# cc-steer sample-negatives


Sample gate training windows: rewound positives, hard and random negatives.


``` bash
cc-steer sample-negatives [OPTIONS]
```


Positive windows and hard negatives are recomputed from the judged corpus and deduped by key; random negatives parse a budgeted, seed-deterministic batch of transcripts that carry none yet, excluding anything near a detected event, so repeated passes extend coverage. No LLM calls.


<span class="gd-details-chevron" aria-hidden="true"></span>Full --help output


    Usage: cc-steer sample-negatives [OPTIONS]

      Sample gate training windows: rewound positives, hard and random negatives.

      Positive windows and hard negatives are recomputed from the judged corpus
      and deduped by key; random negatives parse a budgeted, seed-deterministic
      batch of transcripts that carry none yet, excluding anything near a detected
      event, so repeated passes extend coverage. No LLM calls.

    Options:
      --seed INTEGER           Deterministic sampling seed.  [default: 1]
      --sessions INTEGER       Maximum transcripts to parse this pass.  [default:
                               400]
      --per-session INTEGER    Random negatives per transcript.  [default: 20]
      --resample               Revisit sessions that already carry random samples.
      --transcripts DIRECTORY  Transcript roots to mine. Defaults to
                               ~/.claude/projects plus the mirror corpus.
      --db FILE                Database path. Defaults to ~/.cc-steer/feedback.db.
      --help                   Show this message and exit.


# Options


`--seed: INTEGER = 1`  
Deterministic sampling seed.

`--sessions: INTEGER = 400`  
Maximum transcripts to parse this pass.

`--per-session: INTEGER = 20`  
Random negatives per transcript.

`--resample`  
Revisit sessions that already carry random samples.

`--transcripts: DIRECTORY`  
Transcript roots to mine. Defaults to ~/.claude/projects plus the mirror corpus.

`--db: FILE`  
Database path. Defaults to ~/.cc-steer/feedback.db.