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.
npx skills add HoangNguyen0403/agent-skills-standard --skill verify-buggit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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.
[](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/verify-bug)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/verify-bug"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/verify-bug/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.
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/verify-bug"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/verify-bug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.01286 |
| Opus 5 | $0.00019 | $0.00643 |
| Sonnet 5 | $0.00008 | $0.00257 |
| Haiku 4.5 | $0.00004 | $0.00129 |
Grade A, and why
verify-bug 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 9d 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.
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.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify Bug Skill
[!IMPORTANT] Post-merge UAT verification workflow. Walks JIRA reproduce steps, performs comparative audits (Before/After), attaches evidence to JIRA, and transitions status on PASS.
Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.
Instructions
When the user asks to perform this workflow, execute the following steps:
Verify-Bug — UAT Audit
Goal: Prove a bug fix works in the UAT environment via comparative Before/After evidence, then transition ticket status.
Input
/verify-bug <jira-url-or-key> [--baseline-image <url>]
Workflow
Step 0: Pre-flight & Data Gathering
[!TIP] Sub-Agent Delegation: If your platform supports sub-agents (e.g., Claude, OpenCode, Gemini, Kiro), delegate steps 1-3 below to your JIRA Analyst sub-agent (e.g.,
@specialist-jira-analyst). If sub-agents are NOT supported (e.g., Antigravity, Windsurf), you must execute these steps yourself.
- Parse JIRA: Extract
Market,Reproduce steps, andExpected Result. - Resolve Markets: If multiple markets, prompt for scope (Full/Sample/Custom).
- Fetch Test Data: Call Confluence for
Test data - <MARKET> UAT. Parse credentials and module-specific data (e.g., customer codes). - Credential Check: Rule out expired accounts before starting sessions.
- Fallback: If Jira/Confluence MCPs are unavailable, request exported ticket/test-data text and continue with local evidence.
Step 1: Comparative Audit (Execution Phase)
For each market in scope:
- Environment Setup: Run the DNS probe from
<SKILLS>/common/common-web-visual-testing/references/diagnostic-decoder.md; if it indicates VPN is required, connect VPN and retry. - Named Session: Start
playwright-cli -s={TICKET}-{MARKET}or Appium session. - Walk Steps: Execute reproduction steps.
- Hover Discipline: Always
hoverthe target element (warning, button, price) before screenshotting. - Stability: Disable animations and mask dynamic fields (clocks, balances).
- Hover Discipline: Always
- Verdict Determination:
- PASS: End-state matches
Expected Result. - FAIL: End-state matches
Actual Resultor original bug screenshot. - NEEDS-HUMAN: Deviates from both.
- PASS: End-state matches
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.
- 9d ago First seen · 128 lines · 39 tokens per session scan A aff3a2e19afc
verify-bug is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 1,286 once invoked, about $0.0002 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 2026-09-03.
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