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 athola/claude-night-market --skill response-compressiongit clone --depth 1 https://github.com/athola/claude-night-marketWrote 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/athola/claude-night-market/response-compression)<a href="https://agentmods.dev/skills/athola/claude-night-market/response-compression"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/response-compression/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/athola/claude-night-market/response-compression"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/response-compression.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00033 | $0.01705 |
| Opus 5 | $0.00016 | $0.00852 |
| Sonnet 5 | $0.00007 | $0.00341 |
| Haiku 4.5 | $0.00003 | $0.00170 |
Grade A, and why
response-compression 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 7d 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Table of Contents
- Elimination Rules
- Before/After Transformations
- Termination Guidelines
- Directness Guidelines
- Quick Reference Checklist
- Token Impact
- Integration
Response Compression
Eliminate response bloat to save 200-400 tokens per response while maintaining clarity.
When To Use
- Reducing verbose output to save context tokens
- Providing concise answers without losing information
When NOT To Use
- Educational explanations where detail improves understanding
- First-time setup instructions needing step-by-step clarity
Elimination Rules
ELIMINATE
| Category | Examples | Replacement |
|---|---|---|
| Decorative Emojis | -- |
(remove entirely) |
| Filler Words | "just", "simply", "basically", "essentially" | (remove or rephrase) |
| Hedging Language | "might", "could", "perhaps", "potentially", "I think" | Use factual statements |
| Hype Words | "powerful", "amazing", "seamless", "robust", "elegant" | Use precise descriptors |
| Conversational Framing | "Let's dive in", "Now that we've", "Moving forward" | Start with content |
| Transitions | "Furthermore", "Additionally", "In conclusion" | (remove, use structure) |
| Call-to-Action | "Feel free to", "Don't hesitate to", "Let me know if" | (remove from endings) |
PRESERVE (When Appropriate)
| Category | Example | When to Use |
|---|---|---|
| Status Indicators | [pass] [fail] [warn] |
In structured output, checklists |
| Technical Precision | Exact error messages | When debugging |
| Safety Warnings | Critical info about data loss | Always preserve |
| Context Setting | Brief necessary background | When user lacks context |
Before/After Transformations
Example 1: Opening Bloat
Before (68 tokens):
Great question! I'd be happy to help you understand how this works.
The bloat detector is a powerful tool that analyzes your codebase
and provides comprehensive insights into potential issues...
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.
- 7d ago First seen · 245 lines · 33 tokens per session scan A 2cd0a405646c
response-compression is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 1,705 once invoked, about $0.0002 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 2026-09-03.
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