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.
git 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/plugins/athola/claude-night-market/conserve)<a href="https://agentmods.dev/plugins/athola/claude-night-market/conserve"><img src="https://agentmods.dev/badge/plugins/athola/claude-night-market/conserve/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/plugins/athola/claude-night-market/conserve"><img src="https://agentmods.dev/badge/plugins/athola/claude-night-market/conserve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
conserve 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 20d 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
{
"name": "conserve",
"version": "1.9.21",
"description": "Resource optimization and performance monitoring toolkit for efficient Claude Code workflows",
"skills": [
"./skills/action-first-output",
"./skills/agent-expenditure",
"./skills/bloat-detector",
"./skills/clear-context",
"./skills/code-quality-principles",
"./skills/context-optimization",
"./skills/cpu-gpu-performance",
"./skills/decisive-action",
"./skills/elegant-code",
"./skills/mcp-code-execution",
"./skills/response-compression",
"./skills/token-conservation"
],
"commands": [
"./commands/ai-hygiene-audit.md",
"./commands/bloat-scan.md",
"./commands/elegant-code-review.md",
"./commands/filter-log.md",
"./commands/optimize-context.md",
"./commands/unbloat.md"
],
"agents": [
"./agents/ai-hygiene-auditor.md",
"./agents/bloat-auditor.md",
"./agents/context-optimizer.md",
"./agents/continuation-agent.md",
"./agents/unbloat-remediator.md"
],
"hooks": [],
"keywords": [
"conserve",
"performance",
"resource-management",
"token-optimization",
"context-optimization",
"MECW",
"efficiency",
"bloat-detection",
"dead-code",
"code-cleanup",
"technical-debt",
"codebase-optimization",
"elegant-code",
"decision-ladder",
"minimalism",
"yagni"
],
"author": {
"name": "Alex Thola",
"url": "https://github.com/athola"
},
"license": "MIT"
}
What it installs
The manifest is a name and a version. 15 skills, 6 commands, 5 agents travel with it, and installing the plugin installs all of them — 945 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill clear-context A 33 tokens
- Skill code-quality-principles A 38 tokens
- Skill elegant-code A 37 tokens
- Skill mcp-code-execution A 32 tokens
- Skill bloat-detector A 36 tokens
- Skill response-compression A 33 tokens
- Skill compression-strategy A 30 tokens
- Skill context-map A 32 tokens
- Skill context-optimization A 31 tokens
- Skill decisive-action A 30 tokens
- Skill smart-sourcing A 31 tokens
- Skill token-conservation A 31 tokens
- Skill cpu-gpu-performance A 38 tokens
- Skill agent-expenditure A 29 tokens
- Skill action-first-output C 37 tokens
- Command bloat-scan A 0 tokens
- Command unbloat A 27 tokens
- Command ai-hygiene-audit A 28 tokens
- Command filter-log A 31 tokens
- Command elegant-code-review A 27 tokens
- Command optimize-context A 14 tokens
- Agent ai-hygiene-auditor A 48 tokens
- Agent continuation-agent A 66 tokens
- Agent unbloat-remediator A 41 tokens
- Agent bloat-auditor A 29 tokens
- Agent context-optimizer A 136 tokens
What ships with it
1 file beside plugin.json 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.
- 20d ago Changed · -2 lines 3aea0b17407b
- 1mo ago Changed · -1 lines f8efee2bbb46
- 1mo ago First seen · 62 lines scan A a275d3e7e8df
conserve is a plugin published in the GitHub repository athola/claude-night-market (343 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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