ai-assist-test-audit

Tinjau · 58
Diindeks di Registry

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,

Verified installs0
Star88
Versi1.0.0
Kualitas61/100 · Menjanjikan
Kepercayaan58/100 · Do not auto-install
Audit73/100 · Perlu ditinjau

Profil aset

Riset dan pekerjaan pengetahuan

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Lihat kategori

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

RisetAgent risetKeamananagent-skill

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

Menjanjikan
61

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Do not auto-install
58

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Perlu ditinjau
73

Tinjauan 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.

CodexClaude CodeCursorOpenAgentSkill CLI

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.

Buka JSON

Tugas yang sesuai

  • Alur kerja Agent riset
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Sumber pencarian

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

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-audit

Jangan 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

EksperimentalTinjau

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Selesaikan via API

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.

skill install

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-audit

Rencana 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 rencana teks

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.

Buka API pemasangan

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-audit

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

61/100

Agent riset

Platform

Claude Code

Laporan audit

Perlu ditinjau · 73/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

61
Kesiapan
Prototipe
Tahap

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

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 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.

58
Trust Score OpenAgentSkill

Adopsi GitHub

Periksa

88 star GitHub

Aktivitas star/fork

Periksa

88 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

1 hari sejak push

Kejelasan lisensi

Periksa

Tidak 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.

61
Star GitHub
88
Keterkinian
1 hari lalu
Siap dipasang
Ya
Lisensi
Tidak diketahui
Tinjau sebelum memasang: Repository license is unknown; consider adding a license file for clarity.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

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

61
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

73
Perlu ditinjau
Keamanan
73/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
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

X

Draf berbasis skenario untuk ai-assist-test-audit, siap untuk posting manual di X.

Catatan kurator
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
Buka draf 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
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

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 ini

Klaim 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.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-test-audit?metric=listed&label=Listed)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-test-audit?metric=trust&label=Trust)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-test-audit?metric=audit&label=Audit)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-test-audit?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-test-audit)

Penulis

J

jparkerweb

@jparkerweb

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

58
  • 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