report

report is a skill for Claude Code from adriannoes/awesome-agentic-ai. It costs 37 tokens per session (784 once invoked), scanned A, original, MIT.

A tool that turns Playwright test results into summaries and reports. Playwright is a framework for automating and checking web browsers.

In plain words
What is it for?
Use it to create Markdown or HTML reports and, when configured, send results to TestRail, Slack, or a GitHub Actions pull request.
Why use it?
It gathers pass, failure, skip, flaky-test, error, and timing information so results do not have to be reviewed manually.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pw plugin — 10 skills, 3 agents, 2 hooks, 2 MCP servers shipped together

Good fit Use it to create Markdown or HTML reports and, when configured, send results to TestRail, Slack, or a GitHub Actions pull request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adriannoes/awesome-agentic-ai/report
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add adriannoes/awesome-agentic-ai --skill report
Clone the repo
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-ai

Made for: Claude Code.

Or install pw, the plugin that ships this one along with the rest of its 10 skills, 3 agents, 2 hooks, 2 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for report

README.md
[![agentmods](https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/report/github.svg)](https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/report)
Your own site
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/report"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/report/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for report

Your own site · 80×15
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/report"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 784 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 25
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 33
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 105
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium Data Exfiltration · line 91
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.00784
Opus 5 $0.00018 $0.00392
Sonnet 5 $0.00007 $0.00157
Haiku 4.5 $0.00004 $0.00078

Measured 10d ago against content hash d1ba6caafa62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

report scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "$SLACK_WEBHOOK_URL" \
cursor-claude-codex/skills/alirezarezvani-skills/playwright-pro/skills/report/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

ls -la test-results/ playwright-report/ 2>/dev/null

If no recent results, run tests:

npx playwright test --reporter=json,html,list 2>&1 | tee test-output.log

2. Parse Results

Read the JSON report:

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)
# 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)
curl -X POST "$SLACK_WEBHOOK_URL" \
  -H 'Content-Type: application/json' \
  -d '{
    "text": "🧪 Test Results: ✅ {{passed}} | ❌ {{failed}} | ⏱️ {{duration}}\n{{failed_details}}"
  }'

Read the full file on GitHub · 127 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 127 lines · 37 tokens per session scan A d1ba6caafa62

Subscribe to this mod's changes

report is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 12d ago), licensed MIT. It adds 37 tokens to every session and 784 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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