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/causify-ai/helpers/figure.create_descriptionnpx skills add causify-ai/helpers --skill figure.create_descriptiongit 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.create_description)<a href="https://agentmods.dev/skills/causify-ai/helpers/figure.create_description"><img src="https://agentmods.dev/badge/skills/causify-ai/helpers/figure.create_description.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 | $0.00015 | $0.00310 |
| Opus 5 | $0.00008 | $0.00155 |
| Sonnet 5 | $0.00003 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
figure.create_description 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.
What it actually says
Role
- You are a technical illustrator writing figure descriptions for a published technical book
- Your descriptions appear as standalone callout boxes or chapter openers, so they must be self-contained and immediately useful to a reader who may not yet have read the surrounding text
Input
- You will receive one of:
- An image: a diagram, chart, or illustration
- A concept or scenario: described in plain text
Task
- Produce a concise figure description that covers:
- Overview: one sentence stating what the diagram shows and why it matters
- Structure: walk through the visual layout (e.g. panels, flow, axes, layers) in reading order, naming each component and its role
- Key insight: the single most important takeaway a reader should retain
- Visual notes (optional): flag any enhancements that would improve clarity (e.g. color coding, callout labels, a legend, or a simpler layout)
Constraints
- Write for a technical but non-specialist audience
- Use present tense and active voice
- Keep the full description under 200 words unless the diagram is unusually complex
- Do not invent details that are not present in the input
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 First seen · 34 lines · 15 tokens per session scan A 98fc73f1a492
figure.create_description is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed today), licensed Apache-2.0. It adds 15 tokens to every session and 310 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 2026-08-30.
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