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 seb1n/awesome-ai-agent-skills --skill license-analysisgit clone --depth 1 https://github.com/seb1n/awesome-ai-agent-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/seb1n/awesome-ai-agent-skills/license-analysis)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/license-analysis"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/license-analysis/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/seb1n/awesome-ai-agent-skills/license-analysis"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/license-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.02294 |
| Opus 5 | $0.00016 | $0.01147 |
| Sonnet 5 | $0.00007 | $0.00459 |
| Haiku 4.5 | $0.00003 | $0.00229 |
Grade A, and why
license-analysis 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 8d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
License Analysis
Analyze open-source license compatibility and obligations across a project's dependency tree. This skill identifies all licenses in use, checks for compatibility conflicts, flags copyleft infection risks, and generates a compliance report with actionable recommendations. It covers permissive licenses (MIT, BSD, Apache-2.0), weak copyleft (LGPL, MPL), strong copyleft (GPL, AGPL), and proprietary/mixed licensing scenarios.
Workflow
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Scan Dependencies — Parse the project's dependency manifest (package.json, requirements.txt, go.mod, Cargo.toml, pom.xml, etc.) and resolve the full transitive dependency tree. Identify every direct and indirect dependency, including optional, dev, and peer dependencies. Note any dependencies without declared licenses or with SPDX expressions indicating dual licensing.
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Identify Licenses — For each dependency, extract the license from the SPDX identifier in the package metadata, the LICENSE file in the package, or the license field in the manifest. Normalize license names to SPDX identifiers. Flag packages with no license (all rights reserved by default), custom/proprietary licenses, or ambiguous multi-license declarations that require choice.
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Check Compatibility Matrix — Evaluate pairwise license compatibility based on the project's intended distribution model (SaaS, distributed binary, open-source library, internal tool). Permissive licenses (MIT, BSD, ISC) are broadly compatible. Apache-2.0 has a patent grant that conflicts with GPLv2 (but not GPLv3). Copyleft licenses (GPL, AGPL) impose distribution obligations that may conflict with proprietary licensing of the combined work. AGPL triggers obligations even for network use.
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Flag Copyleft Risks — Identify any dependency licensed under GPL, AGPL, LGPL, or MPL and evaluate whether the usage pattern (static linking, dynamic linking, separate process, network interaction) triggers copyleft obligations. A GPL library statically linked into a proprietary application requires the entire application to be GPL-licensed. LGPL allows dynamic linking without copyleft infection. AGPL extends copyleft to network interactions.
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.
- 8d ago First seen · 130 lines · 33 tokens per session scan A 0976d81f1dfc
license-analysis is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (179 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,294 once invoked, about $0.0002 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 2026-09-03.
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