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 vladolaru/claude-code-plugins --skill optimize-promptgit clone --depth 1 https://github.com/vladolaru/claude-code-pluginsWrote 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/vladolaru/claude-code-plugins/optimize-prompt)<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/optimize-prompt"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/optimize-prompt/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/vladolaru/claude-code-plugins/optimize-prompt"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/optimize-prompt.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.00363 |
| Opus 5.5 | $0.00010 | $0.00145 |
| Sonnet 5.5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
optimize-prompt 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 1mo 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
Codex Host Adapter
This skill is generated from the canonical Claude Code command named above. To execute it in Codex:
- Treat the text supplied after the skill mention as the invocation arguments. Substitute that exact text for
${CODEX_SKILL_ARGUMENTS}before executing shell commands. - Resolve
CODEX_PLUGIN_ROOTto the absolute plugin root. The loaded skill directory is<plugin-root>/codex-skills/<skill-name>, so the plugin root is two directories above the directory containing thisSKILL.md. - Assign both variables explicitly in any shell call that uses them. Codex does not export these instruction variables automatically.
- Use Codex's available user-input and subagent tools when the workflow requests them.
- Follow the canonical workflow below without skipping its gates or artifact checks.
Canonical Workflow
Use the prompt-engineer skill to optimize the following:
${CODEX_SKILL_ARGUMENTS}
If a file path is provided, read the file first and optimize its contents. Common targets:
- Skills (SKILL.md files)
- Agent definitions (agents/*.md)
- CLAUDE.md or memory files
- Any system prompt or instruction file
Apply ALL prompt engineering patterns from the skill's reference files. For EACH change, specify EXACTLY which technique(s) you used:
- Pattern name (e.g., "Progressive Disclosure", "Emphasis Hierarchy")
- Why this pattern applies here
- Expected behavioral impact
CRITICAL: Changes without pattern attribution = task incomplete.
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.
- 1mo ago First seen · 38 lines · 26 tokens per session scan A 5ec33448c7cb
optimize-prompt is a skill published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed 4d ago), licensed MIT. It adds 26 tokens to every session and 363 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…