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 laviDrori0702/tableau-dashboard-creator-skill/plugin install tableau-dashboard-pluginWrote 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/lavidrori0702/tableau-dashboard-creator-skill/tableau-plan)<a href="https://agentmods.dev/skills/lavidrori0702/tableau-dashboard-creator-skill/tableau-plan"><img src="https://agentmods.dev/badge/skills/lavidrori0702/tableau-dashboard-creator-skill/tableau-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/lavidrori0702/tableau-dashboard-creator-skill/tableau-plan"><img src="https://agentmods.dev/badge/skills/lavidrori0702/tableau-dashboard-creator-skill/tableau-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 | $0.00145 | $0.02179 |
| Opus 5 | $0.00072 | $0.01090 |
| Sonnet 5 | $0.00029 | $0.00436 |
| Haiku 4.5 | $0.00015 | $0.00218 |
Grade A, and why
tableau-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 4d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tableau-plan
Step 5 of 8, and non-skippable. It turns the request and the data model into a
strict, complete DASHBOARD-PLAN.md — the single blueprint tableau-mock (the HTML
demo) and, downstream, tableau-build (the .twb) build against. The plan is
deliberately strict so the mock can never silently drop a requirement: screen size,
the layout grid, and every element/filter/interaction are pinned down here, each with a
stable id that later steps reference.
| Reads | Required: DATA-MODEL.md (from data) — the real field names to plan against. Optional (enrich, never block): PRD.md (from intake; falls back to root DASHBOARD-REQUEST.md, then the scaffold/ demo) and DESIGN-TOKENS.md (from brand; absent ⇒ neutral styling). |
| Writes | DASHBOARD-PLAN.md at the project root (latest approved truth; overwritten in place). |
| STATE.md update | Sets plan = approved; flips every downstream approved step (mock/spec/build) to stale on a re-run (CONTRACT.md §4.2). |
| Entry gate | Refuses to run until data is resolved and DATA-MODEL.md exists (CONTRACT.md §4.1). |
| Next step | tableau-mock (or tableau-route to confirm). |
The mechanical guarantees — the entry gate, the strict-schema check (required sections,
stable unique ids, shared interaction vocabulary), and the STATE.md transition — live in
plan.py, this skill's executable mirror of the contract. Your job is the judgment part:
designing a layout that fits the request and the screen, mapping elements to real fields,
and proposing extra value beyond what was asked. Run the script at the points below;
do not hand-edit STATE.md.
How to run
-
Precheck. From the project directory, run:
python "${CLAUDE_PLUGIN_ROOT}/skills/tableau-plan/scripts/plan.py" precheck "<project-dir>"(Use
python3ifpythonis unavailable.) If it prints[BLOCKED], relay the reason and stop — the analyst must runtableau-datafirst (plan needsDATA-MODEL.md). Otherwise note its signals: whether aDASHBOARD-PLAN.mdalready exists (refine vs overwrite), the requirements source (PRD.md, the raw request, thescaffold/demo, or none), and whetherDESIGN-TOKENS.mdis present.
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.
- 4d ago Changed 44cb423f170a
- 10d ago First seen · 138 lines · 145 tokens per session scan A 38be09e724de
tableau-plan is a skill published in the GitHub repository laviDrori0702/tableau-dashboard-creator-skill (21 stars, last pushed 5d ago), licensed MIT. It adds 145 tokens to every session and 2,179 once invoked, about $0.0007 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 2026-08-30.
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