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 darellchua2/opencode-config-template --skill language-linting-skillgit clone --depth 1 https://github.com/darellchua2/opencode-config-templateWrote 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/darellchua2/opencode-config-template/language-linting-skill)<a href="https://agentmods.dev/skills/darellchua2/opencode-config-template/language-linting-skill"><img src="https://agentmods.dev/badge/skills/darellchua2/opencode-config-template/language-linting-skill.svg" alt="Measured on agentmods" 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 MCP Rug Pull · line 35 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 240 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00059 | $0.05168 |
| Opus 5 | $0.00030 | $0.02584 |
| Sonnet 5 | $0.00012 | $0.01034 |
| Haiku 4.5 | $0.00006 | $0.00517 |
Grade A, and why
language-linting-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 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.
How it starts
The opening of the file, as written. The whole thing — 579 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What I do
I implement per-language linting by extending the linting-workflow framework:
- Detect Language & Environment: Identify the project language(s) and toolchain (Poetry/pip, npm/yarn/pnpm, Maven/Gradle, .NET SDK)
- Detect Linter Configuration: Check which linter is installed and how it is configured
- Delegate to Linting Workflow: Use
linting-workflowfor the core run-fix-verify loop - Provide Per-Language Guidance: Interpret error codes and rule violations (Ruff F/E/W, ESLint rules, Checkstyle/PMD/SpotBugs, CAxxxx/SAxxxx/IDExxxx)
- Ensure Coding Standards: PEP 8, JavaScript/TypeScript style guides, Google Java Style, .NET coding conventions
When to use me
Use this skill when:
- Writing or modifying code that needs to follow industry standards (Python, JS/TS, Java, C#)
- Before committing changes to ensure code quality
- When you see linter errors (Ruff, ESLint, Checkstyle, PMD, SpotBugs, dotnet format) and need help fixing them
- Setting up a new project with proper linting configuration
- You want to ensure code quality in automated workflows
Framework: This skill extends linting-workflow for generic linting, adding per-language linter guidance.
Language Detection & Linter Selection
| Language | File Patterns | Primary Linter | Auto-Fix Command |
|---|---|---|---|
| Python | *.py, pyproject.toml/requirements.txt |
Ruff | ruff check --fix . |
| JS/TS | *.{js,ts,jsx,tsx,mjs,cjs}, package.json |
ESLint | npx eslint --fix . |
| Java | *.java, pom.xml/build.gradle |
Checkstyle + PMD + SpotBugs | Limited (formatter plugins) |
| C# | *.cs, *.csproj/*.sln |
dotnet format + analyzers | dotnet format |
Delegate to Linting Workflow
Use linting-workflow framework for:
- Language detection
- Linter detection
- Package manager detection
- Running linting with appropriate commands
- Auto-fix application
- Error resolution guidance
- Verification and re-running
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 · 579 lines · 59 tokens per session scan A 854a9b89f79c
language-linting-skill is a skill published in the GitHub repository darellchua2/opencode-config-template (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 5,168 once invoked, about $0.0003 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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