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-build)<a href="https://agentmods.dev/skills/lavidrori0702/tableau-dashboard-creator-skill/tableau-build"><img src="https://agentmods.dev/badge/skills/lavidrori0702/tableau-dashboard-creator-skill/tableau-build/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-build"><img src="https://agentmods.dev/badge/skills/lavidrori0702/tableau-dashboard-creator-skill/tableau-build.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 | $0.00196 | $0.04994 |
| Opus 5 | $0.00098 | $0.02497 |
| Sonnet 5 | $0.00039 | $0.00999 |
| Haiku 4.5 | $0.00020 | $0.00499 |
Grade A, and why
tableau-build 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 5d 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 — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tableau-build
Step 8 of 8, the last step, and non-skippable. It turns the approved
IMPLEMENTATION-SPEC.md into the deliverable workbook. Between the prose spec and the XML
sits one artifact: the build manifest (build-manifest.json) — the machine-readable
translation of the spec that the deterministic builder consumes. Validating the manifest is
what makes a bad translation fail before any XML exists, with the offending worksheet,
field, or element id named.
| Reads | Required: mock-version/<v_N>/IMPLEMENTATION-SPEC.md (from spec) — the construct mapping and the layout container tree; DATA-MODEL.md + data/*.csv (from data) — the fields the workbook binds to. Optional: DESIGN-TOKENS.md (styling; absent ⇒ neutral). |
| Writes | mock-version/<v_N>/build-manifest.json (build-internal) and mock-version/<v_N>/dashboard.twbx — standalone deliverable copies (CONTRACT.md §4.3). |
| STATE.md update | Sets build = approved. Nothing is downstream, so nothing goes stale. Does not touch current_version — only tableau-mock bumps it (§4.3). |
| Entry gate | Refuses to run until spec is resolved and IMPLEMENTATION-SPEC.md exists at current_version, and data is resolved and DATA-MODEL.md plus at least one CSV exist (CONTRACT.md §4.1). |
| Next step | None — the pipeline is complete (tableau-route confirms). |
The mechanical guarantees live in Python: the entry gate, the manifest schema validation and
the STATE.md transition in build.py / manifest.py, the workbook shell in twb.py, and
every chart template in worksheet.py — the element order, the generated ids, the four
places every column must appear, the mark class and shelves per chart type, the live-only
connection and the version targeting are code, not a checklist, so a validated manifest
builds a workbook that is correct by construction. Your job is the judgment part: translating
each spec row into the right manifest entry. Run the script at the points below; do not
hand-edit STATE.md or the generated XML.
What ships with it
18 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.
- references/BUILD-MANIFEST-TEMPLATE.md 24 KB
- references/snippets/dashboard/CLEAR-OPTION-ATTESTATION.md 7.1 KB
- references/snippets/dashboard/parameter-action.twb 43 KB
- references/snippets/worksheets/SHEET-FORMAT-ATTESTATION.md 9.8 KB
- references/snippets/worksheets/TABLE-CALCS.md 9.3 KB
- references/snippets/worksheets/table-calculations-attestation.twb 275 KB
- references/xsd/twb_2026.1.0.xsd 290 KB
- references/xsd/user.xsd 353 B
- references/xsd/xml.xsd 1.0 KB
- scripts/build.py 45 KB runs code
- scripts/features.py 20 KB runs code
- scripts/manifest.py 64 KB runs code
- scripts/twb.py 59 KB runs code
- scripts/validate_conformance.py 8.8 KB runs code
- scripts/validate_twb_xsd.py 5.6 KB runs code
- scripts/validate_twb.py 26 KB runs code
- scripts/worksheet.py 86 KB runs code
- scripts/zones.py 30 KB runs code
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.
- 5d ago Changed 3e8074ca4264
- 6d ago Changed · +7 lines 7682f455aefd
- 10d ago First seen · 277 lines · 196 tokens per session scan A 2197a65169de
tableau-build is a skill published in the GitHub repository laviDrori0702/tableau-dashboard-creator-skill (21 stars, last pushed 6d ago), licensed MIT. It adds 196 tokens to every session and 4,994 once invoked, about $0.0010 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.
Other skills, from other repositories
create-custom-grader
Use when converting an existing benchmark, rubric, verifier, task YAML/JSON, or domain check into SkillEvaluator BYOG/BYOT custom evaluation.
agent-ready-cloudflare
Audit and improve website readiness for AI agents using the Cloudflare "Is It Agent Ready?" scanner (isitagentready.com). Covers scanning via API, interpreting results, generating implementation prompts, and fixing every check. Use when the user mentions "agent ready", "isitagentready", "AI agent scan", "agent…
aidlc-master
Runs the AWS AI-DLC (AI-Driven Development Life Cycle) methodology end to end: an adaptive three-phase workflow (Inception → Construction → Operations) with human approval gates, a full audit trail, and all artifacts in aidlc-docs/. Use when the user says "Using AI-DLC", "AI-DLC", "AIDLC", "aidlc-master", or asks for…
slop-eval
Objectively evaluate a UI/web design against the pols.dev anti-slop design law: detect catalogued slop tells with cited evidence, score 8 weighted axes (color, type, components, layout, motion, execution, signature, cohesion), and emit a Slop Report with a 0–100 Slop Index and grade. Use when the user asks to…
security-specialist
Runs security audits on codebases — full scans, diff reviews, threat models, vulnerability triage, remediation guidance, and finding tracking. Activate when the user says "security scan", "audit this repo", "review this PR for security", "threat model", "triage vulnerabilities", "fix this vuln", or "track findings".
ralph-loop-kiro-specs
Automated iterative agent runner for spec-based development in Kiro. Wraps kiro-cli in a self-correcting bash loop that picks up tasks from a Kiro spec, implements them one at a time, verifies against exit criteria, and accumulates corrections and codebase patterns across iterations. Use this skill when the user…