Dashboard › cli › Distillation
c2a0faec-4662-4243-b226-46b4b1062716["lore_tm_v1_f2DKzRUDYaTj6hRazP4mpKoNjmfXesiXjKPAxDki82Q","lore_tm_v1_FKplzn8UYYnC_BWr0ACPBdjlVhVvLOUGU9MDnZty2fU","lore_tm_v1_PlD7MQu8qzDPKh-bTk57SAZQjayxtC4wqaXnPXetCN4","lore_tm_v1_cuD83NrTC4Rezd23aRx_gqMk8E48kezQ4e-RofPyiVg"]
apps/cli-docs/src/fragments/commands/agent-conversation.md, deleting the manually maintained list/view examples fragment.packages/cli/plugins/sentry-cli/skills/sentry-cli/SKILL.md corrected positional syntax to mark optional parameters: sentry org view [<org>]; sentry project list [<org/project>]; sentry project view [<org/project>]; sentry issue list [<org/project>]; sentry alert issues list [<org/project>]; sentry alert issues create [<target>]; sentry alert metrics list [<target>]; sentry cli completion [<shell>]; sentry cli upgrade [<version>]; sentry agent-conversation list [<org>]; sentry agent-conversation view [<org>/]<conversation-id>; sentry replay list [<org/project>]; sentry release list [<org/project>]; sentry release deploy <org/version> <environment> [<name>]; sentry repo list [<org/project>]; sentry team list [<org/project>]; sentry explore [<target>]; sentry feedback list [<org/project>]; sentry monitor list [<org/project>]; sentry trace list [<org/project>]; sentry trial list [<org>]; sentry trial start <name> [<org>]; and sentry init [<target>] [<directory>].packages/cli/plugins/sentry-cli/skills/sentry-cli/references/agent-conversation.md, alert.md, cli.md, explore.md, feedback.md, init.md, issue.md, monitor.md, org.md, project.md, release.md, replay.md, repo.md, team.md, trace.md, and trial.md.packages/cli/plugins/sentry-cli/skills/sentry-cli/references/agent-conversation.md changed view examples from the obsolete two-argument form sentry agent-conversation view my-org conv-123 to: organization auto-detection via sentry agent-conversation view conv-123; explicit organization via sentry agent-conversation view my-org/conv-123; and JSON output via sentry agent-conversation view my-org/conv-123 --json.sentry agent-conversation list), explicit organization (sentry agent-conversation list my-org), 50 results over 24 hours (--limit 50 --period 24h), filtering (-q "has:errors"), and pagination (my-org -c next).No files found; the searched path or pattern was not included in the displayed result./home/byk/Code/getsentry/cli-pr-1558/packages/cli/.gitignore line 38 ignores src/generated/, with line 41 re-including !src/generated/banner-sixel.ts; /home/byk/Code/getsentry/cli-pr-1558/.gitignore line 64 ignores packages/cli/src/generated/, with line 70 re-including !packages/cli/src/generated/banner-sixel.ts.PR Risk Action scores pull requests as low, medium, or high risk. Inputs are: required repo and pr-number; optional profile default ""; history default ""; model default ""; result-path default risk-pr-result.json; skip-reviews default "true"; apply-label default "true"; label-prefix default "risk: "; and python-version default "3.11".PR Risk Action exports outputs from steps.score.outputs: risk-label, final-risk-label, final-risk-policy, logistic-risk-label, rule-risk-label, logistic-probability, logistic-percentile-repo, rule-percentile-repo, and github-label.actions/setup-python@v5 with ${{ inputs.python-version }}, installs itself using python -m pip install "$GITHUB_ACTION_PATH", and runs scoring in a Bash step with set -euo pipefail.PR Risk Action derives an empty profile as ${INPUT_REPO//\//__}, defaults history to $GITHUB_ACTION_PATH/profiles/$profile/pr-history.jsonl.gz, and defaults model to $GITHUB_ACTION_PATH/profiles/$profile/model.json; it exits with status 1 and a path-specific stderr message if either file is absent.risk-pr score-pr --repo "$INPUT_REPO" --pr "$INPUT_PR_NUMBER" --history "$history" --model "$model" --out "$INPUT_RESULT_PATH" --summary-file "$GITHUB_STEP_SUMMARY"; --skip-reviews is appended when INPUT_SKIP_REVIEWS=true, while --label-pr --label-prefix "$INPUT_LABEL_PREFIX" is appended when INPUT_APPLY_LABEL=true, then executed via "${args[@]}".${{ github.token }} to GITHUB_TOKEN and maps all action inputs used by scoring to environment variables: INPUT_REPO, INPUT_PR_NUMBER, INPUT_PROFILE, INPUT_HISTORY, INPUT_MODEL, INPUT_RESULT_PATH, INPUT_SKIP_REVIEWS, INPUT_APPLY_LABEL, and INPUT_LABEL_PREFIX; applying labels requires issues: write in the caller workflow.