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 PVRLabs/aibadger --skill badger-reviewgit clone --depth 1 https://github.com/PVRLabs/aibadgerWrote 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/pvrlabs/aibadger/badger-review)<a href="https://agentmods.dev/skills/pvrlabs/aibadger/badger-review"><img src="https://agentmods.dev/badge/skills/pvrlabs/aibadger/badger-review/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/pvrlabs/aibadger/badger-review"><img src="https://agentmods.dev/badge/skills/pvrlabs/aibadger/badger-review.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 | $0.00040 | $0.00271 |
| Opus 5 | $0.00020 | $0.00135 |
| Sonnet 5 | $0.00008 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
badger-review 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.
What it actually says
Badger Code Review
Create .badger-handoff in the current working directory, or another workspace
directory explicitly selected by the user. Do not discover a Git root.
Summarize the current conversation briefly with strong recency bias. Include the user's request, what was just implemented, recent decisions and constraints, verification already performed, and reviewer attention points.
Always write this exact UTF-8 framing:
BADGER-HANDOFF-V1
mode: review
<compact review guidance>
Keep the complete file at or below 65,536 bytes. The body is conversation state only: do not inspect or include repository files, diffs, Git state, or topology. Badger collects review context itself.
After writing successfully, derive the absolute directory from the written file path and print exactly:
Badger handoff prepared.
In a separate terminal, run:
cd '/absolute/path/to/the-written-directory'
badger continue
Substitute the actual POSIX-shell-quoted directory. Do not invoke Badger or use another transport.
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 · 42 lines · 40 tokens per session scan A ba90a6a03f91
badger-review is a skill published in the GitHub repository PVRLabs/aibadger (35 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 271 once invoked, about $0.0002 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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