oh-my-posh is a customizable prompt theme engine that renders command-line prompts across shells and platforms. Developers and terminal users use it to configure primary, secondary, right, and transient prompts in shells such as PowerShell, zsh, Bash, and cmd. The catalogue entries provide skills, instructions, agents, and an MCP integration for working with oh-my-posh.
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 JanDeDobbeleer/oh-my-posh --skill ast-grepgit clone --depth 1 https://github.com/JanDeDobbeleer/oh-my-poshWrote 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/jandedobbeleer/oh-my-posh/ast-grep)<a href="https://agentmods.dev/skills/jandedobbeleer/oh-my-posh/ast-grep"><img src="https://agentmods.dev/badge/skills/jandedobbeleer/oh-my-posh/ast-grep/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/jandedobbeleer/oh-my-posh/ast-grep"><img src="https://agentmods.dev/badge/skills/jandedobbeleer/oh-my-posh/ast-grep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00080 | $0.02284 |
| Opus 5 | $0.00040 | $0.01142 |
| Sonnet 5 | $0.00016 | $0.00457 |
| Haiku 4.5 | $0.00008 | $0.00228 |
Grade A, and why
ast-grep 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 12d 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ast-grep Code Search
Overview
This skill helps translate natural language queries into ast-grep rules for structural code search. ast-grep uses Abstract Syntax Tree (AST) patterns to match code based on its structure rather than just text, enabling powerful and precise code search across large codebases.
When to Use This Skill
Use this skill when users:
- Need to search for code patterns using structural matching (e.g., "find all async functions that don't have error handling")
- Want to locate specific language constructs (e.g., "find all function calls with specific parameters")
- Request searches that require understanding code structure rather than just text
- Ask to search for code with particular AST characteristics
- Need to perform complex code queries that traditional text search cannot handle
General Workflow
Follow this process to help users write effective ast-grep rules:
Step 1: Understand the Query
Clearly understand what the user wants to find. Ask clarifying questions if needed:
- What specific code pattern or structure are they looking for?
- Which programming language?
- Are there specific edge cases or variations to consider?
- What should be included or excluded from matches?
Step 2: Create Example Code
Write a simple code snippet that represents what the user wants to match. Save this to a temporary file for testing.
Example: If searching for "async functions that use await", create a test file:
// test_example.js
async function example() {
const result = await fetchData();
return result;
}
Step 3: Write the ast-grep Rule
Translate the pattern into an ast-grep rule. Start simple and add complexity as needed.
Key principles:
- Always use
stopBy: endfor relational rules (inside,has) to ensure search goes to the end of the direction - Use
patternfor simple structures - Use
kindwithhas/insidefor complex structures - Break complex queries into smaller sub-rules using
all,any, ornot
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 324 lines · 80 tokens per session scan A 1d356580b6d3
ast-grep is a skill published in the GitHub repository JanDeDobbeleer/oh-my-posh (23,447 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 2,284 once invoked, about $0.0004 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.
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