ai-assist-test-audit
16-dimension test suite audit with depth control (quick/standard/deep), gap matrix, and health scoring. Covers coverage, quality, mocking, data management, CI/CD, performance, mutation testing, and modern patterns. Use when evaluating test suite quality, identifying testing gaps,
Profil aset
Riset dan pekerjaan pengetahuan
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Skenario
Agent riset
I need my agent to research a topic, compare sources, and produce a concise report.
Kecocokan Agent
Claude Code + CLI + Codex
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-test-audit
Pemeliharaan
Terkini
1 hari sejak push
Risiko
Perlu ditinjau
Lisensi tidak jelas
Kualitas GitHub
88
61/100 Kualitas · 66/100 Kepercayaan
Tag cakupan
Catatan ulasan
Lisensi tidak jelas · Financial research output is not financial advice; require human review before any live investment decision
Kartu adopsi Agent
Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat
Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.
Kualitas
MenjanjikanUseful candidate, but compare it with alternatives before adopting.
Kepercayaan
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Perlu ditinjauTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Choose a stronger alternative or inspect the source manually before any install attempt.
Star
88 star GitHub
Aktivitas repositori
88 star dan 12 fork
Pemeliharaan
1 hari sejak push
Lisensi
Tidak diketahui
Pasang
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-test-audit
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
filesystem or document access, network or browser access
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Usable metadata, review docs
Ringkasan risiko
Tinjau sebelum produksi
- Repository license is unknown; consider adding a license file for clarity.
- Financial research output is not financial advice; require human review before any live investment decision.
- Lisensi tidak jelas
- Quality score needs review
Kesiapan pemasangan
Jalur pemasangan tersedia
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Lisensi tidak jelas
- Belum ada bukti hasil Agent-Proven
Metadata yang dapat dibaca Agent
Data keputusan yang dapat dibaca mesin untuk skill ini.
Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.
Tugas yang sesuai
- Alur kerja Agent riset
- Tim Claude Code
- builders willing to evaluate younger projects
- Sumber pencarian
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add jparkerweb/ai-assist-skills --skill ai-assist-test-audit
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 58/100
- Audit
- 73/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-test-auditJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- Repository license is unknown; consider adding a license file for clarity.
- Lisensi tidak jelas
- Financial research output is not financial advice; require human review before any live investment decision
Keamanan Agent v2
57/100 · Tinjau sebelum memasang
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Sedang
Akses jaringan
Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.
Sedang
Akses sistem file
Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.
- Lisensi tidak jelas
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install jparkerweb-ai-assist-test-auditRencana resolusi Agent
Biarkan Agent memverifikasi kecocokan sebelum memasang.
API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.
Buka JSON
/api/agent/resolve?task=Use%20ai-assist-test-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20ai-assist-test-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/jparkerweb-ai-assist-test-audit/install
Agent harus memeriksa
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Salin prompt
Task: Use ai-assist-test-audit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-assist-test-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-test-audit/install
Install command: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-test-audit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Serah-terima Agent
Berikan jalur pemasangan kepada Agent, bukan direktori lain.
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
Serah-terima pemasangan
/api/skills/jparkerweb-ai-assist-test-audit/install
Format teks LLM
/api/skills/jparkerweb-ai-assist-test-audit/install?format=text
Cari alternatif
/api/skills/search?q=ai-assist-test-audit&limit=3
Prompt Agent
Use ai-assist-test-audit for this task. Review https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-test-audit/install, then install with: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-test-auditMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/jparkerweb-ai-assist-test-audit
Teks LLM
/api/registry/manifest/jparkerweb-ai-assist-test-audit?format=text
Alias pemasangan
/api/registry/install/jparkerweb-ai-assist-test-audit
Rekomendasikan
/api/registry/recommend?task=Use%20ai-assist-test-audit%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Agent riset
Tag use case
Platform
Claude Code
Laporan audit
Perlu ditinjau · 73/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
Agent riset
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- Alur kerja Agent riset
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 61/100
- 3 event interaksi OpenAgentSkill
tinjau dulu
- Repository license is unknown; consider adding a license file for clarity.
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Profil kepercayaan
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adopsi GitHub
Periksa88 star GitHub
Aktivitas star/fork
Periksa88 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus1 hari sejak push
Kejelasan lisensi
PeriksaTidak diketahui
Sinyal positif
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- Repository license is unknown; consider adding a license file for clarity.
- Financial research output is not financial advice; require human review before any live investment decision.
- Lisensi tidak jelas
- Quality score needs review
- GitHub adoption: 88 GitHub stars
- Stars/forks activity: 88 stars, 12 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Choose a stronger alternative or inspect the source manually before any install attempt.
Profil kualitas
Menjanjikan kandidat untuk alur kerja Agent
Useful candidate, but compare it with alternatives before adopting.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Daftar alternatif
Bandingkan sebelum memasang
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Ringkasan
--- name: ai-assist-test-audit description: "16-dimension test suite audit with depth control (quick/standard/deep), gap matrix, and health scoring. Covers coverage, quality, mocking, data management, CI/CD, performance, mutation testing, and modern patterns. Use when evaluating test suite quality, identifying testing gaps, or assessing test infrastructure health." argument-hint: "[quick|standard|deep] [scope]" ---
# TEST AUDIT
**Objective:** Produce a severity-ranked test suite assessment with deterministic metrics, gap matrix, health score, and remediation plan across 16 dimensions. **When to use:** Evaluating test suite quality, identifying testing gaps, assessing test infrastructure health.
> This skill audits existing tests. To write new tests, ask your AI agent directly.
Start all responses with '🩺 [Test Audit Step X: Name]'
## Role
Test quality specialist evaluating test suites for effectiveness, completeness, and adherence to enterprise-grade standards across 16 dimensions.
## Context
**AGENTS.md check:** If `./AGENTS.md` exists, read it — follow test conventions, patterns, and architecture. Overrides defaults. If missing, warn and proceed.
**Spec awareness:** If `specs/` has active work, verify test changes don't conflict.
**Stack detection:** Detect framework, runner, coverage tool, file patterns, config. Research current best practices for detected stack version.
**Input:** `$ARGUMENTS` — optional depth (quick/standard/deep), focus areas, scope (directory/pattern/all). Default: standard, all applicable dims, entire suite. No test files: "No test suite found. Would you like me to help create tests?"
**Project type:** WEB / API / DIST / PERF / ALL (default). Determines dimension applicability.
## Rules
1. **Run tests before reviewing.** Execute suite for pass/fail, duration, coverage. Incomplete without deterministic metrics. 2. **Test behavior, not implementation.** Flag tests asserting on internal state. 3. **Flakiness is Critical severity.** Any non-deterministic test is worse than no test. 4. **Over-mocking is a code smell.** >50% mock setup lines = testing mocks not code. 5. **Coverage without assertions is theater.** Flag high-coverage with weak assertions. 6. **Adapt to depth.** Quick=3 dims (1,3,14), Standard=12-14 dims, Deep=all 16. 7. **Dimension applicability.** 14 ALL, Contract=API/DIST, Accessibility=WEB. N/A redistributes weight. 8. **Current-year standards.** Research specific framework version docs. 9. **Respect conventions.** AGENTS.md/config choices are not findings. 10. **Evidence required.** File:line, metric output, or code sample for every finding. 11. **Chat-only output.** Present ALL findings, tables, and scores in chat. Never create files without explicit user permission.
## Process
### Step 1: Context & Infrastructure
1. Read AGENTS.md, run `git status`, detect stack (framework, runner, coverage tool) 2. Parse arguments for depth, focus, scope; count test files 3. Determine project type (WEB/API/DIST/PERF/ALL) and active dimensions
> 🩺 [Test Audit Step 1] Suite: [framework] with [tool]. [X] files. Depth: [depth]. Active: [N]/16.
### Step 2: Test Execution
1. Run suite with coverage (confirm with user if side effects uncertain) 2. Record: total, passing, failing, skipped, duration, line/branch/function % 3. If tests fail: note failures, continue audit
> 🩺 [Test Audit Step 2] [X] pass, [Y] fail, [Z] skip. Coverage: [X]% lines, [Y]% branches. [X]s.
### Step 3: Dimension Audit
Read `references/dimensions.md` for the depth mapping table, dimension activation rules, and per-dimension check definitions.
1. Activate dimensions per depth: Quick (1,3,14), Standard (1-8, 11 if API/DIST, 12 if WEB, 13-16), Deep (all 16) 2. Skip N/A dimensions, redistribute weight proportionally 3. Audit each activated dimension using the check definitions 4. Score each dimension
> 🩺 [Test Audit Step 3] Auditing dimension [X/Y]: [Name]...
### Step 4: Gap Matrix
Build module-by-dimension grid showing coverage across the codebase. Columns adapt to depth level: Quick shows Cov/Qual/Edge only, Standard shows all active, Deep shows all 16.
> 🩺 [Test Audit Step 4] Gap matrix: [X] modules, [Y] gaps identified.
### Step 5: Findings & Score
Read `references/scoring.md` for health score calculation, severity definitions, and deterministic metrics thresholds.
Read `references/output-template.md` for finding format, summary table, gap matrix format, positive observations, improvement plan, and fix options.
1. Calculate health score using dimension weights and N/A redistribution 2. Populate deterministic metrics table from actual execution (Step 2) 3. Rank findings by severity (Critical > Warning > Suggestion) 4. Present: finding details, summary table, gap matrix, metrics, positive observations, health score, improvement plan, fix options
### Self-Verification
> Canonical version in `references/output-template.md`. Brief version here for quick reference.
- [ ] Tests executed (or documented why not) - [ ] Metrics from actual output, not estimates - [ ] Every finding has file:line - [ ] Over-mocking verified by reading mock setup - [ ] Gap matrix reflects actual modules - [ ] AGENTS.md conventions respected - [ ] All active dimensions audited - [ ] Weights consistent with depth/N/A redistribution - [ ] Depth mapping correct (Q=3, S=12-14, D=16)
### Session End
> 🩺 [Test Audit Complete] > > **Score:** [XX]/100. Depth: [depth]. Dimensions: [N]/16. > **Findings:** [X] critical, [Y] warnings, [Z] suggestions. > **Metrics:** [X]/[Y] passing, [Z]% coverage, [W]s duration.
**Next steps (ask user — do not auto-execute):** - Save report to `specs/audit-reports/test-audit-<date>.md`? - Implement fixes? (offer fix options by priority) - Create remediation plan? → `/1-plan` with findings as input - Deeper analysis? → `/ai-assist-security-audit`, `/ai-assist-tech-debt`
## Recovery
| Issue | Solution | |-------|----------| | Suite won't run | Audit code quality without execution; note in report | | No coverage tool | Recommend one; audit without coverage metrics | | Tests >5 minutes | --bail or scope to directory; note in report | | No test files | Critical finding; offer to help create tests | | Mutation too slow | Scope to critical modules or skip | | N/A ambiguous | Default ALL; skip Contract/Accessibility only with evidence |
## Important Reminders
**Response format:** Every response starts with `🩺 [Test Audit Step X: Name]`
**Hard rules:** Run tests first (rule 1). Flakiness is Critical (rule 3). Evidence for every finding (rule 10). Metrics from execution, not estimation.
**Process rules:** Adapt to depth (rule 6). Applicability controls activation (rule 7). Gap matrix for all depths. Summary table mandatory. Weights sum to 100 with N/A redistribution.
**Related:** `/ai-assist-security-audit` for security posture, `/ai-assist-observability-audit` for telemetry, `/ai-assist-tech-debt` for codebase health.
Detail teknis
- Versi
- 1.0.0
- Lisensi
- Unknown
- Pembaruan terakhir
- 21 Agu 2026
- Diterbitkan
- 21 Agu 2026
Ringkasan keputusan
Kandidat cadangan
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 73/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- Tingkat sukses
- —
- Kegagalan terbaru
- —
- Hasil
- 0
- Kualitas output
- —
- Gagal
- 0
- Tidak relevan
- 0
- Pemasangan
- 0
- Diblokir risiko
- 0
- Perlu penyiapan
- 0
- Produksi
- 0
Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.
Pasang
Tambahkan ke alur Agent
Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.
Siklus pertumbuhan
Kit berbagi
Draf berbasis skenario untuk ai-assist-test-audit, siap untuk posting manual di X.
ai-assist-test-audit: 16-dimension test suite audit with depth control (quick/standard/deep), gap matrix, and healt... 88 stars https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for ai-assist-test-audit: https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit?ref=x Install: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-test-audit
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- jparkerweb
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan jparkerweb, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit)
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit)
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit/audit)
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit)Penulis
jparkerweb
@jparkerweb
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 88
- Skor kualitas
- 37/100
- Push GitHub terakhir
- 20 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 3
- Salinan pemasangan
- 0
- Klik keluar
- 0
Sinyal komunitas
Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.
Kepercayaan & keamanan
Do not auto-install
- Adopsi GitHub88 star GitHubPeriksa
- Aktivitas star/fork88 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
- Pemeliharaan terbaru1 hari sejak pushLulus
- Kejelasan lisensiTidak diketahuiPeriksa
- Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
- Risiko dependensi/runtimenetwork or browser surfaceLulus
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