Prompt Engineering Patterns
wshobson/agents
Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
A skill your agent uses when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions…
Install Lintlang
$ npx skills add hermes-labs-ai/lintlang --skill lintlang -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hermes-labs-ai/lintlang lintlang --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hermes-labs-ai/lintlang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/lintlang .claude/skills/lintlang && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lintlang" agent skill from https://github.com/hermes-labs-ai/lintlang/tree/main/.agents/skills/lintlang into .claude/skills/lintlang/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lintlang", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hermes-labs-ai/lintlang/tree/main/.agents/skills/lintlangType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hermes-labs-ai/lintlang --skill lintlang -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hermes-labs-ai/lintlang lintlang --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hermes-labs-ai/lintlang.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/lintlang .agents/skills/lintlang && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lintlang" agent skill from https://github.com/hermes-labs-ai/lintlang/tree/main/.agents/skills/lintlang into .agents/skills/lintlang/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lintlang", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hermes-labs-ai/lintlang --skill lintlang -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hermes-labs-ai/lintlang lintlang --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hermes-labs-ai/lintlang.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/lintlang .cursor/skills/lintlang && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lintlang" agent skill from https://github.com/hermes-labs-ai/lintlang/tree/main/.agents/skills/lintlang into .cursor/skills/lintlang/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lintlang", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hermes-labs-ai/lintlang.git --path .agents/skills/lintlang--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hermes-labs-ai/lintlang --skill lintlang -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hermes-labs-ai/lintlang lintlang --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hermes-labs-ai/lintlang.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/lintlang .gemini/skills/lintlang && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lintlang" agent skill from https://github.com/hermes-labs-ai/lintlang/tree/main/.agents/skills/lintlang into .gemini/skills/lintlang/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lintlang", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hermes-labs-ai/lintlang lintlangInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hermes-labs-ai/lintlang --skill lintlang -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hermes-labs-ai/lintlang.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/lintlang .github/skills/lintlang && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lintlang" agent skill from https://github.com/hermes-labs-ai/lintlang/tree/main/.agents/skills/lintlang into .github/skills/lintlang/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lintlang", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hermes-labs-ai/lintlang --skill lintlang -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hermes-labs-ai/lintlang lintlang --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hermes-labs-ai/lintlang.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/lintlang .opencode/skills/lintlang && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lintlang" agent skill from https://github.com/hermes-labs-ai/lintlang/tree/main/.agents/skills/lintlang into .opencode/skills/lintlang/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lintlang", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lintlang- GitHub stars
- 140
- Token cost
- ~719 tokens
- SKILL.md length
- 288 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions…
- Reviewing AI agent configs
- SKILL.md covers Use it for, Do not use it for, Quickstart and Output shape, plus 2 more sections
- Calls uvx and python
- Tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions
What it does
Lintlang is an agent skill from hermes-labs-ai/lintlang. Use when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions, schema/description mismatches, or embedded prompts before they reach runtime. Deterministic static analysis, no LLM or network calls.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires Python 3.10+; installs via pip or runs standalone via uvx lintlang. Scans need no network access.
It sits in AI & LLM Engineering, covering Prompt engineering, Static analysis and SAST and Structured output and tool calling. It works with Python. The repository describes itself as: Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime… The licence is Apache-2.0.
When your agent uses it
- Reviewing AI agent configs
- Tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions
- Missing stop conditions
- Schema/description mismatches
Example prompts
- “/lintlang”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires Python 3.10+; installs via pip or runs standalone via `uvx lintlang`. Scans need no network access.
What it can do on your machine
Read from SKILL.md and the folder at commit 5ed167a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uvxpython
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.astral.sh
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires Python 3.10+; installs via pip or runs standalone via `uvx lintlang`. Scans need no network access.
From compatibility in the SKILL.md frontmatter.
Context cost
Lintlang loads about 719 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 288 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from hermes-labs-ai/lintlang at commit 5ed167a, republished under its Apache-2.0 licence (© hermes-labs-ai). 288 words, ~719 tokens.
Download SKILL.mdSave it as
.claude/skills/lintlang/SKILL.md (or your agent's skills folder).- name
- lintlang
- description
- Use when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions, schema/description mismatches, or embedded prompts before they reach runtime. Deterministic static analysis, no LLM or network calls.
- compatibility
- Requires Python 3.10+; installs via pip or runs standalone via `uvx lintlang`. Scans need no network access.
- license
- Apache-2.0
LintLang
LintLang statically analyzes the natural-language instructions that control AI agents — system prompts, tool descriptions, and configs — catching ambiguous tools, missing limits, and mixed output formats before they reach an agent at runtime. It is zero-LLM: deterministic pattern and structural checks only, no model calls, no telemetry, no network access.
Use it for
- Linting tool descriptions before agents start choosing between them
(detects pairs like
get_user_info/fetch_user_datawith no distinguishing term — checkH1.6) - Checking prompts and configs for missing stop conditions, unbounded retries, and schema/description mismatches
- Running a zero-LLM CI gate over YAML, JSON, prompt text, and Python source
- Scanning
.pyfiles for embedded prompts and uncalibrated thresholds (detectorsP1/P2) - Preflighting one present instruction plus explicit typed context before a host sends it to a model
Do not use it for
- Runtime evaluation of a live agent
- Dynamic agent testing or behavioral benchmarking
- Proving an agent is safe in production
- Retrieving preferences from history, deciding truth, or rewriting/sending prompts on the agent's behalf
Quickstart
python -m pip install lintlang
lintlang scan AGENTS.mdOr without installing, via uv:
uvx lintlang scan AGENTS.mdScan a fixture with a known finding:
uvx lintlang scan samples/bad_tool_descriptions.yamlOutput shape
- Repository scan outcomes:
ERROR,PASS,REVIEW, orFAIL - Structural findings by pattern
H1throughH7, plus Python pipeline findingsP1andP2 - JSON output for CI via
--format json - Preflight states:
ALLOW,NOTICE,HOLD,UNAVAILABLE, orERROR - Preflight evidence uses exact code-point spans and stable
PF001-PF005IDs
Common gotchas
- LintLang judges structure, not runtime model behavior — a config can pass every LintLang check and still fail at inference time.
- Configs can be syntactically valid YAML/JSON while still under-specified
for their intended use; LintLang flags this as
REVIEW, notFAIL. - Preflight heuristic findings are notice-only; only exact contract/conflict
rules may hold (
HOLD).
More
Full docs, CLI reference, and CI integration: https://github.com/hermes-labs-ai/lintlang
© hermes-labs-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/lintlang of hermes-labs-ai/lintlang.
Open the folder on GitHubat commit 5ed167a
Compare with similar skills
Lintlang next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lintlang this skillhermes-labs-ai/lintlang | 140 | — | ~719 | Automated safety check: Pass | Apache-2.0 | |
| Prompt Engineering Patternswshobson/agents | 40k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Kayba Stage 2 Domain Contextkayba-ai/agentic-context-engine | 2.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Senior Prompt Engineeralirezarezvani/claude-skills | 28k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Claude Cookbooks Reference2025Emma/vibe-coding-cn | 23k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Guidance Constrained GenerationOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~3.6k | Automated safety check: Pass | MIT |
Similar skills
Kayba Stage 2 Domain Context
kayba-ai/agentic-context-engine
Gather domain context about the repository and agent — system prompt, tool definitions, domain docs, and behavior patterns from traces.
Senior Prompt Engineer
alirezarezvani/claude-skills
A skill your agent uses when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations…
Claude Cookbooks Reference
2025Emma/vibe-coding-cn
Reference of Claude API examples and guides covering tool use, vision, RAG, classification, summarization, text-to-SQL, prompt caching and agent patterns.
Guidance Constrained Generation
Orchestra-Research/AI-Research-SKILLs
Constrains language model output with regex, selections and grammars using the Guidance library, so JSON, XML, code or formatted fields come out valid.
Prompt Engineering
ancoleman/ai-design-components
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques.
More from hermes-labs-ai/lintlang
Lintlang
hermes-labs-ai/lintlang
Lint AI agent instruction files (SKILL.md, CLAUDE.md, AGENTS.md, GEMINI.md), tool definitions, system prompts, and agent configs with the deterministic LintLang CLI.
Lintlang Audit
hermes-labs-ai/lintlang
Audit a named AI agent config, system prompt, tool-definition or instruction file (YAML, JSON, Markdown, text, or Python) with the released LintLang CLI, on request.
Lintlang Audit
hermes-labs-ai/lintlang
Audit a named AI agent config, system prompt, tool definition, or instruction file (YAML, JSON, Markdown, text, or Python) with the released LintLang CLI in GitHub Copilot CLI.
Related
Works with
Categories
Questions about Lintlang
What does Lintlang do?
A skill your agent uses when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions…. Lintlang is an agent skill from hermes-labs-ai/lintlang. Use when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions, schema/description mismatches, or embedded prompts before they reach runtime.
When should I use Lintlang?
Lintlang fits situations like: reviewing AI agent configs; tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions; missing stop conditions; schema/description mismatches.
How do I install Lintlang in Claude Code?
Run `npx skills add hermes-labs-ai/lintlang --skill lintlang -a claude-code`. Or copy the skill folder (.agents/skills/lintlang in hermes-labs-ai/lintlang) into .claude/skills/lintlang in your project. Claude Code loads it when a task matches its description.
How do I install Lintlang in Codex?
Run `npx skills add hermes-labs-ai/lintlang --skill lintlang -a codex`. Or copy the skill folder (.agents/skills/lintlang in hermes-labs-ai/lintlang) into .agents/skills/lintlang in your project. Codex loads it when a task matches its description.
Can I use Lintlang in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hermes-labs-ai/lintlang --skill lintlang -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lintlang, .gemini/skills/lintlang, .github/skills/lintlang and .opencode/skills/lintlang in your project.
What does Lintlang need to run?
Going by SKILL.md and its folder, Lintlang needs the command-line tools its instructions call (uvx and python). Our summary lists: Python 3. Compatibility (from SKILL.md): Requires Python 3.10+; installs via pip or runs standalone via `uvx lintlang`. Scans need no network access..
Does Lintlang access the network?
SKILL.md names 1 domain. As links in the text: docs.astral.sh. This is read from the text; nothing was executed.
Is Lintlang safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Lintlang use?
Lintlang is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lintlang use?
About 719 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Lintlang?
Skills that share tags, products or a category with Lintlang: Prompt Engineering Patterns (wshobson/agents, 40k stars), Kayba Stage 2 Domain Context (kayba-ai/agentic-context-engine, 2.6k stars), Senior Prompt Engineer (alirezarezvani/claude-skills, 28k stars) and Claude Cookbooks Reference (2025Emma/vibe-coding-cn, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lintlang?
hermes-labs-ai (a GitHub organization) maintains it in hermes-labs-ai/lintlang, which has 140 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 9, 2026.
Source: hermes-labs-ai/lintlang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.