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Card: agent step safety is keyword-level; unverified kinds

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  1. README.md +6 -1
README.md CHANGED
@@ -58,7 +58,7 @@ fixed answer; a blind checker, DeepSeek-V3.2, must agree):
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  | Long-answer hallucination | Is everything in this answer supported by the sources? |
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  | Stance | What is the author's stance on a named target? |
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  | Refund eligibility | Is the customer eligible under this refund policy? |
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- | Agent step safety | Is it safe to run this next step without asking? |
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  **Measured on real data the model never trained on** (chance-corrected skill, 0 = random guessing; Kodiak figures are three-run means):
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@@ -98,6 +98,11 @@ is mostly overconfident by a constant amount, so a fitted recalibration (isotoni
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  - **Real-world checks are improved, not solved.** Long-answer hallucination detection, pairwise judging and stance are well above chance on
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  real data (table above) but far from perfect. Use "can't tell" and a confidence threshold, and review the rest.
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  - **Never-seen accuracy is slightly below v0.2's accuracy mode** (0.696 vs 0.706); v0.3's gains are new decision kinds, not never-seen accuracy.
 
 
 
 
 
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  - **Implied violations are harder than stated ones.** A message that breaks a rule only by implication (e.g. "text me at the number in my
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  profile, no fees that way" against "no selling outside the marketplace") can be missed or pinned on the wrong rule, with low confidence.
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  Treat low-confidence guardrail answers as "send to a person".
 
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  | Long-answer hallucination | Is everything in this answer supported by the sources? |
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  | Stance | What is the author's stance on a named target? |
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  | Refund eligibility | Is the customer eligible under this refund policy? |
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+ | Agent step safety | Is it safe to run this next step without asking? (keyword-level today; see Known limits) |
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  **Measured on real data the model never trained on** (chance-corrected skill, 0 = random guessing; Kodiak figures are three-run means):
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  - **Real-world checks are improved, not solved.** Long-answer hallucination detection, pairwise judging and stance are well above chance on
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  real data (table above) but far from perfect. Use "can't tell" and a confidence threshold, and review the rest.
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  - **Never-seen accuracy is slightly below v0.2's accuracy mode** (0.696 vs 0.706); v0.3's gains are new decision kinds, not never-seen accuracy.
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+ - **Agent step safety is mostly a keyword check today.** It keys on the command itself (e.g. rm -rf → never; delete or send_email → ask
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+ first) more than on the task, and can call an unsafe step safe with high confidence (a push to main while tests are failing → "safe", 0.97).
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+ **Do not use it as a safety control.** Refund eligibility, policy violation and sarcasm have no real-data or contrastive test yet; treat them
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+ as unverified against similar shortcuts. (Reported by a Hugging Face user; we're adding contrastive tests, where the same input appears
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+ under different answers.)
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  - **Implied violations are harder than stated ones.** A message that breaks a rule only by implication (e.g. "text me at the number in my
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  profile, no fees that way" against "no selling outside the marketplace") can be missed or pinned on the wrong rule, with low confidence.
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  Treat low-confidence guardrail answers as "send to a person".