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 seungwee-choi/oh-my-personal-best/plugin install oh-my-personal-bestWrote 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/seungwee-choi/oh-my-personal-best/pb-setup)<a href="https://agentmods.dev/skills/seungwee-choi/oh-my-personal-best/pb-setup"><img src="https://agentmods.dev/badge/skills/seungwee-choi/oh-my-personal-best/pb-setup/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/seungwee-choi/oh-my-personal-best/pb-setup"><img src="https://agentmods.dev/badge/skills/seungwee-choi/oh-my-personal-best/pb-setup.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 | $0.00023 | $0.01461 |
| Opus 5.5 | $0.00009 | $0.00584 |
| Sonnet 5.5 | $0.00005 | $0.00292 |
| Haiku 4.5 | $0.00002 | $0.00146 |
Grade A, and why
pb-setup 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 2mo 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Use_When>
- The runner just installed the plugin, or asks "how do I start / set up / get started / 시작"
OMPB_HOMEhas notraining-log.jsonlyet (no data imported)runner-profile.jsonis missing- Keyword triggers: "setup", "get started", "온보딩", "시작하기", "처음", "first run" </Use_When>
<Do_Not_Use_When>
- The runner is already set up (profile + log exist) and just wants a normal action — route to the specific command/skill instead. </Do_Not_Use_When>
Step 0 — Resolve paths
Confirm $CLAUDE_PLUGIN_ROOT is set (it is, inside an installed plugin). Determine the data home:
python3 "$CLAUDE_PLUGIN_ROOT/scripts/ompb_env.py" --print-home # or: import resolve_home
Report to the runner: "Scripts: $CLAUDE_PLUGIN_ROOT/scripts · Data home: ". If they want a
specific location, they can export OMPB_HOME=~/.ompb before continuing.
Step 0b — Language
Ask the runner's preferred language for communication and reports: English or 한국어. Write it
to $OMPB_HOME/config.json as {"language": "en"} or {"language": "ko"} (default en if they
don't care). From here on, respond in that language; report/weekly-card rendering picks it up via
--lang automatically. The runner can change it later by saying "한국어로" / "use English".
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.
- 2mo ago First seen · 105 lines · 23 tokens per session scan A 11a112c6c559
pb-setup is a skill published in the GitHub repository seungwee-choi/oh-my-personal-best (3 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 1,461 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 2026-08-31.
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