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-imagesgit 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-images)<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/optimize-images"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/optimize-images/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-images"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/optimize-images.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 | $0.00038 | $0.00321 |
| Opus 5.5 | $0.00015 | $0.00128 |
| Sonnet 5.5 | $0.00008 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
optimize-images 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 29d 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
Optimize Images
Target: ${CODEX_SKILL_ARGUMENTS}
Load the image-optimization skill and follow its method for the target above. If the target names no files or folders, ask the human which images to work on and what they are for.
Use the lossless profile unless the human says the images may change visibly, and write no file before the skill's approval gates are met.
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.
- 29d ago Changed · -76 lines · +16 tokens per session 44a2110b076f
- 2mo ago First seen · 105 lines · 22 tokens per session scan A bab512dbdc5e
optimize-images is a skill published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed 5d ago), licensed MIT. It adds 38 tokens to every session and 321 once invoked, about $0.0002 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 2026-08-31.
optimize-images compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| optimize-imagesvladolaru/claude-code-plugins | Skill | 8 | 5d ago | MIT | A | 38 | Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |