Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add sernoxxx/claude-prompt-boost/plugin install claude-prompt-boostWrote 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/commands/sernoxxx/claude-prompt-boost/boost)<a href="https://agentmods.dev/commands/sernoxxx/claude-prompt-boost/boost"><img src="https://agentmods.dev/badge/commands/sernoxxx/claude-prompt-boost/boost/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/commands/sernoxxx/claude-prompt-boost/boost"><img src="https://agentmods.dev/badge/commands/sernoxxx/claude-prompt-boost/boost.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 | $0.00010 | $0.00120 |
| Opus 5 | $0.00005 | $0.00060 |
| Sonnet 5 | $0.00002 | $0.00024 |
| Haiku 4.5 | $0.00001 | $0.00012 |
Grade A, and why
boost 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 8d 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
!python3 ~/.claude/hooks/prompt_boost.py --cmd
Do exactly what the block above says, starting with its first instruction, and nothing beyond it.
If the block above is an error or the unexecuted command line rather than its output, run the same command with Bash first - swapping the path for $CLAUDE_PLUGIN_ROOT/hooks/prompt_boost.py if this is installed as a plugin - and then follow what it prints.
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.
- 8d ago First seen · 15 lines · 10 tokens per session scan A 28baae75bfcd
boost is a command published in the GitHub repository sernoxxx/claude-prompt-boost (2 stars, last pushed 27d ago), licensed MIT. It adds 10 tokens to every session and 120 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.
Other commands, from other repositories
prompt-review
Scan prompts for ground rule, KISS/DRY, AI sweep, and context budget violations.
prompt-optimize
Apply fixes for issues found by prompt-review.
prompt-create
Create a new prompt following ground rules.
p
Prompt optimizer · clarify only if needed, rewrite your request into a sharper prompt, then carry it out. Prefix --dry to stop at the rewrite.
fix-prompt
Fix and improve a rough prompt — show the cleaned version and the changes before acting on it.
gen-image
Generate a brand-aligned AI image — tool selection, full prompt (subject, style, lighting, camera, mood, negatives), variation prompts, and seed strategy. Works across Midjourney, DALL-E, Ideogram, Firefly, and Stable Diffusion.