full-test-suite
Run the project-ops skill bundle end to end: health, bug, security, API contract, docs, and issue reconciliation, then plan and apply verified fixes one at a…
Skill by ravisingh11
Install
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About
Use cases: documents, backend, testing, security
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/full-test-suite
What's inside
- Skill name
full-test-suite- Description
- Run the project-ops skill bundle end to end: health, bug, security, API contract, docs, and issue reconciliation, then plan and apply verified fixes one at a time until no confirmed-open findings remain. Use when a user asks for a full repository audit, project ops sweep, or bundled scan-fix-verify loop across the skill suite.
- License
- MIT
- Instructions
- 79 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (9)
- SKILL.md
- openai.yaml · agents/
- executor.md · references/
- manifest-loop.md · references/
- runner-usage.md · references/
- full_test_suite_executor.py · scripts/
- full_test_suite_runner.py · scripts/
- test_full_test_suite_executor.py · scripts/tests/
- test_full_test_suite_runner.py · scripts/tests/
SKILL.md (first lines)
# Full Test Suite Run the project-ops skill bundle as a meta-skill backed by a deterministic runner. The default mode is audit-then-fix. ## Script-Backed Entry Point Use `scripts/full_test_suite_runner.py` to initialize the run, track skill execution, persist `full-test-suite-manifest.json`, refresh the fix queue, suggest impacted reruns, run deterministic GitHub issue sync, and finalize `full-test-suite-report.md`. When you want the suite to actually drive itself through those next actions, use `scripts/full_test_suite_executor.py`. At the start of a bundle run: 1. Run `python3 scripts/full_test_suite_runner.py init --repo-root . --findings-path project-audit-findings.md --report-path full-test-suite-report.md --manifest-path full-test-suite-manifest.json --scope "<scope>" --mode <mode> --profile <profile>`. 2. Use `../_shared-project-ops/scripts/project_ops_state.py` to upsert or merge findings in `project-audit-findings.md`. 3. Drive the bundle from `python3 scripts/full_test_suite_runner.py next-action --manifest-path full-test-suite-manifest.json`. 4. After each completed fix, record it with `python3 scripts/full_test_suite_runner.py record-fix --manifest-path full-test-suite-manifest.json --finding-id <id> --surfaces "<paths>" --types "<types>"`. 5. When `next-action` returns `sync-issues`, run `python3 scripts/full_test_suite_runner.py sync-issues --manifest-path full-test-suite-manifest.json`. 6. Finalize only after `next-action` returns `finalize`, using `python3 scripts/full_test_suite_runner.py finalize --repo-root . --findings-path project-audit-findings.md --report-path full-test-suite-report.md --manifest-path full-test-suite-manifest.json`. ## Supported Modes - default: full core audit, issue sync, fix queue, one-by-one fix and verify loop - `mode=scan-only`: no code fixes; produce findings and issue updates only - `mode=rerun-impacted`: rerun affected skills after recent fixes - `mode=resume`: continue from existing `project-audit-findings.md` and issue state ## Core Sequence 1. Initialize run context: repo root, branch, dirty worktree, `gh` availability, and constraints. 2. Run `$project-health-check`. 3. Run `$bug-hunter`. 4. Run `$security-audit-lite`. 5. Run `$api-contract-auditor`. 6. Run `$docs-sync`. 7. Run `$issue-operator`. 8. Consolidate findings and dedupe root causes. 9. Build a fix queue from confirmed findings only. 10. Fix and verify one confirmed finding at a time. 11. Rerun only impacted skills. 12. Require a clean post-fix full scan with no new actionable findings. 13. Finalize `full-test-suite-report.md` and `full-test-suite-manifest.json`. ## Decision Rules - `project-audit-findings.md` is the shared local source of truth. - Only `confirmed-open` findings enter the fix queue. - Group only tightly related fixes. - Close GitHub issues only after verification evidence is recorded locally. - Stop when no `confirmed-open` or `in-progress` findings remain. - Keep `blocked` and `needs-context` items clearly separated in the final report. - Preserve unrelated dirty worktree changes; do not revert or restage files outside the current fix. - Ask before destructive repository or GitHub administration operations unless the user explicitly requested that class of action. - Prefer focused reruns after each fix rather than broad churn that obscures causality. ## Profiles - `core`: phase-1 skills only - `pre-release`: add `$release-readiness`, `$test-gap-finder`, `$dependency-risk-review`, and `$refactor-safety-check` - `deep-audit`: add `$onboarding-doc-builder`, `$observability-gap-review`, `$config-drift-auditor`, `$data-model-migration-review`, and `$frontend-regression-review` If a profile references a skill that is unavailable or out of scope, record the skip in `full-test-suite-report.md`. ## Outputs - `project-audit-findings.md` - `full-test-suite-report.md` - `full-test-suite-manifest.json` ## References - Finding format: `../_shared-project-ops/references/finding-format.md` - State CLI: `../_shared-project-ops/references/state-cli.md` - Execution report format: `../_shared-project-ops/references/execution-report-format.md` - Dedupe rules: `../_shared-project-ops/references/dedupe-rules.md` - Rerun policy: `../_shared-project-ops/references/rerun-policy.md` - Verification template: `../_shared-project-ops/references/verification-template.md` - Runner usage: `references/runner-usage.md` - Manifest loop: `references/manifest-loop.md` - Executor: `references/executor.md`
From ravisingh11/ai-software-toolkit, MIT.
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Signals
- Stars
- 5
- Forks
- 10
- Open issues
- 0
- Last commit (this folder)
- Aug 27, 2026 (2 months ago)
- Last release
- Oct 23, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Perform repository-grounded full product reviews that assess what is working, what needs improvement, which structural issues should be revisited, and which…
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commit-message-enforcer
ravisingh11
Standardize, review, and enforce enterprise-grade commit messages using Conventional Commits, scoped types, breaking-change footers, and clear history hygiene.
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code-review
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Cite this page
full-test-suite skill. Agent Mart. https://agentmart.dev/skills/ravisingh11-full-test-suite (last updated 2026-10-24)