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/context-report)<a href="https://agentmods.dev/commands/athola/claude-night-market/context-report"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/context-report/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/context-report"><img src="https://agentmods.dev/badge/commands/athola/claude-night-market/context-report.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 | $0.00010 | $0.01005 |
| Opus 5 | $0.00005 | $0.00502 |
| Sonnet 5 | $0.00002 | $0.00201 |
| Haiku 4.5 | $0.00001 | $0.00101 |
Grade A, and why
context-report 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 10d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Optimization Report
Generates a detailed context window optimization report for all skills in a directory. Identifies large files, categorizes by size, and provides actionable optimization recommendations.
When To Use
Use this command when you need to:
- Assessing overall skill portfolio efficiency
- Pre-publish verification before releasing plugins
- Planning modularization priorities across many skills
- Identifying large files that need optimization
When NOT To Use
Avoid this command if:
- Analyzing single skill - use /analyze-skill instead
- Evaluating skill quality - use /skills-eval instead
Usage
# Analyze skills directory
/context-report skills/
# Analyze specific plugin's skills
/context-report ~/.claude/plugins/my-plugin/skills
# Full statistics with detailed breakdown
/context-report skills/ --stats
# Estimate tokens for a single skill file
/context-report --estimate skills/my-skill/SKILL.md
# Estimate with dependency analysis
/context-report --estimate skills/my-skill/SKILL.md --include-dependencies
What It Reports
Size Categories
Skills are categorized by byte size for optimization priority:
| Category | Size Range | Recommendation |
|---|---|---|
| Small | < 2KB | Optimal, no action needed |
| Medium | 2-5KB | Good, monitor growth |
| Large | 5-15KB | Consider modularization |
| XLarge | > 15KB | Should modularize |
Report Contents
- Total skills count: Number of SKILL.md files found
- Total size: Combined bytes across all skills
- Estimated tokens: Aggregate context impact
- Size distribution: Breakdown by category
- Individual file details: Per-file metrics (in detailed mode)
Examples
/context-report skills/
# Output:
# Context Optimization Analysis
# ==================================================
# Total Skills: 12
# Total Size: 45,230 bytes
# Estimated Tokens: 11,842
#
# Size Distribution:
# Small (<2KB): 8 files
# Medium (2-5KB): 3 files
# Large (5-15KB): 1 files
# XLarge (>15KB): 0 files
#
# Recommendation: 1 file(s) exceed 5KB
# Consider using progressive disclosure or modularization
/context-report skills/ --report
# Adds detailed per-file breakdown:
# Path Size Category Tokens
# ----------------------------------------------------------------
# skills-eval/SKILL.md 4,521 medium 1,180
# modular-skills/SKILL.md 3,892 medium 985
# ...
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.
- 10d ago First seen · 154 lines · 10 tokens per session scan A dfa8359a7374
context-report is a command published in the GitHub repository athola/claude-night-market (337 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 1,005 once invoked, about $0.0001 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.
Other commands, from other repositories
analyze-codebase
Generate comprehensive analysis and documentation of entire codebase.
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
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.
debug-session
Start a comprehensive debugging session.
plan
For easy problems, start here. For harder problems, do this after Explore.
codex-review
Run OpenAI Codex code review on current changes or a specific branch/commit.