
Simplify And Harden Ci
- 4 installs
- 272 repo stars
- Updated June 12, 2026
- pskoett/pskoett-skills
Helps with ai & agent building tasks.
About
simplify-and-harden-ci is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- simplify-and-harden-ci
- AI & Agent Building
- AI-coding skill
Simplify And Harden Ci by the numbers
- 4 all-time installs (skills.sh)
- Ranked #13,348 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 4 |
|---|---|
| repo stars | ★ 272 |
| Last updated | June 12, 2026 |
| Repository | pskoett/pskoett-skills ↗ |
What it does
Helps with ai & agent building tasks.
Files
Simplify & Harden CI
Install
gh skill install pskoett/pskoett-skills simplify-and-harden-ciFallback using the Agent Skills CLI:
npx skills add pskoett/pskoett-skills/skills/simplify-and-harden-ciPurpose
Run a CI-only variant of Simplify & Harden in pull requests:
- No code mutation in CI
- Review only changed files
- Emit structured findings
- Optionally block merge based on severity gates
Use simplify-and-harden for interactive/local coding sessions.
Context Limitation (Important)
CI agents do not have the same peak implementation context as the coding agent that wrote the change. Treat CI findings as structured review signals, not as full intent-aware rewrites.
Implications:
- Prefer scan/report and merge gating
- Do not auto-apply code changes in CI
- Escalate ambiguous findings to interactive review
Prerequisites
1. GitHub Actions enabled for the repository 2. GitHub CLI authenticated (gh auth status) 3. gh-aw installed locally for authoring/validation:
gh extension install github/gh-aw4. In GitHub Actions jobs, install the CLI with:
- uses: github/gh-aw/actions/setup-cli@main
with:
version: v0.2.0-betaCI Contract
The CI skill must enforce:
1. Scope lock: review only files changed in the PR 2. Headless execution: report findings, do not apply patches/refactors 3. Structured output: emit simplify_and_harden summary payload 4. Gate policy:
critical: fail check when critical harden findings existadvisory(optional): fail check when advisory findings are configured to block
Authoring Workflow (gh-aw)
Example-only template lives in references/workflow-example.md. Keep it outside .github/workflows until you explicitly want automation enabled.
When ready to enable: 1. Copy references/workflow-example.md template block into .github/workflows/simplify-and-harden-ci.md. 2. Compile and validate workflow:
gh aw compile --validate --strict3. Trigger and push workflow changes:
gh aw run simplify-and-harden-ci --push4. Check status/logs in GitHub Actions and ensure PR feedback is posted.
Prompt Template (CI)
Use this prompt body in your gh-aw workflow:
Run Simplify & Harden in CI (headless mode) for this pull request.
Rules:
1) Review only files changed in this PR.
2) Do not modify repository files.
3) Before reporting findings, re-read all changed code with "fresh eyes" and actively look for obvious bugs, errors, confusing logic, brittle assumptions, naming issues, and missed hardening opportunities.
4) Simplify pass: detect dead code, naming clarity issues, control-flow complexity, unnecessary API surface, and over-abstraction.
5) Harden pass: detect input-validation gaps, injection vectors, auth/authz issues, secret exposure, data leaks, and concurrency risks.
6) Document pass: suggest non-obvious rationale comments as findings (do not edit files).
7) Emit structured YAML under key `simplify_and_harden`, including:
- simplify findings
- harden findings (critical/advisory split)
- summary counts
- `review_followup_required`
- learning loop candidates for self-improvement ingestion
8) If blocking policy is enabled and matching findings exist, mark the run as failed.Recommended Outputs
1. PR comment with concise findings and severity ordering 2. Check run summary with pass/fail reason 3. Machine-readable YAML artifact for downstream automation
Integration with Self-Improvement
Forward simplify_and_harden.learning_loop.candidates into .learnings/LEARNINGS.md via the self-improvement workflow so recurrent patterns can be promoted into durable agent context rules.
Workflow Example (Non-Active)
This is an example template only. Keep it outside .github/workflows so nothing runs automatically.
When you are ready to enable CI automation: 1. Copy this template into .github/workflows/simplify-and-harden-ci.md 2. Adjust permissions, policy thresholds, and prompt details 3. Validate with gh aw compile --validate --strict
---
on:
pull_request:
types: [opened, synchronize, reopened, ready_for_review]
workflow_dispatch:
permissions:
contents: read
actions: read
pull-requests: read
tools:
github:
toolsets: [pull_requests, actions]
safe-outputs:
add-comment:
max: 1
strict: true
---
Run Simplify & Harden in CI (headless mode) for this pull request.
Rules:
1) Review only files changed in this PR.
2) Do not modify repository files.
3) Simplify pass: detect dead code, naming clarity issues, control-flow complexity,
unnecessary API surface, and over-abstraction.
4) Harden pass: detect input-validation gaps, injection vectors, auth/authz issues,
secret exposure, data leaks, and concurrency risks.
5) Document pass: suggest non-obvious rationale comments as findings (do not edit files).
6) Emit structured YAML under key `simplify_and_harden`.
7) If blocking policy is enabled and matching findings exist, fail the run.