Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Manual Test

ASecurity

Prepare for manual testing session with test plan based on known issues, recent changes, and acceptance criteria.

7 stars
0 votes
0 copies
0 views
Added 9/22/2026
ai-agentsrustgobashtestinggit

Security Analysis

A100/100

Scanned 9/22/2026

Install to Claude Code

$npx -y skills add joris887/exosuit --skill manual-test --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Manual Test?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Manual Test
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/joris887-manual-test/badge)](https://www.skillsdirectory.com/skills/joris887-manual-test)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: manual-test
version: 2.4.0
description: Prepare for manual testing session with test plan based on known issues, recent changes, and acceptance criteria.
trigger: manual
depends-on: []
references: []
disable-model-invocation: true
user-invocable: true
allowed-tools: Read, Glob, Grep, Bash
---
______________________________________________________________________

## manual-test

Preparing manual test session...

## 1. Gather Context

Read these files to understand what to test:

### Recent Changes

```bash
# What changed recently (last 20 commits or since last tag)
git log --oneline -20
git diff --stat HEAD~10
```

Identify which areas of the project were modified and map to testable features.

### Known Issues

Check the backlog for known gaps and bugs that are still TODO:

- Read relevant epic files in `docs/reference/backlog/`
- These are **confirmed issues** — test around them but don't spend time re-discovering them

### Recent Sprint Work

- Read `docs/progress.md` for latest sprint info
- Check `docs/sprints/` for recent sprint specs with acceptance criteria

### UAT Coverage

- Read `docs/testing/UAT_COVERAGE.md` (if it exists) for test case status
- Identify which areas have not been tested yet

### Product Requirements & Personas

- Read `docs/context/personas.md` (if it exists) for lean persona cards — these provide CONTEXT, GOALS, FRUSTRATIONS, BEHAVIORS, EVALUATES BY, and FAILURE LOOKS LIKE fields that directly inform exploratory testing in Phase 3C
- Read `docs/reference/PRD_SUMMARY.md` (if it exists) for success criteria and user flows
- Section 3 (success criteria) identify what to prioritize testing
- Section 4 (user flows) provide the core scenarios to regression test
- If both personas.md and PRD Section 2 exist, prefer personas.md (richer behavioral detail for test generation)

## 2. Pre-Flight Checks

Before manual testing, verify the system is ready:

Run the project's test command (from CLAUDE.md) to ensure automated tests pass.

If pre-flight fails, fix issues before proceeding to manual testing.

## 3. Generate Test Plan

Generate a structured test plan covering three areas:

### A. Regression Tests (from recent changes)

Based on the git diff, generate specific test scenarios for recently modified code:

```markdown
#### Regression: [Area changed]
- [ ] **Scenario**: [What to test] — **Steps**: [How to test] — **Expected**: [What should happen]
```

### B. Known Issue Verification

For each recently fixed issue, generate a verification test:

```markdown
#### Verify Fix: [Story ID] — [Title]
- [ ] [Specific step to verify the fix still works]
```

For each open issue, note it as a known limitation:

```markdown
#### Known Limitation: [Story ID] — [Title]
- Warning: [Brief description] — skip testing this area
```

### C. Exploratory Testing

Based on architecture and project knowledge, suggest areas to probe.

**If personas.md was loaded:** Structure exploratory testing around each persona. For each persona, create scenarios that exercise their GOALS, probe their FRUSTRATIONS, use their CONTEXT constraints, and check for their FAILURE LOOKS LIKE scenarios. Apply their EVALUATES BY questions to each tested feature.

**If only PRD_SUMMARY.md was loaded (no personas.md):** Structure exploratory testing around each persona from PRD Section 2. For each persona, create scenarios that exercise their primary goal, pain points, and constraints.

Example: a persona with "low connectivity" context → test offline/slow-network behavior. A persona with "screen reader" context → test keyboard navigation and ARIA labels. A persona with "FAILURE LOOKS LIKE: gets stuck on jargon-filled error messages" → verify all error messages are plain English.

```markdown
#### Exploratory: [Feature Area] (as [Persona Name])
- [ ] [Step 1 — what to do and what to look for, from persona's perspective]
- [ ] [Step 2]

#### Exploratory: Error Handling
- [ ] [Provoke an error condition and verify graceful handling]

#### Exploratory: Edge Cases
- [ ] [Test boundary conditions, empty states, large inputs]
```

## 4. Present Test Plan

Output the complete test plan:

```markdown
## Manual Test Plan — [Date]

### Environment
- [List required services, tools, and their status]

### A. Regression Tests ([count] scenarios)
[generated scenarios]

### B. Known Issue Checks
**Verified fixes**: [count]
**Known limitations**: [count]
[generated checks]

### C. Exploratory Testing ([count] areas)
[generated areas]

### How to Report Findings
Use `/testing-cycle <description of what you found>` for each issue.
This will classify it and handle it through the right process.

For structured UAT, use `/UAT-cycle <test-case-id>` to execute formal test cases.
```

## 5. Wait for Testing

Tell the user:

> The test plan is ready. Start the application if not already running, then work through the checklist. Report each finding with `/testing-cycle <feedback>`. When done, wrap up with `/sprint-end`.

Do not proceed until user reports back.

Attribution

joris887joris887
View sourceMore from joris887 →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

686011 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

651 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →