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/jaechang-hits/sciagent-skills/plotly-interactive-plotsnpx skills add jaechang-hits/SciAgent-Skills --skill plotly-interactive-plotsgit clone --depth 1 https://github.com/jaechang-hits/SciAgent-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/jaechang-hits/sciagent-skills/plotly-interactive-plots)<a href="https://agentmods.dev/skills/jaechang-hits/sciagent-skills/plotly-interactive-plots"><img src="https://agentmods.dev/badge/skills/jaechang-hits/sciagent-skills/plotly-interactive-plots.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 5.1 | $0.00105 | $0.09920 |
| Opus 5 | $0.00053 | $0.04960 |
| Sonnet 5 | $0.00021 | $0.01984 |
| Haiku 4.5 | $0.00011 | $0.00992 |
Grade A, and why
plotly-interactive-plots 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 6d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago First seen · 838 lines · 105 tokens per session scan A 5e65a68779b0
plotly-interactive-plots is a skill published in the GitHub repository jaechang-hits/SciAgent-Skills (360 stars, last pushed 8d ago), with no licence file. It adds 105 tokens to every session and 9,920 once invoked, about $0.0005 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
primekg
Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological relationships across genes and proteins, drugs, diseases, phenotypes, pathways, biological processes, exposures and anatomy. Use this skill to search entities by name, pull direct neighbours and their evidence types, summarise the local…
fragment-based-count-matrix-generation
Use when you have a backed AnnData object containing processed fragment data (stored in .obsm['fragmentpaired'] or .
methylbase-object-handling
Use when after reading in per-sample methylation call files with methRead() and obtaining methylRawList objects, but before calculating differential methylation or performing annotation.
motif-annotation-correlation-analysis
Use when you have a chromVARDeviations object with multiple annotation sets (such as JASPAR motifs and kmers) and need to determine which annotation pairs are redundant (high correlation) versus synergistic (high synergy z-scores).
motif-database-query-and-matching
Use when you have a set of differentially accessible peaks (output from differential accessibility testing, e.g., tl.
motif-enrichment-statistical-testing
Use when after identifying a set of differentially accessible peaks (via tl.difftest or equivalent), when you need to infer which transcription factors may regulate the observed chromatin state changes.