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 curiositech/some_claude_skills --skill cost-optimizergit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/curiositech/some_claude_skills/cost-optimizer)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/cost-optimizer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/cost-optimizer/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/curiositech/some_claude_skills/cost-optimizer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/cost-optimizer.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 | $0.00107 | $0.01148 |
| Opus 5 | $0.00053 | $0.00574 |
| Sonnet 5 | $0.00021 | $0.00230 |
| Haiku 4.5 | $0.00011 | $0.00115 |
Grade A, and why
cost-optimizer 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 9d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cost Optimizer
Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget: downgrade models, skip optional nodes, or stop early.
When to Use
✅ Use for:
- Setting and enforcing cost budgets for DAG executions
- Real-time cost monitoring during execution
- Deciding when to downgrade model tiers mid-execution
- Identifying which nodes are most expensive and why
- Post-execution cost analysis and optimization recommendations
❌ NOT for:
- Choosing which model to use per node (use
llm-router) - Provider pricing comparisons (static data, not a skill)
- Billing or invoicing features
Budget Enforcement Process
flowchart TD
N[Node about to execute] --> C[Check: spent + estimated_node_cost vs budget]
C --> S{Within budget?}
S -->|Yes, >20% remaining| E[Execute at planned model tier]
S -->|Yes, <20% remaining| W[Execute but downgrade to Tier 1 if possible]
S -->|No| D{Node optional?}
D -->|Yes| SK[Skip node]
D -->|No| H{Human gate available?}
H -->|Yes| A[Ask human: continue over budget?]
H -->|No| ST[Stop execution, return partial results]
Budget Tiers
| Budget Remaining | Action |
|---|---|
| >50% | Execute at planned model tier |
| 20-50% | Log warning. Continue at planned tier. |
| 10-20% | Downgrade remaining Tier 2 nodes to Tier 1 (Haiku) |
| 5-10% | Downgrade ALL remaining nodes to Tier 1. Skip optional nodes. |
| <5% | Stop execution unless next node is critical path |
| 0% | Stop. Return partial results with cost breakdown. |
Cost Estimation Per Node
Before each node executes, estimate its cost:
estimated_cost = (avg_input_tokens × input_price + avg_output_tokens × output_price)
Use historical averages for this skill + model combination. If no history, use defaults:
- Tier 1 (Haiku): ~800 input + 400 output = ~$0.001
- Tier 2 (Sonnet): ~2000 input + 1000 output = ~$0.012
- Tier 3 (Opus): ~3000 input + 1500 output = ~$0.16
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.
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.
- 9d ago First seen · 118 lines · 107 tokens per session scan A bc7525f164e7
cost-optimizer is a skill published in the GitHub repository curiositech/some_claude_skills (216 stars, last pushed 3d ago), licensed MIT. It adds 107 tokens to every session and 1,148 once invoked, about $0.0005 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.
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