anthropics / anthropics/claude-code

[Bug] Overly broad safeguard triggers false positive on legitimate internal IT administration and network diagnostics

Open
#87,816 0 comments 0 reactions 0 assignees View on GitHub
area:model bug platform:macos stale
Dominant language
Python
Stars
145k
Forks
23.1k
PR merge metrics
PR metrics pending

Description

**Bug Description**
Category: False positive — safeguard model-switch on legitimate work

I'm an internal IT administrator. I was diagnosing a slow camera feed at one of our own facilities, over our own private network, using our own authorized maintenance access — routine sysadmin work. I was also scoping on-prem occupancy analytics (counting how many people are in each area of our own facility) for staffing and equipment-ROI decisions.

Opus 5's safeguards flagged the thread and auto-switched me to Opus 4.8. The likely triggers were benign in context: "surveillance camera", "count people per area", read-only network inventory of our own subnets, and my reporting of a configuration weakness I found on our own equipment so we could fix it.

No offensive security, no third-party systems, no evasion — everything targeted assets my organization owns and I'm authorized to maintain. Please tune so authorized IT operations and on-prem camera analytics don't trip the model downgrade.

**Environment Info**
- Platform: darwin
- Terminal: iTerm.app
- Version: 2.1.235
- Feedback ID: dd9f5621-21e4-44cb-a715-9cc66dcd77a9

**Errors**
```json
[]
```

Contributor guide

No contributing guide indexed for this repository

Research direction

The payload names no source files, tests, or entry points; begin by tracing the safeguard model-switch behavior associated with feedback ID dd9f5621-21e4-44cb-a715-9cc66dcd77a9. Reproduce the authorized IT diagnostics and on-prem camera-analytics context, then verify legitimate work no longer triggers the downgrade without weakening safeguards.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
security
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.