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.

144 stars 13 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add hermes-labs-ai/lintlang --skill lintlang
Manual install
git clone --depth 1 https://github.com/hermes-labs-ai/lintlang.git /tmp/lintlang
mkdir -p ~/.claude/skills
cp -r /tmp/lintlang/.agents/skills/lintlang ~/.claude/skills/lintlang

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# 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_data` with no
  distinguishing term — check `H1.6`)
- 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 `.py` files for embedded prompts and uncalibrated thresholds
  (detectors `P1`/`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

```bash
python -m pip install lintlang
lintlang scan AGENTS.md
```

Or without installing, via [uv](https://docs.astral.sh/uv/):

```bash
uvx lintlang scan AGENTS.md
```

Scan a fixture with a known finding:

```bash
uvx lintlang scan samples/bad_tool_descriptions.yaml
Read the full skill on GitHub

Details

Skill name
lintlang
Repository
hermes-labs-ai/lintlang
Path
.agents/skills/lintlang/SKILL.md
License
Apache-2.0
Repo updated
26 October 2026
Listed in
VoltAgent/awesome-agent-skills

FAQ

What does the Lintlang skill do?

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.

How do I install the Lintlang skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add hermes-labs-ai/lintlang --skill lintlang. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Lintlang popular?

It lives in hermes-labs-ai/lintlang, which has 144 GitHub stars and 13 forks, and is included in 1 curated skill list.

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