First seen · 58 lines · 17 tokens per session scan A fb714f635242
plan is a skill published in the GitHub repository JHostalek/dotclaude (11 stars, last pushed 29d ago), licensed CC0-1.0. It adds 17 tokens to every session and 827 once invoked, about $0.0001 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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