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 Parslee-ai/neo --skill neo-optimizegit clone --depth 1 https://github.com/Parslee-ai/neoWrote 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/parslee-ai/neo/neo-optimize)<a href="https://agentmods.dev/skills/parslee-ai/neo/neo-optimize"><img src="https://agentmods.dev/badge/skills/parslee-ai/neo/neo-optimize/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/parslee-ai/neo/neo-optimize"><img src="https://agentmods.dev/badge/skills/parslee-ai/neo/neo-optimize.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 | $0.00059 | $0.00866 |
| Opus 5 | $0.00030 | $0.00433 |
| Sonnet 5 | $0.00012 | $0.00173 |
| Haiku 4.5 | $0.00006 | $0.00087 |
Grade A, and why
neo-optimize scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neo Optimization Analysis
When the user invokes this skill ($neo-optimize <target>), do the following:
-
Locate the target. It may be a function name (
process_large_dataset), a file, or a description ("the user-search query path"). Use Grep/Read to find the actual implementation. -
Capture the current implementation plus its callers if you can do so cheaply. Neo can suggest better algorithms, but only if it sees how the code is used.
-
Apply the provider boundary. Redact secrets, credentials, tokens, cookies, and session material. Before an external-provider call, tell the user which Neo provider will receive which files or data categories. Production, private, or customer code requires explicit authorization for that provider and scope.
-
Invoke Neo with an optimization-framed prompt. Allow up to 5 minutes. Use Codex's approval flow for required network access, naming the provider and summarized data in the approval description.
neo --json --no-scan --no-memory --mode advise <<'QUERY' Suggest optimizations for the following code. Focus on: algorithmic improvements (lower asymptotic complexity), redundant computation, allocation in hot loops, IO batching opportunities. Skip micro-style changes. <paste current implementation + relevant callers> QUERY -
Present Neo's suggestions ranked by expected impact. Each CodeSuggestion includes
estimated_riskandblast_radius— surface those alongside the recommendation. -
For high-risk changes, recommend benchmarking before applying. Neo's confidence reflects pattern-match strength, not measured speedup.
--no-scan is mandatory: Codex already selected the implementation and
callers, so Neo must not silently add working-directory files to the provider
request.
--no-memory is the default so unrelated stored facts cannot enter the provider
prompt. Omit it only when the user explicitly authorizes relevant Neo memory;
include stored facts as a disclosed data category.
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.
- 10d ago First seen · 72 lines · 59 tokens per session scan A 6a3301b9b004
neo-optimize is a skill published in the GitHub repository Parslee-ai/neo (16 stars, last pushed 2d ago), licensed Apache-2.0. It adds 59 tokens to every session and 866 once invoked, about $0.0003 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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