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 agentmods add skills/eiler2005/ai-tab-optimizer/implementnpx skills add eiler2005/ai-tab-optimizer --skill implementgit clone --depth 1 https://github.com/eiler2005/ai-tab-optimizerWhat 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 | $0.00020 | $0.00214 |
| Opus 5 | $0.00010 | $0.00107 |
| Sonnet 5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
implement 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 2d 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
Implement the plan from: $ARGUMENTS
Steps:
- Read the plan file specified above (e.g., docs/plans/.md)
- Execute each task in the order listed in the plan
- After completing each task:
- Run
cd extension && pnpm typecheckto verify no type errors introduced - Mark the task as completed in the plan file: change
- [ ]to- [x]
- Run
- Do NOT stop until ALL tasks in the plan are completed and marked
- Do NOT add unnecessary comments or JSDoc
- Do NOT use
anytype — useunknownwith narrowing if needed - Follow existing patterns in the codebase (Zustand store, discriminated unions, Tailwind classes)
- When done, update the plan Status to
done
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.
- 2d ago First seen · 20 lines · 20 tokens per session scan A 0b44babdf7c9
implement is a skill published in the GitHub repository eiler2005/ai-tab-optimizer (3 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 214 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 2026-08-31.
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