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/outlinedriven/odin-claude-plugin/optimizenpx skills add OutlineDriven/odin-claude-plugin --skill optimizegit clone --depth 1 https://github.com/OutlineDriven/odin-claude-pluginWrote 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/outlinedriven/odin-claude-plugin/optimize)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/optimize"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/optimize.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00086 | $0.02921 |
| Opus 5 | $0.00043 | $0.01460 |
| Sonnet 5 | $0.00017 | $0.00584 |
| Haiku 4.5 | $0.00009 | $0.00292 |
Grade A, and why
optimize 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 yesterday.
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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimize
Two modes share one authority: reversible local writes to the resolved target, never push, tag, publish, deploy, or mutate a remote. Full mode runs an isolated five-lens search with an integrated 1.05x gate and an atomic commit. Quick mode runs a single measure-identify-fix-verify loop with a noise-aware keep/revert and a CI guard for the obvious-bottleneck case.
Contract
| Field | Bound contract |
|---|---|
| Trigger | The user asks to optimize code, make a path faster, reduce allocations, fix a performance regression, profile and optimize a path, symbol, or diff, or a performance requirement, slowness report, Core Web Vitals miss, or profiling evidence identifies a bottleneck. |
| Authority | Reversibly modify only the resolved local target and .outline/optimize/<target>/ (full mode) or the named target (quick mode); commit one winning optimization (full mode) or apply one targeted fix (quick mode), but never push, tag, publish, deploy, or mutate a remote. |
| Side effect | Full mode: append measurements and decisions to .outline/optimize/<target>/log.jsonl, benchmark isolated candidates, apply the winner, create one atomic commit. Quick mode: apply one targeted fix; may add a CI performance budget or field monitor. |
| Done | Full mode: exit 0 only after the committed change preserves authorized behavior, passes the adversarial and repository gates, and measures at least 1.05x faster in the integrated benchmark. Quick mode: the identified bottleneck is measurably improved past noise, tests remain green, no new regressions, and a CI budget or field monitor guards the metric. |
Inputs
Required (both modes): a resolvable path, symbol, diff, or active local change; a representative workload or benchmark command (full mode) or a performance symptom and the codebase under optimization (quick mode); and repository-native verification commands. A supplied profile or named hotspot is optional.
Optional (full mode): a performance budget, maximum gate attempts, maximum wall time, and minimum marginal speedup. An observable approximation is permitted only when the user's request already authorizes it and the exact changed contract is confirmed before mutation. If the target or workload cannot be resolved without guessing, stop with exit 11.
What ships with it
5 files 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.
- yesterday First seen · 82 lines · 86 tokens per session scan A ceed2a7f5efa
optimize is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed today), licensed Apache-2.0. It adds 86 tokens to every session and 2,921 once invoked, about $0.0004 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 2026-09-04.
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