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accelint-ac-to-playwright

accelint-ac-to-playwright is a skill for Claude Code, Codex from gohypergiant/agent-skills. It costs 123 tokens per session (4,284 once invoked), scanned A, original, Apache-2.0.

A workflow for checking acceptance criteria—statements describing when a feature is complete—and turning them into Playwright browser tests.

In plain words
What is it for?
It helps review criteria, assess whether they are ready for automation, create test plans, and generate Playwright tests.
Why use it?
It reveals whether requirements are clear and testable before automation work begins, reducing ambiguous or unreliable tests.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 24repo +2 today A scan SkillSpector: warn 123 tokens original Apache-2.0

Good fit It helps review criteria, assess whether they are ready for automation, create test plans, and generate Playwright tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gohypergiant/agent-skills/accelint-ac-to-playwright
View source ↗ gohypergiant/agent-skills agent-skills.accelint.io
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 gohypergiant/agent-skills --skill accelint-ac-to-playwright
Clone the repo
git clone --depth 1 https://github.com/gohypergiant/agent-skills

Made for: Claude Code, Codex.

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 accelint-ac-to-playwright

README.md
[![agentmods](https://agentmods.dev/badge/skills/gohypergiant/agent-skills/accelint-ac-to-playwright/github.svg)](https://agentmods.dev/skills/gohypergiant/agent-skills/accelint-ac-to-playwright)
Your own site
<a href="https://agentmods.dev/skills/gohypergiant/agent-skills/accelint-ac-to-playwright"><img src="https://agentmods.dev/badge/skills/gohypergiant/agent-skills/accelint-ac-to-playwright/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 accelint-ac-to-playwright

Your own site · 80×15
<a href="https://agentmods.dev/skills/gohypergiant/agent-skills/accelint-ac-to-playwright"><img src="https://agentmods.dev/badge/skills/gohypergiant/agent-skills/accelint-ac-to-playwright.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,284 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 high

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 →

  • high System Prompt Leakage · line 151
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
  • medium MCP Rug Pull · line 176
    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 181
    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 222
    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]
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 $0.00123 $0.04284
Opus 5 $0.00062 $0.02142
Sonnet 5 $0.00025 $0.00857
Haiku 4.5 $0.00012 $0.00428

Measured 12d ago against content hash 4ee2fadaa619, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

accelint-ac-to-playwright scanned grade A with 0 findings 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 12d ago.

The scan reads SKILL.md. This mod also ships 41 executable files (assets/fixtures/console-tracking.ts, assets/fixtures/error-handling.ts, assets/templates/playwright.config.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/accelint-ac-to-playwright/SKILL.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AC To Playwright

MANDATORY - READ ENTIRE FILE: Before processing ANY acceptance criteria, you MUST read references/acceptance-criteria.md (~175 lines) completely from start to finish. NEVER set any range limits when reading this file. It is the authoritative source for AC writing rules and mappings.

Note on test-hooks.md: Load references/test-hooks.md when converting AC → JSON plans or when running Assessment mode — it contains the controlled vocabulary for area/component/intent target naming patterns. Do NOT load when converting plans → tests (translation script handles this automatically).

Intent Detection

The skill supports two modes based on user phrasing:

Assessment mode (triggers on):

  • "review these AC"
  • "evaluate these AC"
  • "check if these AC are ready"
  • "can these AC be converted as-is"
  • "are these AC automation-ready"
  • "assess these acceptance criteria"

Full conversion mode (triggers on):

  • "convert these AC"
  • "generate tests from AC"
  • "turn AC into Playwright tests"
  • "create test automation"

Assessment mode analyzes AC text only (no artifact generation). Full conversion mode generates plans and tests.

Assessment Workflow

  1. Detect intent: User asks to review/evaluate/assess/check AC readiness.
  2. Prepare for the task:
  • Read references/acceptance-criteria.md and references/test-hooks.md.
  • Work one input file at a time.
  1. Analyze AC text against all conversion requirements:
    • Structure & Format:
      • Bullet format: proper - markers for each AC
      • Gherkin format: valid Feature/Scenario/Examples/Given/When/Then/tags structure
      • Step ordering: all Givens → all Whens → all Thens (no mixing within a scenario)
    • Targets (semantic validation):
      • Every action specifies a target
      • Target meets the area/component/intent pattern (all three parts present)
      • Area matches controlled vocabulary from test-hooks.md (nav, header, footer, form, drawer, card, toast, modal, table, page, area)
      • Component matches controlled vocabulary (button, link, input, dropdown, checkbox, radio, text, div, component)
      • Intent is present
    • Actions:
      • Verbs are recognized and mappable to Playwright actions (click, fill, select, drag)
      • No vague verbs (interact, use, hover without x/y coordinates)
      • Fill/select actions have quoted literal values (not "a valid email" or "any value")
    • Expected Outcomes:
      • Explicitly stated (not implied or inferred)
      • Measurable (specific text content, element, or state)
      • Visibility changes use trigger words (appears, shows, hides, visible, see)
  2. Report results:
    • If issues found: Report "❌ AC are not conversion-ready" with detailed issue list (see output format below)
    • If no issues: Report "✓ AC are conversion-ready" with validated checklist
    • Do NOT generate any files (no JSON plans, no test files)
    • Report results for all input files - do not stop Assessment mode after a single failure to ensure all issues are surfaced to the user at once.

Read the full file on GitHub · 279 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 279 lines · 123 tokens per session scan A 4ee2fadaa619

Subscribe to this mod's changes

accelint-ac-to-playwright is a skill published in the GitHub repository gohypergiant/agent-skills (24 stars, last pushed today), licensed Apache-2.0. It adds 123 tokens to every session and 4,284 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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