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 eclipse-langium/langium-ai --skill lai-gen-language-skillgit clone --depth 1 https://github.com/eclipse-langium/langium-aiWrote 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/eclipse-langium/langium-ai/lai-gen-language-skill)<a href="https://agentmods.dev/skills/eclipse-langium/langium-ai/lai-gen-language-skill"><img src="https://agentmods.dev/badge/skills/eclipse-langium/langium-ai/lai-gen-language-skill/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/eclipse-langium/langium-ai/lai-gen-language-skill"><img src="https://agentmods.dev/badge/skills/eclipse-langium/langium-ai/lai-gen-language-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 44 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 60 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.02426 |
| Opus 5 | $0.00016 | $0.01213 |
| Sonnet 5 | $0.00007 | $0.00485 |
| Haiku 4.5 | $0.00003 | $0.00243 |
Grade A, and why
lai-gen-language-skill 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 11d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Language Skill
This guide instructs an agent on how to generate a comprehensive, standalone skill document (a markdown file) for working with a specific Langium-based DSL. The output skill should give any agent or developer a deep understanding of the target language — its syntax, semantics, use cases, patterns, and pitfalls — without requiring access to the original project sources at runtime.
You may also use the lai and langium skills to achieve a better understanding of langium-ai and the Langium-based DSL in question that we wish to generate a skill for.
When to Use
- After a descriptor and system prompt have been generated and refined (
lai gen descriptor,lai gen sysprompt) - When you want to produce a reusable knowledge artifact (e.g., a SKILL.md or CLAUDE.md section) that teaches an agent how to work with your DSL
- When onboarding new developers or agents to an existing DSL project
- When creating documentation that goes beyond a system prompt — covering not just "how to generate code" but "how to think in this language"
Inputs
Gather these from the project before generating the skill:
- Language descriptor (
language.descriptor.yml) — the structured YAML descriptor produced bylai gen descriptor - Grammar file (
.langium) — the full grammar definition - Example files — all example programs referenced in the descriptor
- Validator source — the custom validator implementation (if any)
- Scope provider source — the custom scoping implementation (if any)
- Other custom services — linker, name provider, type provider, etc.
- Test files — existing tests that demonstrate expected behavior and edge cases
- Documentation — any referenced docs (README, language guides, etc.)
- Existing system prompt — the generated system prompt, which already contains a curated view of the language
Output Location
The generated skill must be placed in the project's existing skills directory, following the standard skill folder convention:
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.
- 11d ago First seen · 225 lines · 33 tokens per session scan A c6f669beddce
lai-gen-language-skill is a skill published in the GitHub repository eclipse-langium/langium-ai (30 stars, last pushed 14d ago), licensed MIT. It adds 33 tokens to every session and 2,426 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 2026-08-30.
Other skills, from other repositories
build-and-test
How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.
python-feature-lifecycle
Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.
python-code-quality
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.
python-development
Coding standards, conventions, and patterns for developing Python code in the Agent Framework repository. Use this when writing or modifying Python source files in the python/ directory.
azure-resource-manager-postgresql-dotnet
Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments. Use for creating servers, databases, firewall rules, configurations, backups, and high availability. Triggers: "PostgreSQL", "PostgreSqlFlexibleServer", "PostgreSQL Flexible Server", "Azure Database for…
azure-identity-py
Azure Identity SDK for Python authentication with Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and token caching. Triggers: "azure-identity", "DefaultAzureCredential", "authentication", "managed identity", "service principal", "credential".