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 ur-grue/autopunk-media-skills --skill chart-type-advisorgit clone --depth 1 https://github.com/ur-grue/autopunk-media-skillsWrote 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/ur-grue/autopunk-media-skills/chart-type-advisor)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/chart-type-advisor"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/chart-type-advisor/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/ur-grue/autopunk-media-skills/chart-type-advisor"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/chart-type-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.01121 |
| Opus 5 | $0.00017 | $0.00561 |
| Sonnet 5 | $0.00007 | $0.00224 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
chart-type-advisor 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 11d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chart type advisor
What this skill does
Recommends the most effective chart type for your data and editorial goal, explains why it works, and warns you about common misrepresentations.
When to use this skill
- You have data and a story but aren't sure how to visualize it
- Your editor asks "what's the best way to show this?" and you need a quick, defensible answer
- You want to avoid the default bar chart when something more precise exists
- You are reviewing a graphic before publication and want to check if the chart type matches the claim
What you need to provide
Required:
- What the data measures (e.g., "unemployment rates across EU countries over 10 years")
- What point you want the reader to take away (e.g., "Germany's rate recovered faster than France's")
Optional:
- Number of data points or categories
- Whether the data is time-series, categorical, geographic, or relational
- Publication format (print, web, social — affects complexity)
- Any house style constraints (e.g., "we never use pie charts")
How the Assistant Approaches This
- Identifies the data type (time-series, comparison, distribution, composition, relationship, geographic)
- Maps the editorial goal to the chart types that serve it best
- Recommends a primary chart type with a brief explanation of why it works
- Offers one alternative if the primary has trade-offs
- Flags misrepresentation risks — cases where the recommended chart could mislead if axes, baselines, or scales are handled carelessly
Output format
A short recommendation (under 300 words) structured as:
- Recommended chart type with one-sentence rationale
- Why this works (2–3 sentences linking the data structure to the visual encoding)
- Alternative if the primary has limitations
- Watch out for — one or two specific misrepresentation risks for this chart type and data combination
No code. No tool recommendations. Just the editorial decision.
Quality criteria
- The recommended chart type matches the data structure and editorial goal
- The rationale explains WHY this type works, not just WHAT it is
- At least one misrepresentation risk is identified and explained
- The recommendation is specific enough to brief a graphics desk or tool operator
- Alternatives are genuine options, not padding
What ships with it
1 file 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.
- 11d ago First seen · 84 lines · 34 tokens per session scan A 4b8bf8258f22
chart-type-advisor is a skill published in the GitHub repository ur-grue/autopunk-media-skills (30 stars, last pushed 11d ago), licensed MIT. It adds 34 tokens to every session and 1,121 once invoked, about $0.0002 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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