Borrowing it
Nothing to install: this file belongs to causify-ai/helpers. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/causify-ai/helpers/master/.claude/skills/figure.make_professional/SKILL.mdgit clone --depth 1 https://github.com/causify-ai/helpersWrote 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/causify-ai/helpers/figure.make_professional)<a href="https://agentmods.dev/skills/causify-ai/helpers/figure.make_professional"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/figure.make_professional/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/causify-ai/helpers/figure.make_professional"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/figure.make_professional.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 | $0.00018 | $0.00889 |
| Opus 5.5 | $0.00007 | $0.00356 |
| Sonnet 5.5 | $0.00004 | $0.00178 |
| Haiku 4.5 | $0.00002 | $0.00089 |
Grade A, and why
figure.make_professional 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.
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.
Goal
- Take an existing figure (
<FILE>.tex/TikZ,<FILE>.svg,<FILE>.dot/Graphviz, or<FILE>.mmd/Mermaid) and polish it into a publication-quality figure by applying the project's figure conventions - Prove the improvement by rendering a before/after image and opening it
Workflow
Identify the Figure Type
.tex(TikZ/LaTeX source): apply.claude/skills/tikz.rules.md.svg(SVG source): apply.claude/skills/svg.rules.md.dot/.gv(Graphviz source): apply.claude/skills/graphviz.rules.md.mmd/.mermaid(Mermaid source): apply the## Mermaid Graphsection of.claude/skills/figure.rules.md- All four types also share the cross-diagram
## Color Palettein.claude/skills/figure.rules.md - If unsure which rules apply, inspect the file extension/content before proceeding: never mix rule sets on one figure
Render the Original (Before)
- Render the figure exactly as given, without any edits, to
before.png- TikZ:
> dev_scripts_helpers/dockerize/dockerized_tikz_to_bitmap.py \ -i <FILE>.tex -o before.png - SVG:
> inkscape <FILE>.svg --export-type=png --export-filename=before.png - Graphviz:
> dot -Tpng <FILE>.dot -o before.png - Mermaid:
> mmdc -i <FILE>.mmd -o before.png
- TikZ:
- Keep this file untouched: it is the baseline for the comparison at the end
Apply the Rules
- Read the relevant rules file in full and edit the source to conform to
every section, in particular:
- Layout & spacing (grid alignment, no cramped or overlapping elements; for Graphviz: rank/cluster alignment)
- Color system (restrained, semantic palette; no raw saturated colors; use
the shared palette in
figure.rules.mdunless the rules file gives a more specific one, e.g. Graphviz's flat/architecture color tables) - Typography (label-size hierarchy, sentence case, consistent font)
- Strokes & geometry (consistent line weights, consistent arrowheads/corners;
for Graphviz: edge style semantics; for Mermaid: the required
%%{init: ...}%%theme directive) - The "What NOT to Do" / anti-pattern list at the end of the rules file (Graphviz/Mermaid have no such list: instead follow every section above)
- Do not change the figure's meaning or content: only its visual execution
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 · 84 lines · 18 tokens per session scan A 588b2a3b7600
figure.make_professional is a skill published in the GitHub repository causify-ai/helpers (150 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 889 once invoked, about $0.0001 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 2026-09-13.
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