MCPInstall

regression-sweep

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.

Installs
135
Last 24h
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Trending rank
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/transilienceai/communitytools --skill regression-sweep
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads regression-sweep automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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:

{
  "week": "2026W19",
  "swept_at": "2026-05-13T02:00:00Z",
  "counts": {"still_valid": 47, "drift_severity": 2, "newly_invalid": 5, "newly_revalidated": 1, "inconclusive": 3},
  "findings": [
    {"finding_id": "finding-012", "asset": "asset42", "cve": "CVE-2024-12345",
     "verdict": "newly_invalid", "reason": "PoC output diverged: response now 404",
     "baseline_cvss": 9.8, "current_cvss": 9.8}
  ]
}

Rules

  1. Demonstrate, never disrupt. Re-firing a PoC is observation, not mutation. Every poc.py already satisfied the demonstrate-only constraints at validation time (task-03 Safety section); the sweep simply re-executes the same script — which by contract reads a proof signal and exits. If a PoC at re-run attempts a mutating action it should not have contained originally, the sweep aborts that finding with inconclusive and emits a stderr WARN — the PoC needs re-validation, not regression scoring.
  2. Bounded per-PoC time. 60-second timeout per poc.py. Timeouts → inconclusive, not newly_invalid. Avoids false-positive "patched" claims caused by network blips.
  3. Normalized diff. Strip timestamps (\d{4}-\d{2}-\d{2}T\d{2}:\d{2}), request-IDs ([a-f0-9]{32,}), and ephemeral session tokens before comparing. Real exploit output is structurally stable.
  4. No new findings. A regression sweep can flip status of existing findings but cannot create new ones. Newly observed vulns belong to the Validation Run task, not this skill.
  5. Idempotent. Re-running the same week's sweep overwrites the same regression-{YYYYWww}.json. The per-finding regression-{week}-rerun.txt is timestamped to preserve history.
  6. Cap concurrent re-runs. Max 5 parallel PoC re-runs per sweep to avoid hammering production assets.

References

  • reference/diff-normalization.md — full normalization rules and per-finding output-stability heuristics.

FAQ

What does the regression-sweep skill do?

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.

How do I install regression-sweep?

Run npx skills add https://github.com/transilienceai/communitytools --skill regression-sweep in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/regression-sweep/ (personal) or .claude/skills/regression-sweep/ (project).

Which AI agents can use regression-sweep?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is regression-sweep safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains regression-sweep?

It is published by transilienceai in transilienceai/communitytools. It has 135 recorded installs.

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