Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add athola/claude-night-market/plugin install abstractWrote 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/athola/claude-night-market/create-skill)<a href="https://agentmods.dev/commands/athola/claude-night-market/create-skill"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/create-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/athola/claude-night-market/create-skill"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/create-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 | $0.00025 | $0.03003 |
| Opus 5.5 | $0.00010 | $0.01201 |
| Sonnet 5.5 | $0.00005 | $0.00601 |
| Haiku 4.5 | $0.00003 | $0.00300 |
Grade A, and why
create-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 494 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Skill Command
Creates new skills through a structured workflow: iron-law → brainstorm → scaffold → validate. Uses Socratic questioning to refine rough ideas into well-designed skills before generating any files.
Usage
# Start with brainstorming (recommended)
/create-skill "a skill for analyzing test coverage gaps"
# Skip brainstorming if you already have a clear design
/create-skill analyzing-coverage --skip-brainstorm
# Create in specific plugin
/create-skill "debugging async race conditions" --plugin parseltongue
Workflow
Phase -1: Iron Law Interlock (Blocking)
This phase is required and cannot be skipped.
Quick Reference
- Create test file FIRST:
tests/test_${skill_name}_skill.py - Write structural tests: File exists, frontmatter valid, registered in plugin.json
- Run tests - capture RED state:
pytest tests/test_${skill_name}_skill.py -v # Expected: FAILED (skill does not exist) - Capture evidence:
[E1] Command: pytest tests/test_${skill_name}_skill.py -v Output: FAILED - FileNotFoundError Status: RED - Interlock satisfied
Only after completing Phase -1 may you proceed.
Phase 0: Methodology Curation (Optional but Recommended)
Before brainstorming, consider surfacing expert frameworks for your domain.
Invoke the methodology-curator skill:
Use abstract:methodology-curator to surface proven methodologies before brainstorming.
This is especially valuable when:
- Creating skills that teach techniques (debugging, testing, reviewing)
- Building knowledge management features
- Designing decision frameworks
- The domain has recognized experts (most do!)
Phase 0.5: Brainstorming (Default)
After methodology curation (or if skipping it), refine the skill idea through collaborative dialogue.
Invoke the brainstorming skill:
Use superpowers:brainstorming to refine this skill idea before scaffolding.
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.
- 1mo ago First seen · 494 lines · 25 tokens per session scan A d1b0e0c53c1e
create-skill is a command published in the GitHub repository athola/claude-night-market (343 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 3,003 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 2026-08-30.
Other commands, from other repositories
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
analyze-codebase
Generate comprehensive analysis and documentation of entire codebase.
audit
Perform security audit on codebase.
anti-slop-designer
Use when a UI looks machine-made rather than decided. Violet gradients, glassmorphism everywhere, identical cards in a grid, untouched shadcn or Material defaults, emoji bullets, or copy stuffed with seamless and unlock.
codex-review
Run OpenAI Codex code review on current changes or a specific branch/commit.
design-critic
Use when you want an honest read on a design instead of encouragement. What is wrong, ranked by severity, with the reason attached. Works on a screenshot, a mockup, or a described screen.