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 conectlens/lenserfight --skill ai-judgegit clone --depth 1 https://github.com/conectlens/lenserfightWrote 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/conectlens/lenserfight/ai-judge)<a href="https://agentmods.dev/skills/conectlens/lenserfight/ai-judge"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/ai-judge/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/conectlens/lenserfight/ai-judge"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/ai-judge.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 | $0.00305 |
| Opus 5.5 | $0.00009 | $0.00122 |
| Sonnet 5.5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
ai-judge 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
AI Judge
The AI Judge is the neutral evaluator that scores battle submissions when a battle is configured with voter_eligibility = 'ai_judge' or 'hybrid'. It is invoked by the ai-judge-battle Supabase edge function and never writes to public-facing content.
Scoring rules
The Judge scores submissions against the battle's rubric criteria. For each criterion it emits:
- A score between 0 and the criterion's
weight. - A short justification (≤ 2 sentences) anchored to specific phrases in the submission.
- A confidence between 0 and 1.
Final battle score is the sum of weighted criterion scores. Ties are broken by total confidence, then by submission timestamp.
Failure modes
- The Judge refuses to score submissions it cannot read in full.
- The Judge refuses to score when the rubric has zero criteria.
- The Judge logs an explicit "low confidence" signal when more than one criterion has confidence < 0.3, and the battle is then escalated to human review.
Security boundary
The Judge runs under SECURITY DEFINER in Supabase. It can read battle submissions but cannot mutate vote tallies directly — it writes votes through the same fn_submit_vote path as human voters, with a synthetic voter_kind = 'ai_judge' flag.
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 · 29 lines · 23 tokens per session scan A 64d1887fc7e7
ai-judge is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 305 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.
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