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/martinholovsky/sota-skills/sota-pythonnpx skills add martinholovsky/SOTA-skills --skill sota-pythongit clone --depth 1 https://github.com/martinholovsky/SOTA-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/martinholovsky/sota-skills/sota-python)<a href="https://agentmods.dev/skills/martinholovsky/sota-skills/sota-python"><img src="https://agentmods.dev/badge/skills/martinholovsky/sota-skills/sota-python.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 | $0.00146 | $0.02220 |
| Opus 5 | $0.00073 | $0.01110 |
| Sonnet 5 | $0.00029 | $0.00444 |
| Haiku 4.5 | $0.00015 | $0.00222 |
Grade A, and why
sota-python 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.
The source is not reproduced here
Licensed CC-BY-4.0
The repository is licensed CC-BY-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
7 files 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.
- 4d ago First seen · 132 lines · 146 tokens per session scan A f9661e961437
sota-python is a skill published in the GitHub repository martinholovsky/SOTA-skills (18 stars, last pushed today), licensed CC-BY-4.0. It adds 146 tokens to every session and 2,220 once invoked, about $0.0007 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
ai-agent-rules
This skill covers development patterns for the ai-agent-rules repository, a comprehensive collection of structured rules and guidelines for AI agent behavior. The repository focuses on maintaining consistent documentation standards, systematic rule organization, and automated synchronization workflows. It uses…
observability
This skill should be used when the user asks about "observability", "logging", "metrics", "tracing", "monitoring", "structured logging", "log format", "log levels", "distributed tracing", "OpenTelemetry", "health checks", or needs guidance on implementing observability and monitoring requirements.
setup
This skill should be used when the user asks about "project setup", "project initialization", "repository setup", "new project", "bootstrap project", "project structure", "development environment", "toolchain setup", "project configuration", or needs guidance on setting up new projects that comply with SDLC standards.
ai
This skill should be used when the user asks about "AI development", "AI coding", "AI assistant", "CLAUDE.md", "AI context", "AI guidelines", "code generation", "AI workflow", "AI review", "AI configuration", or needs guidance on configuring AI assistants and AI-assisted development workflows.
ci
This skill should be used when the user asks about "CI pipeline", "continuous integration", "GitHub Actions", "CI configuration", "CI jobs", "workflow", "CI caching", "CI environment", "pipeline structure", or needs guidance on setting up or configuring CI/CD pipelines.
docs
This skill should be used when the user asks about "documentation", "README", "CHANGELOG", "CONTRIBUTING", "ADR", "architecture decision record", "changelog format", "keep a changelog", "doc comments", "API documentation", or needs guidance on project documentation requirements.