Dependabot Triage & Fix — Python (v2.1)

v2.1 highlights

• Two modes — Standard and Fast-Track. Standard is the defensive workflow (full exposure mapping, changelog scrape, safety interlock). Fast-Track is for low-risk bumps (Internal/Dev category, CVSS < 7, or user opt-in) — skips changelog + detailed exposure enumeration, single-confirmation interlock. Parity check + dual-write are non-negotiable in BOTH modes.
• CI workflow inspection — first-class detection step. Lockfile alone doesn't tell you what runs in CI. CI may use a different PM than the committed lockfile (e.g. yarn.lock committed, CI runs npm install), or may run <pm> install instead of lockfile-strict <pm> ci. Detection drives the override + parity matrix.
• Defensive versioning — pick the minimal patched version that fixes all in-cluster CVEs, not "latest in same major".
• Exposure Mapping replaces heuristic reachability — categorize every import site (Public/API · Client-Bundle · Internal/Dev) and present surface area to the user instead of trying to prove unreachability.
• Mandatory lockfile parity check — every PM that touches the manifest must resolve to the same version of the target package; mismatch aborts the PR. Required because CI/CD often runs a different PM than local sanity checks.
• Changelog scrape with safety interlock (Standard mode) — fetch release notes / CHANGELOG between current and target, flag BREAKING / DEPRECATED / MIGRATION keywords, pause for explicit user confirmation before applying the bump.
• Auto-reversion — if Fast-Track fails parity or the build fails post-bump, the skill offers to switch back to Standard mode for deeper analysis instead of grinding on retries.
• Org-level fan-out is opt-in only — never auto-trigger; org enumeration burns API rate limit and surfaces non-JS noise.

In scope for this skill: pip, poetry, uv, pdm, pipenv.

Scope

Only Python repos — pip, poetry, uv, pdm, pipenv ecosystems. Covers backend services (Django, Flask, FastAPI, Starlette, AIOHTTP), Lambda handlers, Celery workers, CLI tools, libraries, and notebook/script projects.