mega-pipeline
salesforce/cloudsplaining/.claude/skills/mega-pipeline/SKILL.md
Closed-loop pipeline that takes a decided change (e.g. onboarding a pathfinding.cloud privilege-escalation technique) through implementation, code review, bug-hunt, report QA (example data and optionally a real AWS account), a pre-push safety scan, and a PR — never pushing to main. This skill should be used to drive a privesc-onboarding change end-to-end with minimal mid-run gates.
Skill2.2k starsChanged 4 months ago
- Commits and pushes
What's in it
- Mega Pipeline
- Principles
- Phases
- 0. Frontload ALL decisions (AskUserQuestion)
- 1. Baseline
- 2. Implement
- 3. Code review
- 4. Bug hunt
- 5. Security review
- 6. Simplify
- 7. Example-data QA
- 8. Live-account QA (opt-in)
- 9. Pre-push safety gate
- 10. PR
- Termination
Tools it asks for
- Bash(just:*)
- Bash(uv run:*)
- Bash(git add:*)
- Bash(git commit:*)
- Bash(git checkout:*)
- Bash(git switch:*)
- Bash(git push:*)
- Bash(gh pr create:*)
- Edit
- Read
- Write
--- name: mega-pipeline description: Closed-loop pipeline that takes a decided change (e.g. onboarding a pathfinding.cloud privilege-escalation technique) through implementation, code review, bug-hunt, report QA (example data and optionally a real AWS account), a pre-push safety scan, and a PR — never pushing to main. This skill should be used to drive a privesc-onboarding change end-to-end with minimal mid-run gates. allowed-tools: Bash(just:*), Bash(uv run:*), Bash(git add:*), Bash(git commit:*), Bash(git checkout:*), Bash(git switch:*), Bash(git push:*), Bash(gh pr create:*), Edit, Read, Write --- # Mega Pipeline A closed loop for shipping a cloudsplaining change safely, tuned for onboarding pathfinding.cloud privilege-escalation techniques. NEVER pushes to `main`; ends at a PR. ## Principles - **Frontload decisions** (phase 0) so the loop runs with minimal interruptions. - **Pure executor inside** — planning happens in phase 0 / `triage-github-issue`, not mid-loop. - **Fail-closed safety** before any push. - **Bounded** — at most 2 feedback iterations, then surface to the user. ## Phases ### 0. Frontload ALL decisions (`AskUserQuestion`) Gather every interactive decision up front so phases 1–10 run without stopping to ask the user. Capture and record a run config; later phases READ it and must NOT re-prompt: - **Techniques:** method name(s) + action list(s) to onboard (from `research/pathfinding-cloud/proposed-privilege-escalation-methods.py`), and how to handle variant supersets / noisy single-action methods (`INTEGRATION-ANALYSIS.md` §5). - **Live-account QA:** a specific AWS profile to scan (choose from `aws configure list-profiles`) **or** "skip live". If a profile is chosen, also capture whether to **auto-wipe** the live artifacts afterward (default: yes). - **Codex adversarial review:** detect now whether a codex adversarial-review skill is installed. If it is NOT, ask here whether to pause-and-install (recommended) or continue without it — so phase 3 never has to stop. - **PR base branch.** ### 1. Baseline Create a clean branch off the base, then confirm green: ```bash just unit-tests && just type-check && just test-js ``` ### 2. Implement For each decided technique, invoke the `onboard-privesc-technique` skill (executor). No re-planning here. ### 3. Code review Run the `code-review` skill (review-only) on the diff. Then act on the **phase-0 codex decision**: run one codex adversarial-review pass if it is available, otherwise skip with a ⚠️ note. Do NOT prompt here — the install-or-skip choice was already made in phase 0. ### 4. Bug hunt Run the `find-bugs` skill on the branch diff. ### 5. Security review Run the `security-review` skill on the pending changes. Cloudsplaining is itself a security tool, so a dedicated security pass over the diff (injection, unsafe parsing/eval, secret handling, path traversal, etc.) is warranted before shipping. ### 6. Simplify Run the `simplify` skill to apply reuse / simplification / efficiency / altitude cleanups to the changed code (quality only — it does NOT hunt for bugs; that is phases 3-5). Because `simplify` MUTATES the working tree, re-run the baseline afterward and confirm green: ```bash just unit-tests && just type-check && just test-js ``` ### 7. Example-data QA Run the `report-regression-check` skill (snapshot → `just generate-report` → `just compare-reports` → dogfood). It must show findings ADDED and none removed. ### 8. Live-account QA (opt-in) Only if a profile was chosen in phase 0: run the `scan-live-account` skill, **passing it the phase-0 profile and auto-wipe choice** so it does not re-prompt. It QAs via `qa-report` and wipes its output per that choice. ### 9. Pre-push safety gate ```bash just safety-scan ``` Must exit 0; fail closed otherwise. ### 10. PR Push the branch and open a PR with `gh pr create --base <base>` — NEVER `main` directly. Optionally run the `iterate-pr` skill to drive CI/feedback green. ## Termination Findings from phases 3/4/5/7/8 route back to phase 2 (re-implement) or phase 6 (re-simplify). After at most 2 iterations with unresolved findings, STOP and surface them via `AskUserQuestion` rather than looping further.
More agent context in salesforce/cloudsplaining
10 other files this repository gives its agents.
CLAUDE.md
Skill
- agent-browser.claude/skills/agent-browser/SKILL.md
- dogfood.claude/skills/dogfood/SKILL.md
- find-bugs.claude/skills/find-bugs/SKILL.md
- iterate-pr.claude/skills/iterate-pr/SKILL.md
- onboard-privesc-technique.claude/skills/onboard-privesc-technique/SKILL.md
- qa-report.claude/skills/qa-report/SKILL.md
- report-regression-check.claude/skills/report-regression-check/SKILL.md
- scan-live-account.claude/skills/scan-live-account/SKILL.md
- triage-github-issue.claude/skills/triage-github-issue/SKILL.md
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