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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/adriannoes-report
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About
Use cases: documents, testing, data, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/report
What's inside
- Skill name
report- Description
- Generate test report. Use when user says "test report", "results summary", "test status", "show results", "test dashboard", or "how did tests go".
- License
- MIT
- Instructions
- 121 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Smart Test Reporting
Generate test reports that plug into the user's existing workflow. Zero new tools.
## Steps
### 1. Run Tests (If Not Already Run)
Check if recent test results exist:
```bash
ls -la test-results/ playwright-report/ 2>/dev/null
```
If no recent results, run tests:
```bash
npx playwright test --reporter=json,html,list 2>&1 | tee test-output.log
```
### 2. Parse Results
Read the JSON report:
```bash
npx playwright test --reporter=json 2> /dev/null
```
Extract:
- Total tests, passed, failed, skipped, flaky
- Duration per test and total
- Failed test names with error messages
- Flaky tests (passed on retry)
### 3. Detect Report Destination
Check what's configured and route automatically:
| Check | If found | Action |
|---|---|---|
| `TESTRAIL_URL` env var | TestRail configured | Push results via `/pw:testrail push` |
| `SLACK_WEBHOOK_URL` env var | Slack configured | Post summary to Slack |
| `.github/workflows/` | GitHub Actions | Results go to PR comment via artifacts |
| `playwright-report/` | HTML reporter | Open or serve the report |
| None of the above | Default | Generate markdown report |
### 4. Generate Report
#### Markdown Report (Always Generated)
```markdown
# Test Results — {{date}}
## Summary
- ✅ Passed: {{passed}}
- ❌ Failed: {{failed}}
- ⏭️ Skipped: {{skipped}}
- 🔄 Flaky: {{flaky}}
- ⏱️ Duration: {{duration}}
## Failed Tests
| Test | Error | File |
|---|---|---|
| {{name}} | {{error}} | {{file}}:{{line}} |
## Flaky Tests
| Test | Retries | File |
|---|---|---|
| {{name}} | {{retries}} | {{file}} |
## By Project
| Browser | Passed | Failed | Duration |
|---|---|---|---|
| Chromium | X | Y | Zs |
| Firefox | X | Y | Zs |
| WebKit | X | Y | Zs |
```
Save to `test-reports/{{date}}-report.md`.
#### Slack Summary (If Webhook Configured)
```bash
curl -X POST "$SLACK_WEBHOOK_URL" \
-H 'Content-Type: application/json' \
-d '{
"text": "🧪 Test Results: ✅ {{passed}} | ❌ {{failed}} | ⏱️ {{duration}}\n{{failed_details}}"
}'
```
#### TestRail Push (If Configured)
Invoke `/pw:testrail push` with the JSON results.
#### HTML Report
```bash
npx playwright show-report
```
Or if in CI:
```bash
echo "HTML report available at: playwright-report/index.html"
```
### 5. Trend Analysis (If Historical Data Exists)
If previous reports exist in `test-reports/`:
- Compare pass rate over time
- Identify tests that became flaky recently
- Highlight new failures vs. recurring failures
## Output
- Summary with pass/fail/skip/flaky counts
- Failed test details with error messages
- Report destination confirmation
- Trend comparison (if historical data available)
- Next action recommendation (fix failures or celebrate green)From adriannoes/awesome-agentic-ai, MIT.
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Signals
- Stars
- 72
- Forks
- 19
- Open issues
- 0
- Last commit (this folder)
- Jun 11, 2026 (4 months ago)
- Last release
- Oct 24, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/adriannoes/awesome-agentic-ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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building-incident-response-playbook
adriannoes
Designs and documents structured incident response playbooks that define step-by-step procedures for specific incident types aligned with NIST SP 800-61r3 and…
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Analyzes bootkit and advanced rootkit malware that infects the Master Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware to gain persistence below…
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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report skill. Agent Mart. https://agentmart.dev/skills/adriannoes-report (last updated 2026-10-24)