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 OpenLAIR/OpenSkill --skill evo-d3v6-stock-visualizationgit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-d3v6-stock-visualization)<a href="https://agentmods.dev/skills/openlair/openskill/evo-d3v6-stock-visualization"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-d3v6-stock-visualization/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/openlair/openskill/evo-d3v6-stock-visualization"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-d3v6-stock-visualization.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 | $0.00055 | $0.00366 |
| Opus 5.5 | $0.00022 | $0.00146 |
| Sonnet 5.5 | $0.00011 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
evo-d3v6-stock-visualization 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.
What it actually says
evo-d3v6-stock-visualization
Generates visualization.js with D3.js v6 force-simulation bubble chart, data table, and interactions.
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-d3v6-stock-visualization/scripts')
from utils import generate_visualization_js
generate_visualization_js('/root/output/js/visualization.js')
Functions
generate_visualization_js(output_path)- Generates complete visualization.jsbuild_force_simulation_code()- Returns JS for force simulation with sector clusteringbuild_bubble_chart_code()- Returns JS for SVG bubble chart with labels, legend, tooltipbuild_data_table_code()- Returns JS for HTML data table with formatted market capbuild_interaction_code()- Returns JS for bidirectional click highlightingformat_market_cap_js()- Returns JS function to format numbers as 1.64T, 232.51B, etc.
Key Design Decisions
- D3 v6 event signature:
(event, d)not(d, i) - scaleSqrt for area-proportional bubble sizing
- ETFs get uniform radius (no marketCap data)
- No tooltip shown for ETF entries
- forceX/forceY with sector-specific coordinates for clustering
- forceCollide prevents overlap
- Bidirectional click: bubble click highlights table row (scrolls into view), table row click highlights bubble
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.
- 1mo ago First seen · 38 lines · 55 tokens per session scan A 2aeb84443c92
evo-d3v6-stock-visualization is a skill published in the GitHub repository OpenLAIR/OpenSkill (97 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 366 once invoked, about $0.0002 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 2026-09-11.
Other skills, from other repositories
flux-analyzer
Analyse FBA flux distributions to extract biological insights. Covers gene essentiality, phenotypic phase planes, flux sampling, pathway-level aggregation, secretion product prediction, and production of publication- quality figures.
akg-agents
An agent workflow for developing, generating, testing, and tuning AKG operators. AKG is a toolkit for generating optimized computational kernels.
openJiuwen-DeepSearch
A deep-research tool that plans searches, gathers and checks information, and produces research reports in Markdown, DOC, or HTML format. It coordinates several AI agents for complex investigations.
experimental-design
Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.
economic-reasoning
Economic decision-making for agents in EconomySpace. Activate when the agent observes currency, prices, income, tax, or trading opportunities to make informed financial decisions.
care.basic
Offer basic care check-ins for neighbors.