Skills

Regression Sweep

Re-validates every previously-confirmed finding against its current target, detects...

Install

npx skills add transilienceai/communitytools --skill regression-sweep -g -a claude-code -y
Category
Engineering
Updated
3mo ago
License
MIT
Context cost
Lightabout 968 tokens
Runs scripts
No, instructions only

What it does

Re-validates every previously-confirmed finding against its current target, detects drift (patched, mitigated, re-introduced). Cron-driven weekly sweep across the org's validated finding tree.

Regression Sweep

Walk the entire validated/*.json tree, re-fire each finding's poc.py, compare output against the recorded poc_output.txt, and write a weekly drift report. Mounted onto the cloud-agent task #4.

Trigger

Cron weekly (default Mondays 02:00 UTC). May also be invoked ad-hoc after a major patch deployment.

Workflow

  1. Index validated findings. Glob validated/*.json and resolve each entry's FINDING_DIR (under findings/finding-NNN/).
  2. Per finding:
    • Re-run python3 poc.py with a 60-second timeout.
    • Capture stdout/stderr into findings/finding-NNN/evidence/validation/regression-{week}-rerun.txt.
    • Diff against findings/finding-NNN/evidence/validation/poc-rerun-output.txt (the validator's original re-run output) using a normalized line-set comparison (strip timestamps, request IDs, ephemeral tokens).
    • Re-check the finding's CVE via tools/nvd-lookup.py, has severity changed?
  3. Classify each finding into one of:
    • still_valid, re-run matches baseline within tolerance, CVSS unchanged.
    • drift_severity, re-run matches, but CVSS shifted ≥1.0 (NVD re-scored).
    • newly_invalid, re-run output diverges, exploit no longer fires. Likely patched.
    • newly_revalidated, finding had been marked REJECTED later, but now fires again. Regression.
    • inconclusive, re-run errored (network, target unreachable). Retry next sweep.
  4. Write report to artifacts/regression-{YYYYWww}.json + human-readable regression-{YYYYWww}.md. Transitions (newly_revalidated, drift_severity, newly_invalid) appear in the report under explicit headers for analyst review.

Output

{OUTPUT_DIR}/
  artifacts/
    regression-{YYYYWww}.json         # machine-readable result
    regression-{YYYYWww}.md           # human summary
  findings/finding-NNN/evidence/validation/
    regression-{YYYYWww}-rerun.txt    # captured re-run output

regression-{week}.json schema:

Read the whole SKILL.md on GitHub

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