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optimization-suggest

optimization-suggest is a skill for Claude Code, Codex from hoangsonww/Claude-Code-Agent-Monitor. It costs 39 tokens per session (723 once invoked), scanned A, original, MIT.

A usage-analysis tool that recommends ways to improve Claude Code sessions from historical data.

In plain words
What is it for?
Use it to plan changes focused on cost, speed, quality, or general workflow efficiency.
Why use it?
It helps identify wasted cost, slow workflows, repeated errors, and other inefficiencies that are hard to spot manually.

Skill for Claude CodeCodex

Written for Claude Code and Codex: $ARGUMENTS substitution, but also agents/openai.yaml present. Also seen: mentions subagents; mentions Claude Code.

Part of the ccam-insights plugin — 6 skills, 3 commands, 2 agents shipped together

not rated 989repo +18 3d ago A scan SkillSpector: pass 39 tokens original MIT

Good fit Use it to plan changes focused on cost, speed, quality, or general workflow efficiency.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangsonww/claude-code-agent-monitor/optimization-suggest
View source ↗ hoangsonww/Claude-Code-Agent-Monitor hoangsonww.github.io
Install

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.

Any agent
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill optimization-suggest
Clone the repo
git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor

Made for: Claude Code, Codex.

Or install ccam-insights, the plugin that ships this one along with the rest of its 6 skills, 3 commands, 2 agents.

Wrote 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.

agentmods badge for optimization-suggest

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/optimization-suggest/github.svg)](https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/optimization-suggest)
Your own site
<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/optimization-suggest"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/optimization-suggest/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.

agentmods 80×15 button for optimization-suggest

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangsonww/claude-code-agent-monitor/optimization-suggest"><img src="https://agentmods.dev/badge/skills/hoangsonww/claude-code-agent-monitor/optimization-suggest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 723 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00723
Opus 5 $0.00019 $0.00362
Sonnet 5 $0.00008 $0.00145
Haiku 4.5 $0.00004 $0.00072

Measured 8d ago against content hash 45fd6b544385, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

optimization-suggest 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 8d 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.

plugins/ccam-insights/skills/optimization-suggest/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Optimization Suggest

Generate data-driven optimization recommendations for Claude Code usage.

Input

The user provides: $ARGUMENTS

This may be:

  • "all" or empty (default: comprehensive optimization scan)
  • "cost" for cost reduction focus
  • "speed" for performance/speed focus
  • "quality" for error reduction focus
  • "efficiency" for workflow efficiency focus

Procedure

  1. Gather optimization data from http://localhost:4820:

    • GET /api/sessions?limit=200 — session history
    • GET /api/analytics — tool and token analytics
    • GET /api/pricing/cost — cost data
    • GET /api/pricing — pricing rules for model comparison
    • Sample event streams for behavioral analysis

  2. Analyze optimization opportunities:

    💰 Cost Optimization

    • Model downgrade opportunities: Tasks completed with expensive models that could use cheaper ones
      • Compare success rates per model per task type
      • Calculate savings from model substitution
    • Cache optimization: Sessions with low cache hit rates
      • Identify sessions that could benefit from better prompt caching
    • Early termination: Sessions that ran longer than needed
      • Detect sessions where useful work completed well before session end
    • Compaction reduction: Sessions hitting context limits
      • Suggest breaking large tasks into smaller sessions

    ⚡ Speed Optimization

    • Tool selection: Faster alternatives for commonly-used tool patterns
    • Subagent parallelization: Tasks that could run in parallel
    • Session planning: Better upfront context to reduce back-and-forth
    • Preemptive context loading: Frequently needed files/context

    🛡 Quality Optimization

    • Error prevention: Common error patterns with preventive measures
    • Tool reliability: Tools with high failure rates and alternatives
    • Validation gaps: Sessions lacking verification steps
    • Recovery strategies: Better error handling patterns

Read the full file on GitHub · 84 lines

Files

What ships with it

1 file beside SKILL.md 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.

Changes

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.

  1. 8d ago First seen · 84 lines · 39 tokens per session scan A 45fd6b544385

Subscribe to this mod's changes

optimization-suggest is a skill published in the GitHub repository hoangsonww/Claude-Code-Agent-Monitor (989 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 723 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.

Analytics and metricsClaude CodePlanningclaude-agentsclaude-skillsexpressexpressjsnode
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