Borrowing it
Nothing to install: this file belongs to drujensen/aiagent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/drujensen/aiagent/main/.claude/commands/new-skill.mdgit clone --depth 1 https://github.com/drujensen/aiagentWrote 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/commands/drujensen/aiagent/new-skill)<a href="https://agentmods.dev/commands/drujensen/aiagent/new-skill"><img src="https://agentmods.dev/badge/commands/drujensen/aiagent/new-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/commands/drujensen/aiagent/new-skill"><img src="https://agentmods.dev/badge/commands/drujensen/aiagent/new-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00030 | $0.00305 |
| Opus 5.5 | $0.00012 | $0.00122 |
| Sonnet 5.5 | $0.00006 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
new-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.
What it actually says
Create a new aiagent skill.
Skill name and purpose: $ARGUMENTS
Skill File Format
Skills are discovered from .aiagent/skills/<name>/SKILL.md. The format requires YAML frontmatter:
---
name: <skill-name>
description: <description up to 1024 chars>
license: MIT
compatibility: aiagent>=1.0
allowed-tools:
- bash
- file-read
metadata:
author: drujensen
---
# Skill content here (the actual instructions/prompt for the agent)
Name Rules
- Lowercase letters, numbers, hyphens only
- Cannot start or end with a hyphen
- No consecutive hyphens
- Max 64 characters
Steps
- Determine the skill name (snake-case to hyphen-case)
- Create directory:
.aiagent/skills/<name>/ - Create
.aiagent/skills/<name>/SKILL.mdwith proper frontmatter - Write clear, actionable skill content that an AI agent can follow
- Verify the skill would pass
skill.Validate()(name format, description length)
The skill content should be a self-contained set of instructions that an agent can execute. Be specific about what tools to use and what output to produce.
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 · 44 lines · 30 tokens per session scan A 4faec0342aea
new-skill is a command published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 305 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-03.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.